An Image Retrieval System Based on the Color, Areas, and Perimeters of Objects

  • Authors:

  • Ching-Lin Wang;Ren-Hung Hwang;Yung-Kuan Chan;Chih-Ya Chen;Chuan-Chung Cheng

  • Affiliations:

  • Department of Computer Science and Information Engineering, National Chung Cheng University, No. 160, San-Hsing, Min-Hsiung, Chiayi, Taiwan, R.O.C. E-mail: {clwang,rhhwang}@cs.ccu.edu.tw;Department of Computer Science and Information Engineering, National Chung Cheng University, No. 160, San-Hsing, Min-Hsiung, Chiayi, Taiwan, R.O.C. E-mail: {clwang,rhhwang}@cs.ccu.edu.tw;Department of Management Information Systems, National Chung Hsing University, No. 250, Kuokuang Rd., Taichung 402, Taiwan, R.O.C. E-mail: ykchan@nchu.edu.tw;Department of Information Management, Chaoyang University of Technology, No. 168, Gifeng E. Rd., Wufeng, Taichung County, Taiwan, R.O.C. E-mails: s8954608@cyut.edu.tw/ star0710@tdtv.tinp.net.tw;Department of Information Management, Chaoyang University of Technology, No. 168, Gifeng E. Rd., Wufeng, Taichung County, Taiwan, R.O.C. E-mails: s8954608@cyut.edu.tw/ star0710@tdtv.tinp.net.tw

  • Venue:
  • Fundamenta Informaticae
  • Year:
  • 2005

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Abstract

Two different objects can be generally distinguished by their colors, areas, and perimeters. This paper hence proposes an image retrieval system which uses the colors, areas, and perimeters of objects in an image as the features of the image. The system is insensitive to the shift and rotation variations of objects in images, as well as to the scale and noise variations of images. The experimental results show that this system is capable of recognizing different images very well.