An Surface Defect Extraction of Component Scratches Algorithm Based on Gaussian Filter

Hao Li*, Niansong Zhang, Aimin Wang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Scratch defects on the surface of many tiny components are difficult to be solved by machine vision technology, and the algorithm needs to be constantly evolved. Therefore, based on image processing technology, a method of extracting scratch defects on the surface of components based on Gaussian filtering in frequency domain filtering is proposed. Firstly, in the early image preprocessing, the Gaussian filter is used to filter the image, and then the Hough transform algorithm is used to represent the contour, and the image morphology is analyzed. Finally, the Gabor filter is used to extract the scratch defects.

源语言英语
主期刊名2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023
出版商Institute of Electrical and Electronics Engineers Inc.
157-162
页数6
ISBN(电子版)9798350320831
DOI
出版状态已出版 - 2023
活动20th IEEE International Conference on Mechatronics and Automation, ICMA 2023 - Harbin, Heilongjiang, 中国
期限: 6 8月 20239 8月 2023

出版系列

姓名2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023

会议

会议20th IEEE International Conference on Mechatronics and Automation, ICMA 2023
国家/地区中国
Harbin, Heilongjiang
时期6/08/239/08/23

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