The Fast Development of image capturing in digital form lead to the availability of large databases of images. The manipulation and management of images within these databases depends mainly on the user interface and the search algorithm used to search these huge databases for images, there is two search methods for searching within image databases: Text-Based and Content-Based.
In this paper we present a method for content based image retrieval based on color histogram to extract image features. A preprocessing is applied to enhance the extracted features, which are smoothing , quantization and edge detection. Color histogram is applied for HSV (Hue Saturation Value) to find the Most used colors. In this approach Color distance is applied for comparing a query image with database images. This approach provides accurate, efficient, less complex retrieval system.