Texture representation based on pattern map

Authors:
Xiang-Yan Zeng;Yen-Wei Chen;Zensho Nakao;Hanqing Lu
Affiliations:
Faculty of Engineering, University of the Ryukyus, Department of Electrical and Electronics Engineering, 1 Senbaru, Nishihara, Nokagami, Okinawa 903-0213, Japan;Fac. of Eng., Univ. of the Ryukyus, Dept. of Elec. and Electronics Eng., 1 Senbaru, Nishihara, Nokagami, Okinawa 903-0213, Japan and Inst. for Computl. Sci. and Eng., Ocean Univ. of Qingdao, Shang ...;Faculty of Engineering, University of the Ryukyus, Department of Electrical and Electronics Engineering, 1 Senbaru, Nishihara, Nokagami, Okinawa 903-0213, Japan;National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing 2772, China
Venue:
Signal Processing
Year:
2004

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Abstract

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.