期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：10
页码：14844-14847
DOI：10.18535/ijecs/v4i10.37
出版社：IJECS
摘要：Content Based Medical image retrieval can assist physicians in binding information supporting theirdiagnosis. Systems that allow to search for medical images need to provide tool for quick and easy navigation as the timefor information search is very easy to find the images. Relevance feedback is a powerful tool for information retrieval.Content-based image retrieval with relevance feedback schemes based on Method Fuzzy Logic Gaussian Mixture modeldidn’t require much time when compared to GMM. Also FLGMM gives efficient clustering. It gives best result foroverlapped data sets. It is used to retrieve the medical image effectively and efficiently. Results show the potential ofrelevance feedback techniques in medical image retrieval and the superiority of the proposed algorithm over commonlyused approaches. This technique users to retrieve a similar query images from a database
