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《Modern Electronics Technique》 2011-04
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Detection and Recognition of Underwater Target Based on Feature Matching

LIU Li-xian1,2,JIAO Shu-hong1,2,CHEN Tao1,2(1.National Defense Key Laboratory of Autonomous Underwater Vehicle Technology,Harbin Engineering University,Harbin 150001,China;2.College of Information & Communication Engineering,Harbin Engineering University,Harbin 150001,China)  
Aiming at the detection and recognition of underwater target with special environment,a feature matching algorithm based on Hough transform and geometrical feature is proposed.Combined the advantages of Canny edge detection and iterative threshold segmentation,the post-processing combined segmentation algorithm greatly reduced the noise effects on target extraction such as non-uniform illumination.Hough straight line matching and geometrical feature matching algorithm realized regular geometrical shape target's recognition,showed the performance of anti-rotation and anti-scaling.Experimental result shows the algorithm's accuracy and stability
【Fund】: 水下智能机器人技术国防科技重点实验室研究基金资助(2009-1)
【CateGory Index】: TP391.41
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