Color Matching of Images by using Minkowski-Form Distance
Content-based image retrieval (CBIR) is an important issue in the computer vision community. Color feature is one of the most important visual feature in CBIR. It is very difficult to recognize object from only shape feature because without color a shape of object looks like many other different objects, so there is need of other features like color. Using both features color and shape we can recognize object efficiently. Color histogram is widely used for image indexing in content-based image retrieval (CBIR). In this paper, we propose color histogram for different eight colors i.e. Black, White, Red, Green, Blue, Yellow, Magenta and Cyan to increase the efficiency of proposed algorithm. The distance between different histogram of the query image with the corresponding histogram of database images are calculated by using Minkowski-Form Distance. Experiment results prove that the CBIR using our new measure has better performance.
