Computer Science ›› 2014, Vol. 41 ›› Issue (Z6): 139-142.

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Edge Detection Based on Spatial Moments of Local Region

CHEN Chang-xiao,HE Ming-hao and QU Zhi-guo   

  • Online:2018-11-14 Published:2018-11-14

Abstract: The SUSAN edge detector is an algorithm based on the local region information which is prone to false-edge problems in noisy environment since it only utilizes the zeroth spatial moment of local region.To solve that problem,a novel edge detector,which utilizes information of higher-order spatial moments such as the first and second-order spatial moments of local region,was presented.Experiments were conducted on synthetic image and real images with different kinds of noise.The results show that M-USAN can remove false-edges and improve the performance of SUSAN edge detector effectively.

Key words: Edge detection,SUSAN edge detector,Local region,Spatial moment

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