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Auto-detect of machine vision and its application in assembling inspection
Wang, Jing1; Yang, Xiaoyi2
2011
会议录名称Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
页码18-22
出版者Institute of Electrical and Electronics Engineers Inc.
摘要Aimed at the inspection of non-defect work-piece, the paper proposed a sort of image processing method to make scathe-less detect for work-piece by industrial CT. Based on the auto-detect of image edge by image segment algorithm extracted geometry size of CT image, firstly non-defect work-piece was chose out to implement accurate location of CT image for the same work-piece section by phase correlation method, then the location of possible template image in the waited detect image could be judged by modified Hausdorff distance. In this paper, it took the recognition inspection of precision assembly of metal parts as an example that judged the location information in the original image by means of template image. The judged results viewed that the correct recognition rate was 100 for part assembly being right and whether leak assembly. The instance inspection results show that it is high in precision and repetitiveness. © 2011 IEEE.
关键词Computer vision Correlation methods Defects Edge detection Image segmentation Inspection Location Accurate location CT Image Image processing methods Location information Modified Hausdorff Distance objection recognition Phase correlation method Precision assemblies
DOI10.1109/WCICA.2011.5970537
收录类别EI
语种英语
EI入藏号20113614312005
原始文献类型Conference article (CA)
文献类型会议论文
条目标识符https://ir.cqcet.edu.cn/handle/39TD4454/3276
专题人工智能与大数据学院
作者单位1.Dept. of Computer Application, Chongqing College of Electronic Engineering, Chongqing 401331, China;
2.College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
第一作者单位重庆电子科技职业大学
推荐引用方式
GB/T 7714
Wang, Jing,Yang, Xiaoyi. Auto-detect of machine vision and its application in assembling inspection[C]:Institute of Electrical and Electronics Engineers Inc.,2011:18-22.
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