Content Based Image Retrieval (CBIR) is one of the most active in the current research field of multimedia retrieval. It retrieves the images from the large databases based on images feature like color, texture and shape. In this paper, Image retrieval based on multi feature fusion is achieved by color and texture features as well as the similarity measures are investigated. The work of color feature extraction is obtained by using Quadratic Distance and texture features by using Pyramid Structure Wavelet Transforms and Gray level co-occurrence matrix. We are comparing all these methods for best image retrieval.