Texture representation based on pattern map

We propose a pixel-pattern-based texture feature (PPBTF) which is insensitive to variance of illumination. A gray scale image is transformed into a pattern map where edges and lines (bars) to be used for characterizing the texture information are classified by pattern matching. Based on the pattern...

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Bibliographic Details
Published in:Signal processing 2004-03, Vol.84 (3), p.589-599
Main Authors: Zeng, Xiang-Yan, Chen, Yen-Wei, Nakao, Zensho, Lu, Hanqing
Format: Article
Language:English
Subjects:
Applied sciences
Exact sciences and technology
Image processing
Information, signal and communications theory
Pattern map
Pixel pattern
Principal component analysis
Signal processing
Telecommunications and information theory
Texture feature
Texture segmentation
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Summary:We propose a pixel-pattern-based texture feature (PPBTF) which is insensitive to variance of illumination. A gray scale image is transformed into a pattern map where edges and lines (bars) to be used for characterizing the texture information are classified by pattern matching. Based on the pattern map, a feature vector is comprised of the numbers of the pixels belonging to each pattern. We use the image basis functions obtained by principal component analysis as the templates for pattern matching. The characteristics of the feature is comprehensively analyzed through an application to texture image segmentation. Comparisons with multichannel filtering methods show that PPBTF feature is quite time saving and free of the influence of illumination.
ISSN:0165-1684
1872-7557
DOI:10.1016/j.sigpro.2003.11.021