Color and Texture Features Based Image Retrieval

Ching I Lin; Ching Hung Su; Shih Hung Tai

doi:10.4028/www.scientific.net/AMM.441.707

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 441Color and Texture Features Based Image Retrieval

Color and Texture Features Based Image Retrieval

Abstract:

We propose a practical image retrieval scheme to retrieve images efficiently. We propose a scheme using color and texture features and address the unique algorithm to extract the color pixel features by the HSV color space and Tamura features of the texture features. The proposed scheme transfers each image to a quantized color code using the regulations of the properties in compliance with HSV color space model and then employing the quantized color code along with Tamura features of texture features to compare the images of database. Experimental of the proposed scheme on demonstrate more efficient and effective than the conventional schemes.

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Periodical:

Applied Mechanics and Materials (Volume 441)

Pages:

707-710

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.441.707

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Online since:

December 2013

Authors:

Ching I Lin, Ching Hung Su*, Shih Hung Tai

Keywords:

Color Histogram, HSV Color Space, Tamura Features

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