Design & Development of Color Matching Algorithm for Image Retrieval Using Histogram and Segmentation Techniques

Color based image retrieval is an important research area in digital image processing and Color is the useful property of the image. The challenging task is to find an efficient and accurate color images similar value and some limitations between two different types of image are matching such as compressed color image and RGB color image, RGB image and HSV color image, color image and 90 degree rotate color image but this matching technique remove these problems. This paper Proposed two method first, a new matching technique to find the similar value between query color image and database color image using histogram, spatiogram and bins and second, developed a new segmentation based matching technique using threshold selection to matching between two color image based on histogram database. This method uses RGB and HSV color space. This is a matching technique based on histogram and spatiogram, spatiogram is a generalization of histogram.