关键词: 图像检索, 混合特征核, 基于核的聚类, 尺度不变特征转换（SIFT）特征, 颜色特征

Abstract: 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.

Key words: image retrieval, hybrid features kernel, kernel-based clustering, Scale Invariance Feature Transform（SIFT） feature, color feature