UNSPECIFIED. (2006) Adaptive scale fixing for multiscale texture segmentation. IEEE TRANSACTIONS ON IMAGE PROCESSING, 15 (1). pp. 249-256. ISSN 1057-7149

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Abstract

This paper addresses two challenging issues in unsupervised multiscale texture segmentation: determining adequate spatial and feature resolutions for different regions of the image, and utilizing information across different scales/resolutions. The center of a homogeneous texture is analyzed using coarse spatial resolution, and its border is detected using fine spatial resolution so as to locate the boundary accurately. The extraction of texture features is achieved via a multiresolution pyramid. The feature values are integrated across scales/resolutions adaptively. The number of textures is determined automatically using the variance ratio criterion. Experimental results on synthetic and real images demonstrate the improvement in performance of the proposed multiscale scheme over single scale approaches.

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:	IEEE TRANSACTIONS ON IMAGE PROCESSING
Publisher:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
ISSN:	1057-7149
Date:	January 2006
Volume:	15
Number:	1
Number of Pages:	8
Page Range:	pp. 249-256
Identification Number:	10.1109/TIP.2005.860340
Publication Status:	Published
URI:	http://wrap.warwick.ac.uk/id/eprint/34087

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