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A mechanical transmission based image de-blurring method used for on-line surface quality inspection

机译:基于机械透射图像去模糊方法,用于在线表面质量检验

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摘要

A mechanical transmission based approach was employed to achieve motion blur removing of the image by eliminating relative movement. To achieve linear motion of the camera especially during exposure time, "velocity curve splicing" was proposed to plot cam outline which contained a linear phase. A lab-scale equipment was established where velocity data were collected to test performance of object tracking. It was shown that the camera velocity would properly match the object velocity, the linear relationship between object and cam motions was achieved as well. The images were captured on-line, and it was indicated that the blurring length of object image was less than 1 pixel, which proved the reliability of proposed method for motion blur removal. Further, this method was compared with conventional Lucy-Richardson algorithm. It was found that our method not only saved the time for image restoration, by also surpassed the latter in guaranteeing image quality. (C) 2019 Elsevier Ltd. All rights reserved.
机译:采用基于机械透射的方法来实现通过消除相对运动去除图像的运动模糊。为了在曝光时间内实现相机的线性运动,提出了“速度曲线拼接”绘制包含线性相位的凸轮轮廓。建立了实验室规模的设备,其中收集了速度数据以测试对象跟踪的性能。结果表明,相机速度将适当地匹配物体速度,因此也实现了物体和凸轮运动之间的线性关系。在线捕获图像,并表示物体图像的模糊长度小于1像素,这证明了提出的运动模糊去除方法的可靠性。此外,将该方法与传统的Lucy-Richardson算法进行了比较。结果发现,我们的方法不仅保存了图像恢复的时间,还在保证图像质量方面超越了后者。 (c)2019年elestvier有限公司保留所有权利。

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