Earticle

초록

영어

Due to the concrete crack images are self-similarity in the contents, it makes the matching procedure more difficult and unstable than the others. For the purpose of finding out the stable and accurate matching algorithm of concrete crack images, we give an analysis of different kinds of characters, such as, scale invariant feature transform (SIFT), local maximum gradient descriptor, Harris corners, and the maximum curvature points of the image edges, etc. Based on the experiments of different concrete crack images, a new stable matching algorithm is proposed in this paper. In our model, the edge information is combined with the local maximum gradient of the input matching images. After the extraction of the local maximum gradient character points, we use the edge information to divide these points into different classes. Then, the searching of the stable and accurate matching problem becomes to find out the best matching results which agree to the edge constraints. The experimental results show that the proposed algorithm is more consistence and stable than the other kinds of matching algorithms especially in the proposing of sequential concrete crack images.

목차

Abstract
 1. Introduction
 2. Related Work
 3. The Proposed Algorithm
 4. Optimization
  4. 1. The Extraction of the Feature Points
  4. 2. The Classification of the Extracted Points
  4. 3. The Matching and Blending
 5. Experimental Results
 6. Conclusion
 Acknowledgments
 References

키워드

저자

• Bo Cai [ Southwest University of Science & Technology, Mianyang Sichuan 621010, China, China Academy of Engineering Physics, Mianyang, Sichuan 621000, China ] Corresponding author
• Zhigui Liu [ Southwest University of Science & Technology, Mianyang Sichuan 621010, China ]
• Junbo Wang [ Southwest University of Science & Technology, Mianyang Sichuan 621010, China ]
• Yuyu Zhu [ Southwest University of Science & Technology, Mianyang Sichuan 621010, 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