SASI: A new texture descriptor for content based image retrieval

Date

2001-10-10

Author

Carkacioglu, A
Yarman-Vural, F

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In this paper, a new texture descriptor, namely, Statistical Analysis of Structural Information (SASI) is introduced as a representation of texture. SASI is based on statistics of clique autocorrelation functions calculated over a set of directional moving windows. SASI defines a set of windows to extract and measure various structural properties of texture by using a spatial multiresolution method. Although it works in spatial domain, it measures the spectral information of a given texture. Experimental results, performed on digitized Brodatz Album, indicate that SASI is very successful in identifying the "similar" textures.

URI

https://hdl.handle.net/11511/65536

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Department of Computer Engineering, Conference / Seminar

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Citation Formats

A. Carkacioglu and F. Yarman-Vural, “SASI: A new texture descriptor for content based image retrieval,” 2001, p. 137, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65536.