吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (4): 1076-1080.doi: 10.13229/j.cnki.jdxbgxb201404027

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Vision inspection technology of fracture splitting notch of auto connecting rod

LIU Chang-ying1, CAI Wen-jing1, WANG Tian-hao2, LI Ji-zhi1, JIA Yan-mei1, SONG Yu-he1   

  1. 1.College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, China;
    2.College of Automotive Engineering, Jilin University, Changchun 130022, China
  • Received:2013-01-19 Online:2014-07-01 Published:2014-07-01

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Abstract: In traditional manual detection of fracture splitting notch of auto connecting rod, the workload is heavy, the efficiency is low and the detecting error is big. To overcome these shortcomings, an improved machine vision inspection method is proposed. This method uses a CCD camera to obtain detection image, and filters out the background noise by homomorphic filtering technique to improve the quality of the detected images. It uses the self-adaptive threshold Canny edge detection method to extract the edge information. The target feature is recognized and judged by measuring its circularity and oblateness. The proposed method is verified by auto connecting rod detection experiment. Results show that using the proposed method can realize quick and accurate detection of auto connecting rod.

Key words: automatic technology, auto connecting rod, machine vision, homomorphic filtering, edge operator

CLC Number: 

  • TP247.5
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