关键词: 机器视觉, 工件图像, 角度检测, 图像去模糊, 生成对抗网络, 直线检测

Abstract: To improve the angle detection accuracy of blurred workpiece image in the complex industrial production environment for performing the effective deblurring operations on the workpiece images,a deblurring method based on Generative Adversarial Networks was proposed,which minimized the distance between deblurred image and sharp image by zero-sum game training between generative network and discriminative network.To avoid problems such as line error detection or breakage,an improved line segment detector algorithm based on line segment detector was proposed.Comparing with the multi-scale convolutional neural network deblurring method,it could be found that the proposed method had improved the detection accuracy by about 13% through experiments and data analysis.

Key words: machine vision, workpiece image, angle detection, image deblurring, generating adversarial networks, line detection