Journal
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
Volume 17, Issue 5, Pages 1004-1023Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jvcir.2006.02.001
Keywords
classification; texture; geometrical image; decomposition; logic model; level-set; active contour; PDE; wavelets
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In this paper, we propose a framework to carry out supervised classification of images containing both textured and non textured areas. Our approach is based on active contours. Using a decomposition algorithm inspired by the recent work of Y. Meyer, we can get two channels from the original image to classify: one containing the geometrical information, and the other the texture. Using the logic framework by Chan and Sandberg, we can then combine the information from both channels in a user definable way. Thus, we design a classification algorithm in which the different classes are characterized both from geometrical and textured features. Since natural images are combinations of both textured and non textured patterns, this integrative approach enlarges the scope of possible applications for active contours-based classification algorithms. (c) 2006 Elsevier Inc. All rights reserved.
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