Stem textur$ (all stems)

298 papers:

HIMI-IKC-2015-ZhangT #design #game studies

Considering a New Nanbu Fuurin Design that Play a Healing Sound — Including Innovations in Appearance and Texture, and Continually Improving- (YZ, TT), pp. 675–684.

CHI-2014-KaziCGZF #named

Draco: bringing life to illustrations with kinetic textures (RHK, FC, TG, SZ, GWF), pp. 351–360.

HIMI-DE-2014-YamanakaN #image #research

Basic Research on the Factors Influencing Perception of Texture from Images (KY, KN), pp. 281–288.

ICPR-2014-AwadCR #hybrid

A New Hybrid Texture-Perceptual Descriptor: Application CBIR (DA, VC, AR), pp. 1150–1155.

ICPR-2014-BertoliniOJS #identification

Assessing Textural Features for Writer Identification on Different Writing Styles and Forgeries (DB, LSO, EJRJ, RS), pp. 268–272.

ICPR-2014-ByeonLB #2d #classification #network #using

Texture Classification Using 2D LSTM Networks (WB, ML, TMB), pp. 1144–1149.

ICPR-2014-ChenWLHI #image #robust #segmentation #using

Robust Text Line Segmentation for Historical Manuscript Images Using Color and Texture (KC, HW, ML, JH, RI), pp. 2978–2983.

ICPR-2014-CoteA #segmentation

Sparseness-Based Descriptors for Texture Segmentation (MC, ABA), pp. 1108–1113.

ICPR-2014-GadermayrHU #adaptation #classification

Scale-Adaptive Texture Classification (MG, SH, AU), pp. 2643–2648.

ICPR-2014-Garcia-OlallaAFG #classification #statistics

Local Oriented Statistics Information Booster (LOSIB) for Texture Classification (OGO, EA, LFR, VGC), pp. 1114–1119.

ICPR-2014-HafianePS #adaptation #classification

Adaptive Median Binary Patterns for Texture Classification (AH, KP, GS), pp. 1138–1143.

ICPR-2014-HouHW #modelling #synthesis #video

Cloud Model-Based Dynamic Texture Synthesis for Video Coding (ZH, RH, ZW), pp. 838–842.

ICPR-2014-KacheleS #independence #recognition #set

Cascaded Fusion of Dynamic, Spatial, and Textural Feature Sets for Person-Independent Facial Emotion Recognition (MK, FS), pp. 4660–4665.

ICPR-2014-LiuXYZ #analysis

Texture Analysis with Shape Co-occurrence Patterns (GL, GSX, WY, LZ), pp. 1627–1632.

ICPR-2014-MajtnerSS #image #named #performance

RSURF — The Efficient Texture-Based Descriptor for Fluorescence Microscopy Images of HEP-2 Cells (TM, RS, DS), pp. 1194–1199.

ICPR-2014-MehnertMSMB #approach

A Structural Texture Approach for Characterising Malignancy Associated Changes in Pap Smears Based on Mean-Shift and the Watershed Transform (AM, RM, KS, PM, EB), pp. 1189–1193.

ICPR-2014-MehriMHGMM #benchmark #documentation #evaluation #metric #performance #set

Performance Evaluation and Benchmarking of Six Texture-Based Feature Sets for Segmenting Historical Documents (MM, MM, PH, PGK, MAM, RM), pp. 2885–2890.

ICPR-2014-MiyanS #consistency #image #using

Finding Corresponding Patches in Texture Images Using Tensor Consistency Check (SBM, JS), pp. 4021–4026.

ICPR-2014-MurshedJI #robust

Discriminative Directional Texture and Color for Robust Target Tracking (MM, TJ, SMZI), pp. 4176–4181.

ICPR-2014-SariE #analysis #detection #fault #independence #using

Texture Defect Detection Using Independent Vector Analysis in Wavelet Domain (LS, AE), pp. 1639–1644.

ICPR-2014-SeckDT #3d #analysis #geometry #using

3D Facial Skin Texture Analysis Using Geometric Descriptors (AS, HD, BT), pp. 1126–1131.

ICPR-2014-SintornK #recognition

Virus Recognition Based on Local Texture (IMS, GK), pp. 3227–3232.

ICPR-2014-SouzaSB #classification

Extracting Texture Features for Time Series Classification (VMAdS, DFS, GEAPAB), pp. 1425–1430.

ICPR-2014-TianLL #image #modelling #segmentation

A Histogram-Based Chan-Vese Model Driven by Local Contrast Pattern for Texture Image Segmentation (HT, YL, JHL), pp. 954–959.

ICPR-2014-WangYLZF #independence #recognition #using

Micro-expression Recognition Using Dynamic Textures on Tensor Independent Color Space (SW, WJY, XL, GZ, XF), pp. 4678–4683.

ICPR-2014-ZhuYCTJYZ #adaptation #classification #hybrid

A Noise-Robust Adaptive Hybrid Pattern for Texture Classification (ZZ, XY, CLPC, DT, XJ, FY, JZ), pp. 1633–1638.

ICDAR-2013-KieuJVMD #3d #documentation #generative #image #using

Semi-synthetic Document Image Generation Using Texture Mapping on Scanned 3D Document Shapes (VCK, NJ, MV, RM, JPD), pp. 489–493.

ICDAR-2013-ZhangLSM #invariant #rank

Rectification of Optical Characters as Transform Invariant Low-Rank Textures (XZ, ZL, FS, YM), pp. 393–397.

DHM-HB-2013-IkenoboKKGK #case study #process

A Study of the Effect of the Shape, the Color, and the Texture of Ikebana on a Brain Activity (YI, YK, NK, AG, AK), pp. 59–65.

DUXU-NTE-2013-FukatsuOKST #evaluation #mobile

Evaluation of Effects of Textures Attached to Mobile Devices on Pointing Accuracy (YF, TO, YK, BS, JT), pp. 255–263.

DUXU-WM-2013-Cho #image

Texture and Relative Movement in Moving Image (YTC), pp. 478–485.

HCI-III-2013-JuL #algorithm

A Dense Stereo Matching Algorithm with Occlusion and Less or Similar Texture Handling (HJ, CL), pp. 171–177.

HCI-IMT-2013-DharmaT #diagrams

Mapping Texture Phase Diagram of Artificial Haptic Stimuli Generated by Vibrotactile Actuators (AAGD, KT), pp. 578–586.

DRR-2012-ChandaFP #clustering #documentation #using

Clustering document fragments using background color and texture information (SC, KF, UP).

CHI-2012-KaziIZD #design #gesture #interactive #named

Vignette: interactive texture design and manipulation with freeform gestures for pen-and-ink illustration (RHK, TI, SZ, RCD), pp. 1727–1736.

ICPR-2012-0001ZP #segmentation #using

Unsupervised dynamic texture segmentation using local descriptors in volumes (JC, GZ, MP), pp. 3622–3625.

ICPR-2012-AdanMS #3d #geometry #modelling

Creating realistic 3D models from scanners by decoupling geometry and texture (AA, PM, SS), pp. 457–460.

ICPR-2012-CataldoBFM #classification #image

Applying textural features to the classification of HEp-2 cell patterns in IIF images (SDC, AB, EF, EM), pp. 3349–3352.

ICPR-2012-DoshiS #algorithm #benchmark #metric #retrieval

A comprehensive benchmark of local binary pattern algorithms for texture retrieval (NPD, GS), pp. 2760–2763.

ICPR-2012-GossowWB #invariant

Distinctive texture features from perspective-invariant keypoints (DG, DW, MB), pp. 2764–2767.

ICPR-2012-HaindlRH #markov

Potts compound Markovian texture model (MH, VR, VH), pp. 29–32.

ICPR-2012-HongZPC #correlation

Combining local and global correlation for texture description (XH, GZ, MP, XC), pp. 2756–2759.

ICPR-2012-HouHWH #synthesis #video

Improvements of dynamic texture synthesis for video coding (ZH, RH, ZW, ZH), pp. 3148–3151.

ICPR-2012-HsinSK #algorithm #performance #synthesis

A fast wavelet-packet-based algorithm for texture synthesis (HCH, TYS, LTK), pp. 3124–3127.

ICPR-2012-LiYLKZL #classification #multi #using

Multiclass boosting SVM using different texture features in HEp-2 cell staining pattern classification (KL, JY, ZL, XK, RZ, WL), pp. 170–173.

ICPR-2012-PedoneH #invariant #recognition #robust

Local phase quantization descriptors for blur robust and illumination invariant recognition of color textures (MP, JH), pp. 2476–2479.

ICPR-2012-SantosPTGPF #classification #image #multi #using #visual notation #word

Improving texture description in remote sensing image multi-scale classification tasks by using visual words (JAdS, OABP, RdST, PHG, SPF, AXF), pp. 3090–3093.

ICPR-2012-SchaeferD #analysis #multi

Multi-dimensional local binary pattern descriptors for improved texture analysis (GS, NPD), pp. 2500–2503.

ICPR-2012-SimoesSW #detection #image #using

Using local texture maps of brain MR images to detect Mild Cognitive Impairment (RS, CHS, AMvCvW), pp. 153–156.

ICPR-2012-SintornK #recognition

Regional Zernike moments for texture recognition (IMS, GK), pp. 1635–1638.

ICPR-2012-SnellCK #identification

Texture and shape in fluorescence pattern identification for auto-immune disease diagnosis (VS, WJC, JK), pp. 3750–3753.

ICPR-2012-ThibaultA #classification #performance #statistics

Efficient statistical/morphological cell texture characterization and classification (GT, JA), pp. 2440–2443.

ICPR-2012-WangCCP #detection #realtime #using

Real-time smoke detection using texture and color features (YW, TWC, RC, NTP), pp. 1727–1730.

SAC-2012-CarvalhoSG #adaptation #fuzzy #segmentation #using

Texture fuzzy segmentation using adaptive affinity functions (BMC, TSS, EG), pp. 51–53.

ICDAR-2011-ZhangS #rank

Circle Text Expansion as Low-Rank Textures (XZ, FS), pp. 202–206.

CSCW-2011-AspinR #3d #approach #gpu #multi

A GPU based, projective multi-texturing approach to reconstructing the 3D human form for application in tele-presence (RAA, DJR), pp. 105–112.

MLDM-2011-AttigP #biology #comparison #image #random #set

A Comparison between Haralick’s Texture Descriptor and the Texture Descriptor Based on Random Sets for Biological Images (AA, PP), pp. 524–538.

SAC-2011-LanLSH #algorithm #analysis #case study #classification #comparative #image

A comparative study and analysis on K-view based algorithms for image texture classification (YL, HL, ES, CCH), pp. 859–860.

ICPR-2010-AlbarelliRCT #approach #game studies #robust

Robust Figure Extraction on Textured Background: A Game-Theoretic Approach (AA, ER, AC, AT), pp. 360–363.

ICPR-2010-Allili #retrieval #using

Wavelet-Based Texture Retrieval Using a Mixture of Generalized Gaussian Distributions (MSA), pp. 3143–3146.

ICPR-2010-AlvarezSVO #dataset

Perceptual Color Texture Codebooks for Retrieving in Highly Diverse Texture Datasets (SÁ, AS, MV, XO), pp. 866–869.

ICPR-2010-BespalovDS #geometry

Geometric Total Variation for Texture Deformation (DB, ABD, AS), pp. 4597–4600.

ICPR-2010-DongSD #3d #estimation

Illumination Estimation of 3D Surface Texture Based on Active Basis (JD, LS, YD), pp. 870–873.

ICPR-2010-DuboisPM #adaptation #analysis #component #composition #using

Decomposition of Dynamic Textures Using Morphological Component Analysis: A New Adaptative Strategy (SD, RP, MM), pp. 2258–2261.

ICPR-2010-FilipHC

Gaze-Motivated Compression of Illumination and View Dependent Textures (JF, MH, MJC), pp. 862–865.

ICPR-2010-GhanemA #linear #recognition

Sparse Coding of Linear Dynamical Systems with an Application to Dynamic Texture Recognition (BG, NA), pp. 987–990.

ICPR-2010-GuneyA

Maximally Stable Texture Regions (MG, NA), pp. 4549–4552.

ICPR-2010-HaindlH

A Compound MRF Texture Model (MH, VH), pp. 1792–1795.

ICPR-2010-HaindlH10a

Near-Regular BTF Texture Model (MH, MH), pp. 2114–2117.

ICPR-2010-IiyamaKM #image #multi

Super-Resolution Texture Mapping from Multiple View Images (MI, KK, MM), pp. 1820–1823.

ICPR-2010-MelendezPG #adaptation #classification #on the #segmentation

On Adapting Pixel-based Classification to Unsupervised Texture Segmentation (JM, DP, MAG), pp. 854–857.

ICPR-2010-MumtazMM #approach

A New Approach to Aircraft Surface Inspection Based on Directional Energies of Texture (MM, ABM, HM), pp. 4404–4407.

ICPR-2010-QiaoC #3d #analysis #component #modelling #statistics #using

Statistical Texture Modeling for Medical Volume Using Generalized N-Dimensional Principal Component Analysis Method and 3D Volume Morphing (XQ, YWC), pp. 2488–2491.

ICPR-2010-RaraAESF #re-engineering #recognition #using

Face Recognition at-a-Distance Using Texture, Dense- and Sparse-Stereo Reconstruction (HMR, AMA, SYE, TLS, AAF), pp. 1221–1224.

ICPR-2010-TosunSD #image #object-oriented #segmentation

Unsupervised Tissue Image Segmentation through Object-Oriented Texture (ABT, CS, CGD), pp. 2516–2519.

ICPR-2010-VachaH #invariant #recognition

Natural Material Recognition with Illumination Invariant Textural Features (PV, MH), pp. 858–861.

ICPR-2010-VesBRAS #modelling #retrieval

Wavelet-Based Texture Retrieval Modeling the Magnitudes of Wavelet Detail Coefficients with a Generalized Gamma Distribution (EdV, XB, AMCR, DGA, LS), pp. 221–224.

SAC-2010-LanLSH #algorithm #classification #image #using

An improved K-view algorithm for image texture classification using new characteristic views selection methods (YL, HL, ES, CCH), pp. 959–963.

SAC-2010-MillerRPW #identification #using

Personal identification using periocular skin texture (PEM, AWR, SJP, DLW), pp. 1496–1500.

ICDAR-2009-EmmanouilidisBP #classification #development #evaluation #locality

Development and Evaluation of Text Localization Techniques Based on Structural Texture Features and Neural Classifiers (CE, CB, NP), pp. 1270–1274.

ICDAR-2009-FornesLSB #identification #music #on the

On the Use of Textural Features for Writer Identification in Old Handwritten Music Scores (AF, JL, GS, HB), pp. 996–1000.

CHI-2009-HarrisonH09a #approach

Texture displays: a passive approach to tactile presentation (CH, SEH), pp. 2261–2264.

KDIR-2009-Abbadeni #multi #representation #retrieval

Texture Representation and Retrieval based on Multiple Strategies (NA), pp. 53–61.

SAC-2009-LiuDSYH #algorithm #classification #image #invariant #using

A new K-View algorithm for texture image classification using rotation-invariant feature (HL, SD, ES, CY, CCH), pp. 914–921.

SOFTVIS-2008-ByelasT #architecture #metric #visualisation

Texture-based visualization of metrics on software architectures (HB, ACT), pp. 205–206.

ICEIS-HCI-2008-ConciNPS #algorithm #detection

Comparing Color and Texture-Based Algorithms for Human Skin Detection (AC, EN, JJP, ÁS), pp. 166–173.

ICPR-2008-BaiPC

Relative advantage of touch over vision in the exploration of texture (YHB, CP, YC), pp. 1–4.

ICPR-2008-BattiatoPB #video

Regular texture removal for video stabilization (SB, GP, AB), pp. 1–4.

ICPR-2008-ChenZP #segmentation #using

Unsupervised dynamic texture segmentation using local spatiotemporal descriptors (JC, GZ, MP), pp. 1–4.

ICPR-2008-CheongL #approach #image #matrix #multi #orthogonal #recognition #using

An approach to texture-based image recognition by deconstructing multispectral co-occurrence matrices using Tchebichef orthogonal polynomials (MCYC, KSL), pp. 1–4.

ICPR-2008-DonoserB #matrix #segmentation #using

Using covariance matrices for unsupervised texture segmentation (MD, HB), pp. 1–4.

ICPR-2008-El-BazCGMSVM #3d #analysis #matter

Dyslexia diagnostics by 3D texture analysis of cerebral white matter gyrifications (AEB, MC, GLG, MM, AES, EV, RM), pp. 1–4.

ICPR-2008-HaindlM08a #benchmark #metric #segmentation

Texture segmentation benchmark (MH, SM), pp. 1–4.

ICPR-2008-HeAP

A Bayesian Local Binary Pattern texture descriptor (CH, TA, MP), pp. 1–4.

ICPR-2008-JiaDQA #3d #estimation #metric #using

Directionality measurement and illumination estimation of 3D surface textures by using mojette transform (PJ, JD, LQ, FA), pp. 1–4.

ICPR-2008-KangKNN #image #multi #recognition #segmentation #using

Multiband image segmentation and object recognition using texture filter banks (YK, KK, TN, YN), pp. 1–4.

ICPR-2008-LecellierFJRA #segmentation

Region-based active contours and sparse representations for texture segmentation (FL, JF, SJB, MR, GA), pp. 1–4.

ICPR-2008-LuCC #analysis #image #multi #recognition

Multilinear analysis based on image texture for face recognition (HL, HC, YWC), pp. 1–4.

ICPR-2008-MieziankoP #detection #multi

Detecting changes in multilayered orthoimages with spatiotemporal texture blocks (RM, DP), pp. 1–4.

ICPR-2008-MunizCR #classification #independence

Use of band ratioing for building illumination independent texture classification systems (RM, JAC, MRS), pp. 1–4.

ICPR-2008-OjansivuRH #analysis #invariant

Rotation invariant local phase quantization for blur insensitive texture analysis (VO, ER, JH), pp. 1–4.

ICPR-2008-SatoOKI #image #realtime

Real-time image-based rendering system for virtual city based on image compression technique and eigen texture method (RS, SO, HK, KI), pp. 1–4.

ICPR-2008-TarghiGZ #classification #image

Texture classification with minimal training images (ATT, JMG, AZ), pp. 1–4.

ICPR-2008-ThomeeHBL #retrieval #using

Using an artificial imagination for texture retrieval (BT, MJH, EMB, MSL), pp. 1–4.

ICPR-2008-Vega-PonsRV #algorithm #segmentation #set #using

Active contour algorithm for texture segmentation using a texture feature set (SVP, JLGR, OLV), pp. 1–4.

ICPR-2008-XiaDG #analysis #invariant

Locally invariant texture analysis from the topographic map (GSX, JD, YG), pp. 1–4.

ICPR-2008-ZhangGZ #detection #modelling

Complex background modeling and motion detection based on Texture Pattern Flow (BZ, YG, BZ), pp. 1–4.

SAC-2008-AvolaC #analysis #image

Encephalic NMR image analysis by textural interpretation (DA, LC), pp. 1338–1342.

SAC-2008-ZhangMD #feature model #fuzzy #image #retrieval #set #using

Texture feature extraction and description using fuzzy set of main dominant directions of variable scales in content-based medical image retrieval (GZ, ZMM, LD), pp. 1760–1761.

ICDAR-2007-GazzahA #analysis #identification #using

Arabic Handwriting Texture Analysis for Writer Identification Using the DWT-Lifting Scheme (SG, NEBA), pp. 1133–1137.

ICDAR-2007-LemaitreGP #2d #analysis #approach #layout #markov

Preliminary experiments in layout analysis of handwritten letters based on textural and spatial information and a 2D Markovian approach (ML, EG, FJP), pp. 1023–1027.

ICPR-v1-2006-HuYN #automation #generative

Automatic Pose Recovery for High-Quality Textures Generation (JH, SY, UN), pp. 561–565.

ICPR-v1-2006-LaggerF #multi #using

Using Specularities to Recover Multiple Light Sources in the Presence of Texture (PL, PF), pp. 587–590.

ICPR-v2-2006-ArivazhaganGK #classification #statistics #using

Texture classification using Curvelet Statistical and Co-occurrence Features (SA, LG, TGSK), pp. 938–941.

ICPR-v2-2006-ChenB #classification #invariant #using

Invariant Texture Classification Using Ridgelet Packets (GC, PB), pp. 464–467.

ICPR-v2-2006-ChenCC #comparison

A Comparison of Texture Features Based on SVM and SOM (CMC, CCC, CCC), pp. 630–633.

ICPR-v2-2006-ChenW #analysis #component #independence #segmentation #using

Texture Segmentation Using Independent Component Analysis of Gabor Features (YC, RW), pp. 147–150.

ICPR-v2-2006-DonateDR #classification

Classification of Textures Distorted by WaterWaves (AD, GD, ER), pp. 421–424.

ICPR-v2-2006-FloreaBRB #image #representation #using

Using texture-based symbolic features for medical image representation (FF, EB, AR, AB), pp. 946–949.

ICPR-v2-2006-GranaCPS #detection #network

Line Detection and Texture Characterization of Network Patterns (CG, RC, GP, SS), pp. 275–278.

ICPR-v2-2006-GrimHSP #approach #modelling #using

A Subspace Approach to Texture Modelling by Using Gaussian Mixtures (JG, MH, PS, PP), pp. 235–238.

ICPR-v2-2006-GuptaD #detection #multi #using

Texture Edge Detection using Multi-resolution Features and SOM (LG, SD), pp. 199–202.

ICPR-v2-2006-HaindlM #approach #modelling #multi #segmentation #using

Unsupervised Texture Segmentation Using Multispectral Modelling Approach (MH, SM), pp. 203–206.

ICPR-v2-2006-KimYL #estimation #image #interactive #modelling #parametricity #random #segmentation #using

New MRF Parameter Estimation Technique for Texture Image Segmentation using Hierarchical GMRF Model Based on Random Spatial Interaction and Mean Field Theory (DHK, IDY, SUL), pp. 365–368.

ICPR-v2-2006-Kittipanya-ngamC #performance

The effect of texture representations on AAM performance (PKn, TFC), pp. 328–331.

ICPR-v2-2006-LettnerS #recognition

Texture and Profile Features for Drawing Media Recognition in Underdrawings (ML, RS), pp. 308–311.

ICPR-v2-2006-LiA #estimation #predict

Texture-Constrained Shape Prediction for Mouth Contour Extraction and its State Estimation (ZL, HA), pp. 88–91.

ICPR-v2-2006-QinWHG #automation #classification

Unsupervised Texture Classification: Automatically Discover and Classify Texture Patterns (LQ, WW, QH, WG), pp. 433–436.

ICPR-v2-2006-SavelonasIM #algorithm #segmentation

An LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation (MAS, DKI, DEM), pp. 279–282.

ICPR-v2-2006-ScarpaH #clustering #independence #segmentation

Unsupervised Texture Segmentation by Spectral-Spatial-Independent Clustering (GS, MH), pp. 151–154.

ICPR-v2-2006-TsaiTCY #analysis #component #design #detection #fault #image #independence

Independent component analysis based filter design for defect detection in low-contrast textured images (DMT, YHT, SMC, CHY), pp. 231–234.

ICPR-v2-2006-ZhangPB #classification #learning #representation

Learning Optimal Filter Representation for Texture Classification (PZ, JP, BPB), pp. 1138–1141.

ICPR-v2-2006-ZhaoP #recognition

Local Binary Pattern Descriptors for Dynamic Texture Recognition (GZ, MP), pp. 211–214.

ICPR-v3-2006-HaindlV #invariant #retrieval

Illumination Invariant Texture Retrieval (MH, PV), pp. 276–279.

ICPR-v3-2006-SagirogluE #approach #assembly #automation

A Texture Based Matching Approach for Automated Assembly of Puzzles (MSS, AE), pp. 1036–1041.

ICPR-v3-2006-ZhangGL #automation #recognition #synthesis

Automatic Texture Synthesis for Face Recognition from Single Views (XZ, YG, MKHL), pp. 1151–1154.

ICPR-v4-2006-ChikkerurPJRB #locality #representation #using

Fingerprint Representation Using Localized Texture Features (SC, SP, AJ, NKR, RMB), pp. 521–524.

ICPR-v4-2006-FilipHC #performance #synthesis

Fast Synthesis of Dynamic Colour Textures (JF, MH, DC), pp. 25–28.

ICPR-v4-2006-HeYTWX #image #matrix #novel #retrieval #symmetry #using

Texture Image Retrieval Using Novel Non-separable Filter Banks Based on Centrally Symmetric Matrices (ZH, XY, YYT, PSPW, YX), pp. 161–164.

ICPR-v4-2006-OuyangFSC

Fingerprint Matching With Rotation-Descriptor Texture Features (ZO, JF, FS, AC), pp. 417–420.

ICPR-v4-2006-TodorovicA #3d #classification #segmentation #using

3D Texture Classification Using the Belief Net of a Segmentation Tree (ST, NA), pp. 33–36.

ICPR-v4-2006-XuC #classification #invariant #multi

Multiscale Blob Features for Gray Scale, Rotation and Spatial Scale Invariant Texture Classification (QX, YQC), pp. 29–32.

DRR-2005-MaD #identification #using

Font identification using the grating cell texture operator (HM, DSD), pp. 148–156.

VLDB-2005-ErcegovacDR #benchmark #metric #performance #query #relational

The TEXTURE Benchmark: Measuring Performance of Text Queries on a Relational DBMS (VE, DJD, RR), pp. 313–324.

ECIR-2005-Belkhatir #automation #image #retrieval #semantics #visual notation

Combining Visual Semantics and Texture Characterizations for Precision-Oriented Automatic Image Retrieval (MB), pp. 457–474.

MLDM-2005-LateckiMP #detection #process

Activity and Motion Detection Based on Measuring Texture Change (LJL, RM, DP), pp. 476–486.

CIAA-2004-EramianD #complexity #question

Does Hausdorff Dimension Measure Texture Complexity? (MGE, MD), pp. 317–318.

CHI-2004-LecuyerBE #interface #pseudo

Feeling bumps and holes without a haptic interface: the perception of pseudo-haptic textures (AL, JMB, LE), pp. 239–246.

ICPR-v1-2004-ChengLLC #classification #component #independence #kernel #using

Texture Classification Using Kernel Independent Component Analysi (JC, QL, HL, YWC), pp. 620–623.

ICPR-v1-2004-ClausiD #image #segmentation

Feature Fusion for Image Texture Segmentation (DAC, HD), pp. 580–583.

ICPR-v1-2004-ClausiY #comparison #markov #random #segmentation #using

Texture Segmentation Comparison Using Grey Level Co-Occurrence Probabilities and Markov Random Fields (DAC, BY), pp. 584–587.

ICPR-v1-2004-FilipH #bidirectional #synthesis

Non-linear Reflectance Model for Bidirectional Texture Function Synthesis (JF, MH), pp. 80–83.

ICPR-v1-2004-Horikawa #classification #comparison #invariant #kernel

Comparison of Support Vector Machines with Autocorrelation Kernels for Invariant Texture Classification (YH), pp. 660–663.

ICPR-v1-2004-KokareBC #image #retrieval

Rotated Complex Wavelet based Texture Features for Content Based Image Retrieval (MK, PKB, BNC), pp. 652–655.

ICPR-v1-2004-KusachiSIA #detection #image #recognition #robust

Kanji Recognition in Scene Images without Detection of Text Fields — Robust Against Variation of Viewpoint, Contrast, and Background Texture (YK, AS, NI, KA), pp. 457–460.

ICPR-v1-2004-NammalwarGW #integration #segmentation

Integration of Feature Distributions for Colour Texture Segmentation (PN, OG, PFW), pp. 716–719.

ICPR-v1-2004-Rivero-MorenoB #feature model

Texture Feature Extraction and Indexing by Hermite Filters (CJRM, SB), pp. 684–687.

ICPR-v1-2004-XuC #classification #statistics

Statistical Landscape Features for Texture Classification (CLX, YQC), pp. 676–679.

ICPR-v1-2004-Zwiggelaar #automation #matrix #segmentation

Texture Based Segmentation: Automatic Selection of Co-Occurrence Matrices (RZ), pp. 588–591.

ICPR-v2-2004-GimelfarbGZ #modelling #probability #question

To FRAME or not to FRAME in Probabilistic Texture Modelling? (GLG, LJVG, AZ), pp. 707–711.

ICPR-v2-2004-Hammoud #visual notation

Color Texture Signatures for Art-Paintings vs. Scene-Photographs Based on Human Visual System (RIH), pp. 525–528.

ICPR-v2-2004-SahaDC #metric #using

CBIR using Perception based Texture and Colour Measures (SKS, AKD, BC), pp. 985–988.

ICPR-v2-2004-SantamariaBS #analysis #statistics #using

Texture Analysis using Level-crossing Statistics (CS, MB, WS), pp. 712–715.

ICPR-v3-2004-HaindlGSPK

A Gaussian Mixture-Based Colour Texture Model (MH, JG, PS, PP, MK), pp. 177–180.

ICPR-v3-2004-YapCLHP #analysis #detection

Detecting Femur Fractures by Texture Analysis of Trabeculae (DWHY, YC, WKL, TSH, MAP), pp. 730–733.

ICPR-v4-2004-LiuWP #classification #composition #empirical

Texture Classification Through Directional Empirical Mode Decomposition (ZL, HW, SP), pp. 803–806.

ICPR-v4-2004-YangL #detection #multi

Multiple Pedestrian Detection and Tracking based on Weighted Temporal Texture Features (HDY, SWL), pp. 248–251.

DocEng-2003-ZhuN #encoding

Information encoding into and decoding from dot texture for active forms (BZ, MN), pp. 105–114.

ICDAR-2003-AllierDGME #logic

Texture Feature Characterization for Logical Pre-labeling (BA, JD, AG, PM, HE), pp. 567–571.

SAC-2003-YangH #classification #data flow #image #using

Image Texture Classification Using Datagrams and Characteristic Views (SY, CCH), pp. 22–26.

ICPR-v1-2002-CarcassoniRH #analysis #recognition

Texture Recognition through Modal Analysis of Spectral Peak Patterns (MC, ER, ERH), pp. 243–246.

ICPR-v1-2002-CostaGB #difference #statistics

Orientation Difference Statistics for Texture Description (JPDC, CG, PB), pp. 652–655.

ICPR-v1-2002-HaindlH #multi

A Multiscale Colour Texture Model (MH, VH), p. 255–?.

ICPR-v1-2002-HayashiYIK #estimation #gender #image

Age and Gender Estimation Based on Wrinkle Texture and Color of Facial Images (JiH, MY, HI, HK), pp. 405–408.

ICPR-v1-2002-KatoPQ #image #multi #segmentation

Multicue MRF Image Segmentation: Combining Texture and Color Features (ZK, TCP, SGQ), pp. 660–663.

ICPR-v1-2002-KovalevKC #3d #analysis #image #symmetry

Structural Brain Asymmetry as Revealed by 3D Texture Analysis of Anatomical MR Images (VAK, FK, DYvC), p. 808–?.

ICPR-v1-2002-LongL #hybrid #invariant

A Hybrid Model for Invariant and Perceptual Texture Mapping (HL, WKL), pp. 135–138.

ICPR-v1-2002-MaenpaaPV

Separating Color and Pattern Information for Color Texture Discrimination (TM, MP, JV), pp. 668–671.

ICPR-v1-2002-OjalaMPVKH #algorithm #analysis #empirical #evaluation #framework

Outex- New Framework for Empirical Evaluation of Texture Analysis Algorithms (TO, TM, MP, JV, JK, SH), pp. 701–706.

ICPR-v1-2002-RellierDZF #analysis

A Gauss-Markov Model for Hyperspectral Texture Analysis of Urban Areas (GR, XD, JZ, FF), pp. 692–695.

ICPR-v1-2002-SinghMS #analysis #dependence #image

Colour Image Texture Analysis: Dependence on Colour Spaces (MS, MM, SS), pp. 672–675.

ICPR-v1-2002-SinghS #analysis #case study #comparative

Spatial Texture Analysis: A Comparative Study (MS, SS), pp. 676–679.

ICPR-v1-2002-YuLC #multi #synthesis

Multiresolution Block Sampling-Based Method for Texture Synthesis (YY, JL, CWC), pp. 239–242.

ICPR-v2-2002-BhagavathyNM #image #modelling #using

Modeling Object Classes in Aerial Images Using Texture Motifs (SB, SN, BSM), pp. 981–984.

ICPR-v2-2002-IqbalA #evaluation #image #performance #retrieval

Combining Structure, Color and Texture for Image Retrieval: A Performance Evaluation (QI, JKA), pp. 438–443.

ICPR-v2-2002-LladoP

Classifying Textures when Seen from Different Distances (XL, MP), pp. 909–912.

ICPR-v2-2002-MaZ #representation #video

Motion Texture: A New Motion Based Video Representation (YFM, HZ), pp. 548–551.

ICPR-v2-2002-Okombi-DibaMS #image #segmentation

Segmentation of Spatially Variant Image Textures (BROD, JM, KS), pp. 917–920.

ICPR-v2-2002-PaclikDKK #image #segmentation

Supervised Segmentation of Textures in Backscatter Images (PP, RPWD, GMPvK, RK), pp. 490–493.

ICPR-v2-2002-PernerPM #classification

Texture Classification Based on the Boolean Model and its Application to Hep-2 Cells (PP, HP, BM), pp. 406–409.

ICPR-v2-2002-TweedM #analysis #automation #detection

Automatic Detection of Regions of Interest in Mammographies Based on a Combined Analysis of Texture and Histogram (TT, SM), pp. 448–452.

ICPR-v2-2002-UtsumiT #adaptation #statistics #using

Texture Adaptation for Human Tracking Using Statistical Shape Model (AU, NT), pp. 973–976.

ICPR-v2-2002-ZhangTM #invariant #segmentation

Invariant Texture Segmentation Via Circular Gabor Filters (JZ, TT, LM), pp. 901–904.

ICPR-v2-2002-ZollerHB #clustering #parametricity #segmentation

Combined Color And Texture Segmentation by Parametric Distributional Clustering (TZ, LH, JMB), pp. 627–630.

ICPR-v3-2002-ChenZL #analysis #component #detection #independence #segmentation

Edge Detection and Texture Segmentation Based on Independent Component Analysis (YWC, XYZ, HL), pp. 351–354.

ICPR-v3-2002-GarciaP #feature model #integration #multi #pattern matching #pattern recognition #recognition

Improving Texture Pattern Recognition by Integration of Multiple Texture Feature Extraction Methods (MAG, DP), pp. 7–10.

ICPR-v3-2002-KongZ #analysis #authentication #image

Palmprint Texture Analysis Based on Low-Resolution Images for Personal Authentication (AWKK, DZ), pp. 807–810.

ICPR-v4-2002-HoogsCK #3d #classification #metaprogramming #using

Classification of 3D Macro Texture Using Perceptual Observables (AH, RC, RK), pp. 113–117.

PADL-2002-Karczmarczuk #approach #functional #generative

Functional Approach to Texture Generation (JK), pp. 225–242.

DAC-2001-SolomonH #layout #using

Using Texture Mapping with Mipmapping to Render a VLSI Layout (JS, MH), pp. 500–505.

ICDAR-2001-SanchezL #graph grammar

A Graph Grammar to Recognize Textured Symbols (GS, JL), pp. 465–469.

ICPR-v1-2000-AllezardDJ #3d #modelling #recognition

Recognition of 3D Textured Objects by Mixing View-Based and Model-Based Representations (NA, MD, FJ), pp. 1960–1963.

ICPR-v1-2000-AwanzinoLDLV #locality

A Method Designed for Trihedron Localization in a Textured Environment (CA, JML, MD, LL, MV), pp. 1664–1667.

ICPR-v1-2000-KruizingaP #analysis

A Nonlinear Texture Operator Specialized in the Analysis of Dot-Patterns (PK, NP), pp. 1197–1201.

ICPR-v1-2000-RibeiroH

Texture Plane Orientation from Spectral Accumulation (ER, ERH), pp. 1802–1806.

ICPR-v1-2000-RibeiroWH

An Eigendecomposition Method for Shape-from-Texture (ER, PLW, ERH), pp. 1758–1761.

ICPR-v1-2000-RidderKLD #adaptation #segmentation

The Adaptive Subspace Map for Texture Segmentation (DdR, JK, OL, RPWD), pp. 1216–1220.

ICPR-v1-2000-RomdhaniPG #scalability

A Generic Face Appearance Model of Shape and Texture under Very Large Pose Variations from Profile to Profile Views (SR, AP, SG), pp. 5060–5063.

ICPR-v2-2000-BovisS #detection #using

Detection of Masses in Mammograms Using Texture Features (KB, SS), pp. 2267–2270.

ICPR-v2-2000-MetzlerAPL #classification #image #matrix #multi

Texture Classification of Graylevel Images by Multiscale Cross-Cooccurrence Matrices (VM, TA, CP, TML), pp. 2549–2552.

ICPR-v2-2000-NgB #classification #segmentation #using

Supervised Texture Segmentation using DWT and a Modified K-NN Classifier (BWN, AB), pp. 2545–2548.

ICPR-v3-2000-AbbadeniZW #visual notation

Autocovariance-based Perceptual Textural Features Corresponding to Human Visual Perception (NA, DZ, SW), pp. 3913–3916.

ICPR-v3-2000-AcharyyaK #segmentation #using

Two Texture Segmentation Using M-Band Wavelet Transform (MA, MKK), pp. 3405–3408.

ICPR-v3-2000-BouttePLC #adaptation

Texel Extraction on Inclined Textures by Adaptive Thresholding of Local Scales (LB, JP, SL, PC), pp. 3560–3563.

ICPR-v3-2000-CamilleriP #bound #refinement

Spectral Unmixing of Mixed Pixels for Texture Boundary Refinement (KPC, MP), pp. 7096–7099.

ICPR-v3-2000-ChantlerM #classification #invariant #on the

On the Use of Gradient Space Eigenvalues for Rotation Invariant Texture Classification (MJC, GM), pp. 3943–3946.

ICPR-v3-2000-ChantlerM00a

The Response of Texture Features to Illuminant Rotation (MJC, GM), pp. 3955–3958.

ICPR-v3-2000-ChetverikovF #classification #invariant

Affine-Invariant Texture Classification (DC, ZF), pp. 3901–3904.

ICPR-v3-2000-CostaBG #algorithm #feature model

Level Curve Tracking Algorithm for Textural Feature Extraction (JPDC, PB, CG), pp. 3921–3924.

ICPR-v3-2000-Garcia-SevillaP #analysis #case study #comparative

Analysis of Irregularly Shaped Texture Regions: A Comparative Study (PGS, MP), pp. 7080–7083.

ICPR-v3-2000-GermainCB #estimation #multi

Multiscale Estimation of Textural Features. Application to the Characterization of Texture Anisotropy (CG, JPDC, PB), pp. 3935–3938.

ICPR-v3-2000-GrigorescuP #graph

Graph-Based Features for Texture Discrimination (CG, NP), pp. 7088–7091.

ICPR-v3-2000-GrigorescuPK #case study #comparative #distance #using

A Comparative Study of Filter Based Texture Operators Using Mahalanobis Distance (SEG, NP, PK), pp. 3897–3900.

ICPR-v3-2000-HuangCH #adaptation #classification

An Adaptive Model for Texture Classification (YH, KLC, ZH), pp. 3905–3908.

ICPR-v3-2000-HuangCH00a #2d #analysis #pseudo

Local Spectra Features Extraction Based-On 2D Pseudo-Wigner Distribution for Texture Analysis (ZH, KLC, YH), pp. 3925–3928.

ICPR-v3-2000-KobayakwaHO #correlation #image #retrieval #robust #using

Robust Texture Image Retrieval Using Hierarchical Correlations of Wavelet Coefficients (MK, MH, TO), pp. 3395–3400.

ICPR-v3-2000-KobayashiK #comprehension #multi

Multi Contrast Based Texture Model for Understanding Human Subjectivity (YK, TK), pp. 3929–3934.

ICPR-v3-2000-Levienaise-ObadiaKC #retrieval #similarity

Defining Quantization Strategies and a Perceptual Similarity Measure for Texture-Based Annotation and Retrieval (BLO, JK, WJC), pp. 3453–3457.

ICPR-v3-2000-LiapisST #algorithm #performance #segmentation #using

Color and/or Texture Segmentation Using Deterministic Relaxation and Fast Marching Algorithms (SL, ES, GT), pp. 3621–3624.

ICPR-v3-2000-LimiaNF #3d #segmentation

Texture Segmentation of a 3D Seismic Section with Wavelet Transform and Gabor Filters (MFL, AMN, MTF), pp. 3358–3361.

ICPR-v3-2000-MaenpaaOPM #classification #robust #set

Robust Texture Classification by Subsets of Local Binary Patterns (TM, TO, MP, MS), pp. 3947–3950.

ICPR-v3-2000-MaenpaaPO #classification #multi

Texture Classification by Multi-Predicate Local Binary Pattern Operators (TM, MP, TO), pp. 3951–3954.

ICPR-v3-2000-Manduchi #clustering #segmentation

A Cluster Grouping Technique for Texture Segmentation (RM), pp. 7072–7075.

ICPR-v3-2000-MiyagawaFA #modelling #using

Texture Modeling by Optimal Gray Scale Structuring Elements Using Morphological Pattern Spectrum (MM, MF, AA), pp. 3479–3482.

ICPR-v3-2000-PetrosinoC #clustering #fuzzy #parallel #set

Unsupervised Texture Discrimination Based on Rough Fuzzy Sets and Parallel Hierarchical Clustering (AP, MC), pp. 7100–7103.

ICPR-v3-2000-RittscherS #bound #detection

An Integral Criterion for Detecting Boundary Edges and Textured Regions (JR, JS), pp. 7076–7079.

ICPR-v3-2000-Ruiz-del-SolarK #architecture #segmentation

Neural-Based Architectures for the Segmentation of Textures (JRdS, DK), pp. 7092–7095.

ICPR-v3-2000-Ruiz-del-SolarS #framework

Bio-Inspired Framework for the Fusion of Chromatic, Infrared and Textural Information (JRdS, ASF), pp. 3576–3579.

ICPR-v3-2000-SebeL00a #classification

Wavelet Based Texture Classification (NS, MSL), pp. 3959–3962.

ICPR-v3-2000-UchiyamaMK #estimation #image #segmentation

Estimation of Homogeneous Regions for Segmentation of Textured Images (TU, NM, HK), pp. 7084–7087.

ICPR-v3-2000-ValdesME #analysis #behaviour #case study #image

Behavior Analysis of Fractal Features for Texture Description in Digital Images: An Experimental Study (JJV, LCM, SE), pp. 3917–3920.

ICPR-v3-2000-VandenbrouckeMP #classification #image #segmentation

Color Image Segmentation by Supervised Pixel Classification in a Color Texture Feature Space: Application to Soccer Image Segmentation (NV, LM, JGP), pp. 3625–3628.

ICPR-v3-2000-VertanB #classification #normalisation #representation

Color Texture Classification by Normalized Color Space Representation (CV, NB), pp. 3584–3587.

ICPR-v4-2000-PatriceK #feedback #image #query #retrieval #similarity

Texture Similarity Queries and Relevance Feedback for Image Retrieval (BP, HK), pp. 4055–4058.

ICPR-v4-2000-WolfKBJ #image #retrieval #using

Content Based Image Retrieval Using Interest Points and Texture Features (CW, WGK, HB, JMJ), pp. 4234–4237.

ICPR-v4-2000-XuGMC #analysis #performance #retrieval

Performance Analysis in Content-Based Retrieval with Textures (KX, BG, PM, DC), pp. 4275–4278.

HPCA-2000-VartanianBD #3d #parallel

The Best Distribution for a Parallel OpenGL 3D Engine with Texture Caches (AV, JLB, NDT), pp. 399–408.

DAC-1999-NachtergaeleVPLBB #implementation #scalability #visual notation

Implementation of a Scalable MPEG-4 Wavelet-Based Visual Texture Compression System (LN, BV, MP, GL, JB, IB), pp. 333–336.

ICDAR-1999-ZhuTW #analysis #recognition

Font Recognition based on Global Texture Analysis (YZ, TT, YW), pp. 349–352.

ICPR-1998-Aviles-Cruz #algorithm #data fusion #probability #segmentation #using

Unsupervised texture segmentation using stochastic version of the EM algorithm and data fusion (CAC), pp. 1005–1009.

ICPR-1998-Garcia-SevillaP #analysis #image

The use of Boolean model for texture analysis of grey images (PGS, MP), pp. 811–813.

ICPR-1998-GoktepeAYY #image #markov #modelling #random #segmentation #using

Unsupervised texture based image segmentation by simulated annealing using Markov random field and Potts models (MG, VA, NY, CY), pp. 820–822.

ICPR-1998-HepplewhiteS #fuzzy #image #representation

Image representation, texture and the fuzzy n-tuple (LH, TJS), pp. 1028–1030.

ICPR-1998-IivarinenV #adaptation #classification #fault

An adaptive texture and shape based defect classification (JI, AV), pp. 117–122.

ICPR-1998-KruizingaP #segmentation

Grating cell operator features for oriented texture segmentation (PK, NP), pp. 1010–1014.

ICPR-1998-LuC #segmentation

Wold features for unsupervised texture segmentation (CSL, PCC), pp. 1689–1693.

ICPR-1998-OjalaP #multi #parametricity

Nonparametric multichannel texture description with simple spatial operators (TO, MP), pp. 1052–1056.

ICPR-1998-OtsukaHSF #feature model

Feature extraction of temporal texture based on spatiotemporal motion trajectory (KO, TH, SS, MF), pp. 1047–1051.

ICPR-1998-OzdemirBMEE #algorithm #analysis #comparative #evaluation #fault

Comparative evaluation of texture analysis algorithms for defect inspection of textile products (SÖ, AB, RM, AE, AE), pp. 1738–1740.

ICPR-1998-PagetL #markov #multi #parametricity #random #recognition #synthesis

Texture synthesis and unsupervised recognition with a nonparametric multiscale Markov random field model (RP, DL), pp. 1068–1070.

ICPR-1998-SmithL #segmentation #using

Texture segmentation using zero crossings information (GS, DL), pp. 262–264.

ICPR-1998-TsengTL #image #multi #segmentation

Unsupervised texture segmentation for multispectral remote-sensing images (DCT, HMT, CCL), pp. 1630–1632.

ICPR-1998-ValkealahtiO #multi

Reduced multidimensional histograms in color texture description (KV, EO), pp. 1057–1061.

ICPR-1998-WangLL #classification #composition #markov #modelling #random #using

Texture classification using wavelet decomposition with Markov random field models (LW, JL, SZL), pp. 1613–1615.

ICPR-1998-WouwerSD #invariant #using

Rotation-invariant texture characterization using isotropic wavelet frames (GVdW, PS, DVD), pp. 814–816.

ICPR-1998-YangX #image #retrieval #scalability

Scaling laws in image gradient fields and texture retrieval (ZY, JX), pp. 1062–1064.

ICPR-1998-YogesanEB #analysis #image

Texture analysis of retinal images to determine nerve fibre loss (KY, RHE, CJB), pp. 1665–1667.

ICDAR-1997-CullenHH #analysis #database #documentation #image #retrieval #using

Document image database retrieval and browsing using texture analysis (JFC, JJH, PEH), pp. 718–721.

ICDAR-1997-Soffer #categorisation #image #using

Image Categorization Using Texture Features (AS), pp. 233–237.

HCI-SEC-1997-IkeiWF

Texture Display for Tactile Sensation (YI, KW, SF), pp. 961–964.

ICPR-1996-BelloK #analysis #using

Co-occurrence-based texture analysis using irregular tessellations (FB, RIK), pp. 780–784.

ICPR-1996-BhattacharyaCP #segmentation #set

An MLP-based texture segmentation technique which does not require a feature set (UB, BBC, SKP), pp. 805–809.

ICPR-1996-BrancaTAD #composition #detection

Directionality detection in compositional textures (AB, MT, GA, AD), pp. 830–834.

ICPR-1996-CarevicC #adaptation #segmentation

Adaptive Gabor filters for texture segmentation (DC, TC), pp. 606–610.

ICPR-1996-Chetverikov #algorithm #interactive #performance

Structural filtering with texture feature-based interaction maps: fast algorithm and applications (DC), pp. 795–799.

ICPR-1996-ChetverikovLKH #classification #using

Zone classification using texture features (DC, JL, JK, RMH), pp. 676–680.

ICPR-1996-CohenDE #classification #image

Computerized classification of color textured perthite images (BC, ID, ME), pp. 601–605.

ICPR-1996-DelagnesB #graph #image #markov #random

Rectilinear structure extraction in textured images with an irregular, graph-based Markov random field model (PD, DB), pp. 800–804.

ICPR-1996-Gimelfarb #interactive #multi

Non-Markov Gibbs texture model with multiple pairwise pixel interactions (GLG), pp. 591–595.

ICPR-1996-Gimelfarb96a #modelling #segmentation #simulation

Gibbs models for Bayesian simulation and segmentation of piecewise-uniform textures (GLG), pp. 760–764.

ICPR-1996-GoktepeYA #markov #segmentation

Unsupervised segmentation of gray level Markov model textures with hierarchical self organizing maps (MG, NY, VA), pp. 90–94.

ICPR-1996-GonzalezC #classification #functional #markov #random

The Markov random fields in functional neighbors as a texture model: applications in texture classification (AMG, DC), pp. 815–819.

ICPR-1996-Hauta-KasariPJL #analysis #matrix #multi

Generalized co-occurrence matrix for multispectral texture analysis (MHK, JP, TJ, RL), pp. 785–789.

ICPR-1996-HepplewhiteS #classification #pattern matching #pattern recognition #recognition #using

Texture classification using n-tuple pattern recognition (LH, TJS), pp. 159–163.

ICPR-1996-HepplewhiteS96a #segmentation

Unsupervised texture segmentation by Hebbian learnt cortical cells (LH, TJS), pp. 381–385.

ICPR-1996-KaruJB #image #question

Is there any texture in the image? (KK, AKJ, RMB), pp. 770–774.

ICPR-1996-LiuL #approach #classification #effectiveness #performance #using

An efficient and effective texture classification approach using a new notion in wavelet theory (JFL, JCML), pp. 820–824.

ICPR-1996-Matalas #approximate #image #multi #set

A new set of multiscale texture features based on B-spline image approximation (IM), pp. 810–814.

ICPR-1996-NodaSK #image #modelling #segmentation

An MRF model-based method for unsupervised textured image segmentation (HN, MNS, EK), pp. 765–769.

ICPR-1996-SerraS #image #network #using

Perceptual grouping on texture images using non-cartesian networks (JRS, JBSV), pp. 462–466.

ICPR-1996-Sinclair96a #analysis #clustering

Cluster-based texture analysis (DS), pp. 825–829.

ICPR-1996-Solberg #analysis #classification #flexibility

Texture fusion and classification based on flexible discriminant analysis (AHSS), pp. 596–600.

ICPR-1996-WalkerJ #analysis #geometry #statistics

Statistical geometric features-extensions for cytological texture analysis (RFW, PTJ), pp. 790–794.

ICDAR-v2-1995-WangHR #recognition #segmentation

A shape band-pass filter for character recognition and texture segmentation (DW, VHC, JR), pp. 681–684.

ICDAR-1993-JainC #analysis #locality #using

Bar code localization using texture analysis (AKJ, YC), pp. 41–44.

CHI-1992-WareK #visual notation

Orderable Dimensions of Visual Texture for Data Display: Orientation, Size and Contrast (CW, WK), pp. 203–209.

ML-1991-PachowiczB #concept #effectiveness #recognition

Improving Recognition Effectiveness of Noisy Texture Concepts (PP, JWB), pp. 625–629.

SIGMOD-1985-KamelK #analysis

A Model of Data Distribution Based on Texture Analysis (NK, RK), pp. 319–325.