Screw surface defect detection system based on improved template matching algorithm

Author:

Xu Qianchang1ORCID,Wang Xuqi1ORCID

Affiliation:

1. Xijing University, China

Publisher

ACM

Reference18 articles.

1. Li Shun . Research on comprehensive screw detection method based on machine vision and deep learning [D] . South China University of Technology , 2020 . Li Shun. Research on comprehensive screw detection method based on machine vision and deep learning [D]. South China University of Technology, 2020.

2. Ge Zhen . Design of automatic detection system for screwdriver head based on machine vision [D] . Hunan University , 2019 . Ge Zhen. Design of automatic detection system for screwdriver head based on machine vision [D]. Hunan University, 2019.

3. Cao Kai . Research on Appearance Defect Detection Method Based on Convolutional Neural Network [D] . Harbin Institute of Technology , 2017 Cao Kai. Research on Appearance Defect Detection Method Based on Convolutional Neural Network [D]. Harbin Institute of Technology, 2017

4. Huang Mengtao Lian Yixin. Surface defect detection of lithium battery pole pieces based on improved Canny operator [J/OL]. Journal of Instrumentation: 1-11[2021-10-27].http://kns.cnki.net/ kcms/detail /11. 2179 .th.20211014.1211.004.html.. Huang Mengtao Lian Yixin. Surface defect detection of lithium battery pole pieces based on improved Canny operator [J/OL]. Journal of Instrumentation: 1-11[2021-10-27].http://kns.cnki.net/ kcms/detail /11. 2179 .th.20211014.1211.004.html..

5. Research on longitudinal displacement detection system of rail based on image processing [J];Yifan Gong;Computing Technology and Automation,2021

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