Content-based image retrieval using support vector machine and texture difference histogram features

Document Type : Original Article

Authors

1 Dep. Science, University of Science and Technology of Mazandaran, Behshahr, Iran

2 Faculty of Engineering, Shahrood Institute of Higher Education, Shahrood, Iran

3 Faculty of Computer Engineering and Information Technology, Shahrood University of Technology, Shahrood, Iran

Abstract

Due to the progress of the digital image world and increasing numbers, preparing a system for image retrieval is essential. A content-based image retrieval system should find similar images to the image searched by a user. In this paper, a novel content-based image retrieval system is proposed. Considering the importance of texture in an image, we introduce a new feature as the histogram of the texture difference in the equal edge orientation. Then, the expressed features are extracted from training images in the proposed system. Then these features are learned using a support vector machine. The proposed system is examined using the standard WANG database. The results show the efficiency of the proposed system in retrieving images compared to similar methods.

Keywords

References

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Soft Computing Journal
Volume 11, Issue 1 - Serial Number 21
September 2022
Pages 10-21

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History

  • Receive Date: 13 March 2022
  • Revise Date: 23 June 2022
  • Accept Date: 21 October 2022

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