Research on image retrieval algorithm by relevance feedback technology and shape features
Min Xiang · Textile Research Journal · 2014
Content-based image retrieval is a research focus in clothing electronic commerce. In order to improve the accuracy of the clothing image retrieval system based on shape feature,an algorithm has been put forward,which uses general Fourier descriptors and the improved feedback technology. By analysis of various kinds of Fourier descriptors,the general Fourier descriptors which have outstanding performance are selected and distance computation formula is optimized by energy ratio of coefficient. According to the probability distribution,the algorithm improves the weight calculation method for the vector optimization algorithm. The experimental results of skirts show that the proposed algorithm outperforms the conventional algorithm. By combining such features as color,texture,etc.,the performance of the proposed method can be further improved.