Approach for image retrieval based on hybrid features kernel
Qi Wang · Computer Engineering and Applications Journal · 2012
In order to more accurately describe image visual features, improve image retrieval efficiency, this paper proposes an image retrieval method based on hybrid features kernel. This method extracts image features of color, texture and SIFT, introduces Gaussian kernel function to establish image model of hybrid features kernel, and performs kernel K-means clustering in the high dimensional space. Experiments show that the hybrid model is better to describe image visual features than the single feature, improves the retrieval speed and accuracy.