Content based image retrieval system searches the database to find the images that are similar\nto the query image. It compares the images in the database, using the features such as shape,\ncolor, texture etc. The common problems faced in Image Retrieval System are semantics and\ntime consumption. This will overcome by developing an Image Retrieval System that allows\nthe user to query using a single region of an image instead of whole image. Since we\nconcentrate on medical domain, the features extracted are shape, intensity and texture are\nused in spatial domain. In this work the first step is to crop the query image as specified by\nthe user. Second, extract the features from the cropped image. Similarly, crop and extract the\nfeatures for the database images. Determine the image similarity and retrieve the images from\nthe database using Euclidean Distance method. In this method, the images with shortest\ndistance from the query image are retrieved.

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