Color-based Feature Extraction and Matching Algorithms on Image Retrieval
Xing Wei-li · Microcomputer Development · 2004
Introduces color feature extraction and matching algorithms in content-based image retrieval,such as weighted Euclidean-distance,weighted centre distance,histogram intersection algorithm,etc.Some algorithms were applied to a practicl digital museum image database information system developed by Visualization Institute of Northwest University, and presents a comparative experiment results.The experimentsal result shows that weighted Euclidean-distance is better than Euclidean-distance,and weighted center distance is not only simple but also high-speed. Histogram intersection algorithm has no apparent advantage over weighted Euclidean-distance.In praticality,a high-speed algorithm can be used firstly,secondly another algorithm can be used on the retrieval result.