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ASME Press Select Proceedings

International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3

Yi Xie
Yi Xie
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ASME Press
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In this paper, HSV color model is selected to verify other links to the choice of methods. Next, the color space is quantized and the quantization standard can be divided into equidistant quantification and non-equidistant quantification .The after is choosing proper feature extraction method. In the choice of similarity measure, this paper compares Euclidean distance and the weighted distance, and then concludes the more effective retrieval results. Finally, through the contrast, this paper chooses the optimal image retrieval algorithm: HSV color model-Local accumulate histogram- Euclidean distance- non-equidistant quantification.

Key Words
1 Introduction
2. The Color Feature Extractin Algorithm Adopted in the Article
3 .Color Quantization
4. Color Feature Similarity Computtion
5. Improved Algorithm Thought in This Paper
6. Experimental Results and Nanlysis
7. Summaries
8. Acknowledgment
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