Transactions of Materials and Heat Treatment

Title：Bending angle detection based on machine vision

Authors： Wu Yasha Xiao Xiaoting Chen Kang Xu Xin

Unit： Guangdong University of Technology

KeyWords： angle detection camera calibration image processing BLOB analysis machine vision

ClassificationCode：TG385.9

year,vol(issue):pagenumber：2018,43(8):184-189

Abstract：

For the problem of difficult manual detection of bending springback angle in automatic stamping production line, a detection method based on machine vision was proposed. Then, the bending angle detection system was introduced, and the internal and external parameters of camera were calibrated by the camera to correct the image and improve the detection accuracy. Based on the vision algorithm Halcon, the image was processed, and the target line segments on both sides of bending angle were identified. Furthermore, the average values of the internal and external angles composed of inner and outer boundaries for each bending angle was calculated, and the bending angle was detected at last. Moreover, the bending part was separated from the background by image processing algorithm including BLOB analysis, and the inner and outer boundaries of bending parts were obtained by morphological processing. Finally, the sub-pixel edges were extracted, and the detection targets were obtained by the segmentation and fitting of line segments. The method can realize non-contact sub-pixel precision detection of bending angle and provid the judgment basis for quality detection of bending parts.

Funds：

广东省战略性新兴产业发展专项(2012A090100014)；广东省教育部产学研结合项目(201213091100024)；广州市科技项目(2014J2200084)

吴雅莎（1992-），女，硕士研究生，E-mail：yasha2008@163.com；通讯作者：肖小亭（1957-），男，博士，教授，博士生导师，E-mail：xiaoxt@gdut.edu.cn

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