A Novel Algorithm for Region-Based Image Retrieval Framework

The digital image is probably the most important tools in the medicine since this is used for the diagnosis of the diseases, for drug treatment responses and also manages the diseases of patients, having very few side effects and an effective cost-effective relationship. With the wide growth of medical images database, the statistical analysis of medical images is becoming a big challenge. CBIR (content-based image retrieval) is the modern image retrieval system is used to extract medical image features, index those using appropriate structures and efficiently process user queries providing the required answers. Radiology images have rich, varied and subtle features that need to be interpreted accurately, so that the medical practitioners can suggest best treatment. Another problem in accessing medical images is semantic gap. These problems are reduced by using texture image features and using linguistic terms for retrieving images. Proposed approach helps in solving these problems.