关键词: 图像检索, 特征融合, 相关反馈, Adaboost算法

Abstract: A image retrieval method based on multi-feature integration is proposed.Images are firstly partitioned into equal-sized sub-images，then the main color of each block is extracted and the main color histogram is computed as the image’s color feature.Gabor wavelet is proposed to describe the texture feature，and wavelet invariant moments is used to describe shape feature．In order to improve the precision of image retrieval，a relevance feedback mechanism，based on Adaboost method is invoked.Adaboost method is used to realize the dimensionality reduction and improve retrieval speed.Finally，the precisions and recalls of single feature，multi-feature integration and relevance feedback are calculated and compared．

Key words: image retrieval, feature integration, relevance feedback, Adaboost method