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《Electronic Measurement Technology》 2008-09
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Improvement and implementation of SUSAN algorithm based on non-maximum suppression

Liang Hao1 Cai Jianlin2 Yu Youling1 (1.Electronics & Information Engineering College,Tongji University,shanghai 201804;2.Department of Mathematics,Shanghai Jiaotong University,shanghai 200240)  
The method of edge detection binocular stereo-vision system based on FPGA must have characters of strong noise-rejection,high position accuracy,good real-time performance and hardware implementation easily.This paper proposes a modified SUSAN algorithm for edge-detection which is well suited to the FPGA-based binocular stereo-vision system.Firstly,the original response and normal direction of each pixel is calculated by SUSAN algorithm.Then non-maximum suppression is applied according to the distance threshold between USAN barycenter and center.Finally,connecting the edges and getting the edge images.The algorithm is programmed by Verilog HDL and implemented in FPGA.The result indicated that the design performance is good when applied to stereo matching.
【Fund】: 国家863高技术研究发展计划(2006AA05Z211)资助
【CateGory Index】: TP391.41
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