Content-based image retrieval system learn and realization

摘要

Content-based image retrieval has been an active research topic in the last decade. Feature extraction and representation is one of the most important issues in the content-based image retrieval. In this paper, we propose several content-based image retrieval methods based on the color features. Experimental results show that the proposed cumulative histogram arithmetic is higher retrieval accuracy than general histogram arithmetic, even though the MTM color space is not higher than traditional HSV color space. The results have a promotion for the universal application of the image retrieval based on content.