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《Journal of Optoelectronics·Laser》 2018-06
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Shape matching of workpiece edge based on shape context

HUA Chun-jian;XIONG Xue-mei;CHEN Ying;School of Mechanical Engineering,Jiangnan University;School of Internet of Things Engineering,Jiangnan University;  
A series of improvements are made to the traditional shape context matching algorithm.On the one hand,this paper introduces the double local binary pattern(DLBP)texture feature weight value,which has high robustness gradient information,such as noise and illumination change,and improves the matching precision.On the other hand,this paper proposes a joint-line constraint similarity measurement,which limits the matching search space to the smaller rectangular window corresponding to the theoretical matching point by using the line constraint,thus reducing the complexity of the search space and enhancing the real-time performance of the algorithm.Matching points have higher accuracy.Finally,the experiment shows that the algorithm is effective and practical.
【Fund】: 国家自然科学基金(61573168)资助项目
【CateGory Index】: TP391.41
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