8.8.1 Texture Segmentation Using Filters

Chapter Contents (Back)
Segmentation, Texture. Filters, Texture. See also Filter Approaches to Texture.

Clark, M.[Marianna], Bovik, A.C.[Alan C.],
Experiments in Segmenting Texton Patterns Using Localized Spatial Filters,
PR(22), No. 6, 1989, pp. 707-717.
WWW Link. See also Multichannel Texture Analysis Using Localized Spatial Filters. BibRef 8900

Laws, K.I.,
Textured Image Segmentation,
USC_ISG-TR-IPI-940, January 1980. BibRef 8001 Ph.D.Thesis (EE). BibRef USC Computer VisionTexture description and segmentation using energy measures. BibRef

Yu, X.H.[Xiao-Han], Ylä-Jääski, J.[Juha], Yuan, B.Z.[Bao-Zong],
A new algorithm for texture segmentation based on edge detection,
PR(24), No. 11, 1991, pp. 1105-1112.
WWW Link. 0401
BibRef
And: A1, A2, Only:
Unsupervised texture segmentation based on the modified Markov random field model,
ICPR92(III:88-91).
IEEE DOI 9208
BibRef

Randen, T.[Trygve], and Husøy, J.H.[John Håkon],
Multichannel filtering for image texture segmentation,
OptEng(33), No. 8, August 1994, pp. 2617-2625.
HTML Version. BibRef 9408
And:
Optimal texture filtering,
ICIP95(I: 374-377).
IEEE DOI 9510
BibRef
And:
Novel Approaches to Multichannel Filtering for image texture segmentation,
SPIE(2094), November 1993, pp. 626-636.
HTML Version. See also Least squares image texture analysis and synthesis. BibRef

Husøy, J.H.[John Håkon], Randen, T.[Trygve], and Gulsrud, T.O.[Thor Ole],
Image Texture Classification with Digital Filter Banks and Transforms,
SPIE(2028), July 1993, pp. 260-271.
HTML Version. BibRef 9307

Randen, T.[Trygve], and Husøy, J.H.[John Håkon],
Texture Segmentation with Optimal Linear Prediction Error Filters,
Piksel'nno. 3, September 1994, pp. 25-28.
HTML Version. BibRef 9409

Randen, T.[Trygve], and Husøy, J.H.[John Håkon],
Filter Banks for Texture Segmentation,
Piksel'nNo. 3, September 1993, pp. 22-29.
HTML Version. BibRef 9309

Randen, T., Husøy, J.H.,
Texture Segmentation Using Filters with Optimized Energy Separation,
IP(8), No. 4, April 1999, pp. 571-582.
IEEE DOI BibRef 9904
Earlier:
Optimal Filter-Bank Design for Multiple Texture Discrimination,
ICIP97(II: 215-218).
IEEE DOI BibRef

Panda, R., Chatterji, B.N.,
Unsupervised Texture Segmentation Using Tuned Filters in Gaborian Space,
PRL(18), No. 5, May 1997, pp. 445-453. 9708
BibRef

Bashar, M.K., Matsumoto, T., Ohnishi, N.,
Wavelet transform-based locally orderless images for texture segmentation,
PRL(24), No. 15, November 2003, pp. 2633-2650.
WWW Link. 0308
BibRef

Farhadi, A.[Ali], Shahshahani, M.[Mehrdad],
Image segmentation via local higher order statistics,
IJIST(13), No. 4, 2003, pp. 215-223.
DOI Link 0312
BibRef

Xiang, S.M.[Shi-Ming], Nie, F.P.[Fei-Ping], Zhang, C.S.[Chang-Shui],
Interactive Natural Image Segmentation via Spline Regression,
IP(18), No. 7, July 2009, pp. 1623-1632.
IEEE DOI 0906
BibRef
Earlier:
Texture Image Segmentation: An Interactive Framework Based on Adaptive Features and Transductive Learning,
ACCV06(I:216-225).
Springer DOI 0601
BibRef

Xiang, S.M.[Shi-Ming], Nie, F.P.[Fei-Ping], Zhang, C.S.[Chang-Shui],
Semi-Supervised Classification via Local Spline Regression,
PAMI(32), No. 11, November 2010, pp. 2039-2053.
IEEE DOI 1011
BibRef

Xiang, S.M.[Shi-Ming], Pan, C., Nie, F.P.[Fei-Ping], Zhang, C.S.[Chang-Shui],
TurboPixel Segmentation Using Eigen-Images,
IP(19), No. 11, November 2010, pp. 3024-3034.
IEEE DOI 1011
BibRef

Xiang, S.M.[Shi-Ming], Pan, C., Nie, F.P.[Fei-Ping], Zhang, C.S.[Chang-Shui],
Interactive Image Segmentation With Multiple Linear Reconstructions in Windows,
MultMed(13), No. 2, 2011, pp. 342-352.
IEEE DOI 1103
BibRef

He, X.Y.[Xi-Yan], Beauseroy, P.[Pierre], Smolarz, A.[Andre],
Nearest-neighbour ensembles in lasso feature subspaces,
IET-CV(4), No. 4, December 2010, pp. 306-319.
DOI Link 1011
BibRef
Earlier:
Feature subspaces selection via one-class SVM: Application to textured image segmentation,
IPTA10(21-25).
IEEE DOI 1007
BibRef
Earlier:
Random feature subset selection in a nonstationary environment: Application to textured image segmentation,
ICIP08(3028-3031).
IEEE DOI 0810
BibRef

Mignotte, M.[Max],
A de-texturing and spatially constrained K-means approach for image segmentation,
PRL(32), No. 2, 15 January 2011, pp. 359-367.
Elsevier DOI 1101
Unsupervised segmentation; De-texturing; Spatially constrained K-means; Berkeley image database BibRef

Mignotte, M.[Max],
An Energy-Based Model for the Image Edge-Histogram Specification Problem,
IP(21), No. 1, January 2012, pp. 379-386.
IEEE DOI 1112
See also Label Field Fusion Bayesian Model and Its Penalized Maximum Rand Estimator for Image Segmentation, A. See also Multiresolution Markovian Fusion Model for the Color Visualization of Hyperspectral Images, A. BibRef

Xu, T.[Tao], Gondra, I.[Iker],
A simple and effective texture characterization for image segmentation,
SIViP(6), No. 2, June 2012, pp. 231-245.
WWW Link. 1205
BibRef

Rahman, M.M.[Md. Mahbubur], Horiguchi, S.[Susumu],
A fully unsupervised color textured image segmentation algorithm using weighted mean histograms features,
SIViP(6), No. 2, June 2012, pp. 197-209.
WWW Link. 1205
BibRef

Ahn, S., Chong, J.,
Segmenting a Noisy Low-Depth-of-Field Image Using Adaptive Second-Order Statistics,
SPLetters(22), No. 3, March 2015, pp. 275-278.
IEEE DOI 1410
Filtering BibRef

Bach, F.[Francis], Mairal, J.[Julien], Ponce, J.[Jean],
Sparse Modeling for Image and Vision Processing,
FTCGV(8), No. 2-3, 2014, pp. 85-283.
DOI Link 1412
BibRef

Benoit, L.[Louise], Mairal, J.[Julien], Bach, F.[Francis], Ponce, J.[Jean],
Sparse image representation with epitomes,
CVPR11(2913-2920).
IEEE DOI 1106
BibRef

Mairal, J.[Julien], Bach, F.[Francis], Ponce, J.[Jean], Sapiro, G.[Guillermo], Zisserman, A.[Andrew],
Non-local sparse models for image restoration,
ICCV09(2272-2279).
IEEE DOI 0909
BibRef
And:
Discriminative learned dictionaries for local image analysis,
CVPR08(1-8).
IEEE DOI 0806
Texture segmentation then categorization. See also Sparse Representation for Color Image Restoration. BibRef


Cheng, B.[Bin], Liu, G.C.[Guang-Can], Wang, J.D.[Jing-Dong], Huang, Z.Y.[Zhong-Yang], Yan, S.C.[Shui-Cheng],
Multi-task low-rank affinity pursuit for image segmentation,
ICCV11(2439-2446).
IEEE DOI 1201
Fusion of multiple image features. BibRef

Tivive, F.H.C.[Fok Hing Chi], Bouzerdoum, A.[Abdesselam],
A Nonlinear Feature Extractor for Texture Segmentation,
ICIP07(II: 37-40).
IEEE DOI 0709
BibRef

di Lillo, A.[Antonella], Motta, G.[Giovanni], Storer, J.A.[James A.],
Texture Classification Based on Discriminative Features Extracted in the Frequency Domain,
ICIP07(II: 53-56).
IEEE DOI 0709
BibRef
And:
Supervised Segmentation Based on Texture Signatures Extracted in the Frequency Domain,
IbPRIA07(I: 89-96).
Springer DOI 0706
BibRef

Sun, Q.A.[Qi-Ang], Hou, B.[Biao], Jiao, L.C.[Li-Cheng],
A New Wavelet-Domain HMTseg Algorithm for Remotely Sensed Image Segmentation,
CIAP05(367-374).
Springer DOI 0509
BibRef

Lin, Y.Z.[Ya-Zhong], Chen, W.F.[Wu-Fan], Chan, F.H.Y.,
Multi-class segmentation based on generalized fuzzy gibbs random fields,
ICIP03(II: 399-402).
IEEE DOI 0312
BibRef

Liu, G., Oe, S.,
Texture Image Segmentation Using Wavelet Filters and Cellular Neural Network,
MVA98(xx-yy). BibRef 9800

Zhou, Y.[Yan], Longbotham, H.,
Texture segmentation by symmetric and asymmetric filters,
ICIP94(II: 630-634).
IEEE DOI 9411
BibRef

Ravichandran, G., Trivedi, M.M.,
Texture segmentation using circular-Mellin operators,
ICIP94(II: 635-639).
IEEE DOI 9411
BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Texture Boundaries and Edges .


Last update:Sep 25, 2017 at 16:36:46