CBMIR: Content Based Medical Image Retrieval System Using Texture and Intensity for Eye Images
This paper aims to develop an efficient visual content based technique to search, and retrieve images from the medical image database. Various features such as texture, color, intensity, shape, resolution, global and local are extracted from the medical images for the retrieval. In this work; we concentrate on the retrieval of eye images. Intensity and texture feature are used to retrieve images. Both these features are combined to form the single feature vector of the image by using fusion method. Query images are used to retrieve similar images from the database. Euclidean Distance method gives top images matching to our query images.