Texture Analysis and Indexing Using Gabor-like Hermite Filters
نویسندگان
چکیده
In this paper, we study texture discrimination based on two filter families, Gabor and Hermite, which agree with the Gaussian derivative model of the human visual system. In the first part, discrimination of different textures, based on the output energy of these filters, is compared using the Fisher criterion and classification result. Results show that the presented filter bank is suitable for purposes of texture feature extraction and discrimination. The second part of this paper is dedicated to global and local texture feature extraction for image indexing and retrieval based on Hermite filters.
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