An unsupervised learning approach to pixel based image retrieval

In this paper, we are going to study about the ¿Image Indexing through Pixel Variations¿. Grouping images into meaningful categories to retrieve useful information is a challenging and important problem. Content based image retrieval address the problem of retrieving images relevant to the user needs from image databases . Here, in this we are going to gather the similarity between the images which are already stored in database. Here we are giving image as input and then comparing it with training concepts in the database. To perform the exact matching of images, certain options are provided for user´s choice along with the query. This includes the color, location, shape and size of the input image.