Color Extraction and Research of Image Retrieval Based on Wavelet Territory

Abstract:

This paper firstly studies the image color features based on wavelet territory. We introduce a color features’ extract method based on HSI low-frequency subband color features after partition. Firstly, according to the image attention from human eyes, we split the image into sub-blocks. Then extract HSI low-frequency subband color features of each sub-block after wavelet transform, and we can obtain the image color features by weighting. Comparing with traditional histogram method, the experiment results show that the proposed algorithm based on weighted dominant color feature has better retrieval precision.

• Periodical: Applied Mechanics and Materials (Volumes 631-632)
• Pages: 418-421
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.631-632.418
• Online since: September 2014
• Authors: Lin Lin Song, Qing Hu Wang, Zhi Li Pei*
• Keywords: Color, Image Retrieval, Lifting Wavelet

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