Texture classification based on the fractal performance of the moment feature images

Authors:
Guitao Cao;Pengfei Shi;Bing Hu
Affiliations:
Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China;Department of Ultrasound in Medicine, Shanghai Sixth Hospital, Shanghai Jiaotong University, Shanghai, China
Venue:
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Year:
2005

Citing 6
Cited 1

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Abstract

Texture classification plays an important role in identifying objects. The fractal properties based on moment feature images for texture classification are investigated in this paper. The two-order moments of the image in small windows are used as feature images whose fractal dimensions are then computed and employed to classify the textures using support vector machines (SVMs). Experiments on several Brodatz nature images and four in-vivo B-mode ultrasound liver images demonstrate the effectiveness of the proposed algorithm.