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Title:      SUBSPACE ORTHOGONAL PROJECTION FOR TEXTURE SEGMENTATION WITH WAVELET FRAMES
Author(s):      Mahmoud K. Quweider
ISBN:      978-972-8924-63-8
Editors:      Hans Weghorn and Ajith P. Abraham
Year:      2008
Edition:      Single
Keywords:      Texture Segmentation, Subspace Orthogonal Projection
Type:      Full Paper
First Page:      27
Last Page:      34
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      We propose a new supervised texture segmentation and classification technique based on combining features extracted from the discrete wavelet frames of an image (specifically, the detail images at multiple resolutions) with a nonlinear band generation algorithm and an orthogonal subspace projection operator (OSP). As a supervised technique, the algorithm needs apriori information about the number and location of textures present in the composite texture training images. The OSP operator role is twofold: to extract a set of texture signature vectors each uniquely characterizing only one texture; after that, the texture segmentation process commences and the signature vectors are used to identify/mark textures in new images, essentially a pixel labeling process with all pixels of one texture having the same label. The simulation results show satisfactory classification and segmentation on a set of composite texture images while having good real time performance and moderate storage and computational requirements.
   

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