Title :
SASI: a new texture descriptor for content based image retrieval
Author_Institution :
Dept. of Comput. Eng., Middle East Tech. Univ., Ankara
Abstract :
A new texture descriptor, namely, statistical analysis of structural information (SASI) is introduced as a representation of texture. SASI is based on the 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 the spatial domain, it measures the spectral information of a given texture. Experimental results, performed on the digitized Brodatz Album, indicate that SASI is very successful in identifying "similar" textures
Keywords :
content-based retrieval; correlation methods; feature extraction; image classification; image representation; image resolution; image retrieval; image texture; spectral analysis; statistical analysis; vocabulary; Brodatz Album; clique autocorrelation functions; content based retrieval; image retrieval; moving windows; spatial domain; spatial multiresolution method; spectral information; statistical analysis of structural information; texture descriptor; texture representation; Autocorrelation; Content based retrieval; Gabor filters; Image databases; Image retrieval; Information retrieval; Shape; Spatial resolution; Statistics; Visual databases;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958443
