›› 2012, Vol. ›› Issue (03): 759-765.

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Edge detection based on feature fusion of USAN area

QU Zhi-guo1, WANG Ping1, GAO Ying-hui1, WANG Peng1, SHEN Zhen-kang1, LI Jiang2   

  1. 1. National Key Laboratory of ATR, National University of Defense Technology, Changsha 410073, China;
    2. Department of Equipment, Unit 95028 of PLA, Wuhan 430079, China
  • Received:2011-03-20 Online:2012-05-01

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Abstract: The Smallest Univalue Segment Assimilating Nucleus (SUSAN) edge detector is prone to false-edge problem in noisy environment since it only utilizes the size of USAN area. To solve this problem, a novel edge detector based on feature fusion of the USAN area is proposed, which is called FUSAN edge detector. First, the FUSAN edge detector finds candidate edge points using the size information of USAN area. Then, directly and indirectly using the shape information of USAN area, the FUSAN edge detector computes two edge responses. Finally, the two responses are fused using simple strategies to get the final edge response. Comparing to SUSAN edge detector, FUSAN edge detector utilizes both the size and shape information of USAN area. Synthetic and Cameraman images are used to evaluate the performance of FUSAN edge detector. Experimental results show that FUSAN edge detector outperforms SUSAN edge detector.

Key words: information processing, edge detection, feature fusion, edge detector

CLC Number: 

  • TN911.73
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