Contour Primitive Recognition of Planar Thin Sheet Metal Based on Feature Point
Zou YY(邹媛媛)2,3; Chen, Boxuan2,3; Zhang JL(张吉龙)1; Liu, Lei2,3
2020
会议日期October 23-25, 2020
会议地点Virtual, Nanjing, China
关键词contour primitive recognition thin sheet metal feature point K-cosine algorithm DXF file
页码1-5
英文摘要To improve the efficiency of planar thin sheet metal production and guarantee the quality of the sheet metal products which has a plurality of apertures, an automatic measurement system based on machine vision is applied to measure the sheet metal products' dimensions. For the measurement system, contour primitive recognition is one of the most important technologies. In this paper, a recognition algorithm for contour primitives of planar thin sheet metal based on feature point is proposed. The algorithm can be used to detect corner points of the contour and recognize the contour primitives. The procedures are as follows. First, the image of thin sheet metal is captured and the closed contours are detected. And then preliminary identification of the feature points of the contours is performed by using K-cosine algorithm. Consequently, the candidate feature points are modified according to DXF file and the accurate feature points are obtained. Finally, the contour primitives are recognized. Experiments are carried out to verify the validity of the proposed method.
源文献作者IEEE ; Southeast University
产权排序3
会议录2020 IEEE 5th International Conference on Signal and Image Processing, ICSIP 2020
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-7281-6896-8
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/28378]  
专题沈阳自动化研究所_数字工厂研究室
通讯作者Zou YY(邹媛媛)
作者单位1.Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China
2.National-Local Joint Engineering Laboratory of NC Machining Equipment and Technology of High-Grade Stone, Shenyang, China
3.School of Mechanical Engineering, Shenyang Jianzhu University, China
推荐引用方式
GB/T 7714
Zou YY,Chen, Boxuan,Zhang JL,et al. Contour Primitive Recognition of Planar Thin Sheet Metal Based on Feature Point[C]. 见:. Virtual, Nanjing, China. October 23-25, 2020.
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