UNSPECIFIED (2000) A multiresolution texture gradient method for unsupervised segmentation. PATTERN RECOGNITION, 33 (11). pp. 1819-1833. ISSN 0031-3203

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Abstract

A texture segmentation algorithm is described, which is designed using a cooperative algorithm within the Multiresolution Fourier Transform (MFT) (Wilson et al., IEEE Trans. Inform. Theory 38(2) (1992) 674-690) framework. The magnitude spectrum of the MFT is employed as feature space wherein the detection of texture boundaries is estimated by means of the combination of boundary information and region properties. A pre-smoothing process is first applied to the MFT magnitudes to reduce the texture fluctuations followed by Sobel operator performed on the MFT magnitudes to give a texture boundary estimate. The refinement of the boundary estimate is accomplished by utilizing both boundary link probabilities and region link probability in an iterative manner. Results on a number of synthetic and natural textures that illustrate the effectiveness of the scheme are presented. (C) 2000 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering
Journal or Publication Title:	PATTERN RECOGNITION
Publisher:	PERGAMON-ELSEVIER SCIENCE LTD
ISSN:	0031-3203
Date:	November 2000
Volume:	33
Number:	11
Number of Pages:	15
Page Range:	pp. 1819-1833
Publication Status:	Published
URI:	http://wrap.warwick.ac.uk/id/eprint/13037

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