Improved coarseness-based image retrieval

Xinghua Sun; Jingyu Yang; Li Guo

doi:10.1117/12.442893

26 September 2001 Improved coarseness-based image retrieval

Xinghua Sun, Jingyu Yang, Li Guo

Proceedings Volume 4551, Image Compression and Encryption Technologies; (2001) https://doi.org/10.1117/12.442893
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

Coarseness is the most fundamental textural feature and has been much investigated since early studies. This paper improves the previous coarseness algorithm on the selection of neighborhood sizes and the calculation of neighborhood average differences, and the improved coarseness algorithm is presented. Experiments show that the improved coarseness has higher texture discriminability and better rotation invariance, and that the image retrieval result based on the improved coarseness is superior to that based on the previous coarseness.

Citation Download Citation

Xinghua Sun, Jingyu Yang, and Li Guo "Improved coarseness-based image retrieval", Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001); https://doi.org/10.1117/12.442893

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