An Efficient Content Based Image Retrieval System Based on Color Space Approach Using Color Histogram and Color Correlogram

The use of Image data is growing tremendously in every field such as medical, engineering designs, fashion, interior designs, and education etc. For this growing need of image data, we also need to have an efficient and effective tool for its retrieval. This increasing need of content based image retrieval technique can be rising in a number of other different domains. In this paper the researcher presents a method for image retrieval based on text, color space approaches with color histogram and color correlogram. In this color space approach, global color histogram and local histogram are applied for both color spaces RGB (Red Green Blue) color space and HSV (Hue Saturation Value). Color correlogram is a second order statistical approach which calculate spatial relationship. In this approach Euclidean distance is used for comparing query image with database images.