Comparative analysis of content based image retrieval using both color and texture

Content Based Image Retrieval is the method to retrieve stored image from database by supplying query image instead of text. This is achieved using proper feature extraction and matching process. Here we have implemented two methods of content based image retrieval using color and texture. In both of these method feature extraction of color is done using color moment. While feature extraction of texture is done using wavelet texture features and Gabor texture features. Finally we have retrieved top images using euclidean distance and chi-square distance and we have made comparative analysis.