Content Based Image Retrieval Using Color Space Approaches
Gaurav Jaswal, Amit Kaul, Rajan Parmar · 2013
Abstract— The decreasing costs of consumer electronic devices such as digital cameras and digital camcorders, along with the ease of transportation facilitated by the Internet, has lead to a phenomenal rise in the amount of multimedia data. With this rapid development of multimedia technologies, the problem of how to retrieve a specified image from large amount of image databases becomes an important issue. In this paper we have developed a CBIR system based on the color features in RGB and HSV color space. Global color histogram (GCH) which lacks spatial information about the image colors has been compared with LCH. Algorithms were tested on two Databases one comprising of 500 JPEG images and another comprising of 120 JPEG images of national flags of different countries. The LCH approach has been found to be better and more accurate than GCH approach.