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Abstract- Newer generations of diagnostic machines are based on digital technologies for data acquisition and consequently with the emergence of digital archiving systems for preservation of diagnosis is rapidly increasing. The goals of Content-Based Image Retrieval (CBIR) systems is to process on collections of images, extract features and based on visual queries, extract relevant image from a repository...
A correlation-enhanced similarity matching framework for medical image retrieval is presented in a local concept-based feature space. In this framework, images are presented by vectors of concepts that comprise of local color and texture patches of image regions in a multi-dimensional feature space. To generate the concept vocabularies and represent the images, statistical models are built using a...
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