关键词: 图像检索, 遗传算法, 模糊C均值聚类算法, 支持向量机, 相关反馈

Abstract: Image retrieval method based on genetic fuzzy c-means algorithm and support vector machines relevance feedback is proposed.First of all，the color feature and texture feature of image library is extracted，and genetic FCM clustering algorithm is used to cluster image，each cluster center of image class is obtained.The similarity between the sample image and the corresponding categories is calculated，according to the size of the similarity to return to retrieval results.At last，a relevance feedback method based on support vector machines is proposed to further improve the accuracy of the retrieval.The experiments show that the proposed method has a good image retrieval performance.

Key words: image retrieval, genetic algorithm, Fuzzy C-means Clustering algorithm, Support Vector Machines（SVM）, relevance feedback