Adaptive approach for texture segmentation by multichannel wavelet frames

We introduce an adaptive approach for texture feature extraction based on multi-channel wavelet frames and 2D envelope detection. Representations obtained from both standard wavelets and wavelet packets are evaluated for reliable texture segmentation. Algorithms for envelope detection based on edge detection and the Hilbert transform are presented. Analytic filters are selected for each technique based on performance evaluation. A K-means clustering algorithm was used to test the performance of each representation feature set. Experimental results for both natural textures and synthetic textures are shown.

[1]  C. W. Therrien,et al.  Decision, Estimation and Classification: An Introduction to Pattern Recognition and Related Topics , 1989 .

[2]  K. Laws.  Textured Image Segmentation , 1980 .

[3]  Stéphane Mallat,et al.  Characterization of Signals from Multiscale Edges , 2011, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Michael Unser,et al.  On the asymptotic convergence of B-spline wavelets to Gabor functions , 1992, IEEE Trans. Inf. Theory.

[5]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  M. Unser.  Local linear transforms for texture measurements , 1986 .

[7]  Ronald R. Coifman,et al.  Entropy-based algorithms for best basis selection , 1992, IEEE Trans. Inf. Theory.

[8]  Theodosios Pavlidis,et al.  Segmentation by Texture Using Correlation , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Chee Sun Won,et al.  A parallel image segmentation algorithm using relaxation with varying neighborhoods and its mapping to array processors , 1987, Computer Vision Graphics and Image Processing.

[10]  Kannan,et al.  ON IMAGE SEGMENTATION TECHNIQUES , 2022 .

[11]  Alexander A. Sawchuk,et al.  Supervised Textured Image Segmentation Using Feature Smoothing and Probabilistic Relaxation Techniques , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Phil Brodatz,et al.  Textures: A Photographic Album for Artists and Designers , 1966 .

[13]  David B. Cooper,et al.  Simple Parallel Hierarchical and Relaxation Algorithms for Segmenting Noncausal Markovian Random Fields , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[15]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[17]  I. Daubechies.  Orthonormal bases of compactly supported wavelets , 1988 .

[18]  Michael Spann,et al.  Image Segmentation and Uncertainty , 1987 .

[19]  Harry Wechsler,et al.  Segmentation of Textured Images and Gestalt Organization Using Spatial/Spatial-Frequency Representations , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  Roland Wilson,et al.  The Uncertainty Principle in Image Processing , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[21]  Charles W. Therrien,et al.  An estimation-theoretic approach to terrain image segmentation , 1983, Comput. Vis. Graph. Image Process..

[22]  M. Wickerhauser.  Acoustic signal compression with wavelet packets , 1993 .

[23]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[24]  Rama Chellappa,et al.  Stochastic and deterministic networks for texture segmentation , 1990, IEEE Trans. Acoust. Speech Signal Process..

[25]  Michael Spann,et al.  Texture feature performance for image segmentation , 1990, Pattern Recognit..

[26]  Stéphane Mallat,et al.  Multifrequency channel decompositions of images and wavelet models , 1989, IEEE Trans. Acoust. Speech Signal Process..

[27]  Hans Knutsson,et al.  Texture Analysis Using Two-Dimensional Quadrature Filters , 1983 .

[28]  Alfredo Restrepo,et al.  Localized measurement of emergent image frequencies by Gabor wavelets , 1992, IEEE Trans. Inf. Theory.

[29]  Ruzena Bajcsy,et al.  Computer Description of Textured Surfaces , 1973, IJCAI.

[30]  Alan C. Bovik,et al.  Analysis of multichannel narrow-band filters for image texture segmentation , 1991, IEEE Trans. Signal Process..