It is the process of fetching hidden knowledge from a wide store of raw data. The knowledge must be new, and one must be able to use it. This paper presents a method to extract color and texture features of an image quickly for content-based image retrieval (CBIR). CBIR refers to image content that is retrieved directly, by which the images with certain features or containing certain content will be searched in an image database. The main idea of CBIR is to analyze image information by low level features of an image, which include color, texture, shape and space relationship of objects etc., and to set up feature vectors of an image as its index. In this paper various approaches from image retrieval that are based on color, shape and texture has been elaborated.