%0 Journal Article
%T The Application of IGA in the CBIR<br>交互式遗传算法在基于内容的图像检索中的应用
%A QI Yan
%A LU De-tang
%A <br>齐岩
%A 卢德唐
%J 中国图象图形学报
%D 2004
%I 
%X CBIR(Content-based image retrieval) is an image retrieval method that exploits the feature vector of the image as the retrieval index, which is based upon the content, including colors, textures, shapes and distributions of objects in the image etc. The implementation of the image feature vector and the searching process take a great influence upon the efficiency and result of the CBIR. In the paper, a prospective retrieval method based upon the CBIR and the IGA (Interactive Genetic Algorithm) are proposed. Firstly, each image in the collection is segmented into a constant number of sub-images, and the content in each sub-image is computed to make up the feature vector of the image. Then the feature vector of every image is reshuffled in a helix way, to produce the image chromosome, which is used in the following genetic operations. The image chromosome not only characterizes the image, but makes a difference among different parts in the image. During the image retrieval process, the user can employs the IGA to find the image he/she needss for by means of the interaction with the system. In order to promote the efficiency of the IGA, 'Non-uniform Inheriting Operator' is adopted in the genetic operations. Finally, experiments are made and the simplicity and efficiency of the method are discussed.
%K IGA(Interactive Genetic Algorithm)
%K CBIR(Content-Based Image Retrieval)
%K Helix-way encoding
%K Non-uniform inheriting operator<br>交互式遗传算法
%K 图像内容检索
%K 螺旋式染色体编码
%K 非均匀遗传算子
%K 图像搜索引擎
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=0AE707C373C48AC4&yid=D0E58B75BFD8E51C&vid=9CF7A0430CBB2DFD&iid=CA4FD0336C81A37A&sid=D997634CFE9B6321&eid=E514EE58E0E50ECF&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=7&reference_num=11