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Title
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Texture Images: Analysis, Classification and Comparison Study
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Author
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Hebatallah Awwad and Amer O. Abu Salem
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| Citation |
Vol. 26 No. 4 pp. 135-139
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Abstract
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Texture is an important characteristic for image analysis. This paper contains study and review of most major image texture classification approaches using different wavelet domain feature extraction algorithms, which have been proposed in the recent literature for image-texture classification, and perform a comparative study. The objective of study is to offer a comparison study to help other researchers to find technique or combination of techniques to reduce complexity, while increasing the accuracy at the same time.
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Keywords
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Image Texture, Discrete Wavelet Transform, Image decomposition.
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URL
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http://paper.ijcsns.org/07_book/202604/20260416.pdf
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