Earticle

초록

영어

To improve the Features from Accelerated Segment Test (FAST) algorithm such as artificial threshold setting and the choice and ordering of continuous points on circle, a novel compass detection algorithm is proposed. The algorithm uses four compasses as the test mask and calculates threshold value based on image intensity feature. Four compasses are used to pre-detect corners. In order to improve the location accuracy of corners, pseudo response on skewed edges is eliminated. Finally, multiple adjacent responses are tackled by keeping only points which have extremal value of Laplacian. Comparative experiments between FAST and the proposed algorithm are carried out with respect to validity, robustness and efficiency. The results show that the detected corners by the proposed algorithm are accurately located and well-distributed.

목차

Abstract
 1. Introduction
 2. Adaptive Threshold Compass Detection
  2.1. Compass Corner Detection
  2.2. The Adaptive Threshold
  2.3. Skewed edge pseudo corner elimination
  2.4. Non-Maximum Suppression
 3. Experimental Analysis
  3.1. Robustness of Algorithm
  3.2. Efficiency of Algorithm
 4. Conclusion
 References

키워드

저자

• Jia Li [ College of Tourism and Geographical Sciences,Yunnan Normal University, Kunming China ]
• Jinliang Wang [ College of Tourism and Geographical Sciences,Yunnan Normal University, Kunming China ] Corresponding Author
• Ping Duan [ College of Tourism and Geographical Sciences,Yunnan Normal University, Kunming 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