Earticle

초록

영어

A shape based descriptor in image retrieval is proposed in this paper. It is focused on developing soft computing efficiency and novelty in image processing. The algorithm calculates a histogram based on the shape descriptor, representing texture feature of an image at high level (object oriented) effectively. By integrating the algorithms in key point detector with shape descriptor, the new method works fairly well compared with the state-of-the-art performance. The new detector detects relationships among key points, regardless of other pixels. That adds robustness to a large extent. Not only spatial relationships, but also variations in texture information are included in the descriptor as well. Structuring elements’ description (SED) and a set of overall texture descriptors in an image (short for TXT) are adopted for comparison. Experiments show that the new method performs the best with the 0.25 higher than the other two methods in robustness and accuracy. The new feature is flexible in multi-situations for different objects of interest.

목차

Abstract
 1. Introduction
 2. Harris Corner Detector
 3. Histogram Based Shape Descriptor (HSD)
 4. Experiments
  4.1 Features for Comparison
  4.2 Selection of Parameter Values in HSD
  4.3 Experimental Results
 Conclusion and Discussions
 Acknowledgments
 References

키워드

저자

• Ying Guo [ School of Information and Control Engineering, Liaoning Shihua University, Fushun China ]
• Siquan Yu [ School of Information and Control Engineering, Liaoning Shihua University, Fushun China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605