文献类型：期刊文献

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

作者：Wang, Xiao[1] Zhou, Yucheng[1]

第一作者：王霄

通信作者：Wang, X[1]

机构：[1]Chinese Acad Forestry, Res Inst Wood Ind, Beijing 100091, Peoples R China

年份：2020

卷号：151

外文期刊名：MEASUREMENT

收录：;EI(收录号：20195007802506);Scopus(收录号：2-s2.0-85075920994);WOS:【SCI-EXPANDED(收录号:WOS:000500942200014)】；

基金：This work has been financially supported by the special fund of basic research funding of Chinese central nonprofit research institutions (CAFYBB2018MB002).

语种：英文

外文关键词：Surface defect; Computer vision; Motion blur; Image segmentation; Quality inspection

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.