An Image Retrieval Algorithm Based on HVS Weighted Color Features

Abstract:

This paper introduces a HVS Weighted color features’ extract method. Firstly, we split the image into sub-blocks and draw the color feature consists of dominant colors in each sub-block. Then weighting the gained color features by making use of Human Visual System. So we can obtain the weighted dominant color feature. Comparing with traditional histogram method and split blocks dominant color 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: 410-413
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.631-632.410
• Online since: September 2014
• Authors: Lin Lin Song, Qing Hu Wang, Zhi Li Pei*
• Keywords: Dominant Color, Image Retrieval, Split Blocks, Weighted Feature

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