Content-based image retrieval is the application of computer vision. This techniques is used due to the image retrieval problem, that is, the problem of searching of digital images in large databases. This paper presents a review of fundamental aspects of content based image retrieval including feature extraction of color on image, indexing dataset and defining similarity metric to compare the image in dataset. Here we use effective image descriptor the color histogram and and chi-squared distance for comparison matrix. For texture analysis we use gabor filter.