Content based Image Retrieval using Color Space Approaches
Gaurav Jaswal1, Amit Kaul2, Rajan Parmar3
1Gaurav Jaswal, ECE, Carrer Point University, Hamirpur, (H.P), India.
2Amit Kaul, EED, National Institute of Technology, Hamirpur, (H.P), India.
3Rajan Parmar, ECS, HPPCL, Shimla, (H.P), India.
Manuscript received on September 20, 2012. | Revised Manuscript received on October 10, 2012. | Manuscript published on October 30, 2012. | PP: 4-7 | Volume-2 Issue-1, October 2012. | Retrieval Number: F0611071612/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: GCH, LCH, RGB & HSV.