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

Hao Li; Niansong Zhang; Aimin Wang

doi:10.1109/ICMA57826.2023.10215705

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

Hao Li^*, Niansong Zhang, Aimin Wang

^*Corresponding author for this work

School of Mechanical Engineering

Nanjing University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	157-162
Number of pages	6
ISBN (Electronic)	9798350320831
DOIs	https://doi.org/10.1109/ICMA57826.2023.10215705
Publication status	Published - 2023
Event	20th IEEE International Conference on Mechatronics and Automation, ICMA 2023 - Harbin, Heilongjiang, China Duration: 6 Aug 2023 → 9 Aug 2023

Publication series

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

Conference

Conference	20th IEEE International Conference on Mechatronics and Automation, ICMA 2023
Country/Territory	China
City	Harbin, Heilongjiang
Period	6/08/23 → 9/08/23

Keywords

Defect detecting
Image denoising

Access to Document

10.1109/ICMA57826.2023.10215705

Cite this

Li, H., Zhang, N., & Wang, A. (2023). An Surface Defect Extraction of Component Scratches Algorithm Based on Gaussian Filter. In 2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023 (pp. 157-162). (2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMA57826.2023.10215705

@inproceedings{bc7f338ae661482cbd20b675893e8dad,

title = "An Surface Defect Extraction of Component Scratches Algorithm Based on Gaussian Filter",

abstract = "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.",

keywords = "Defect detecting, Image denoising",

author = "Hao Li and Niansong Zhang and Aimin Wang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 20th IEEE International Conference on Mechatronics and Automation, ICMA 2023 ; Conference date: 06-08-2023 Through 09-08-2023",

year = "2023",

doi = "10.1109/ICMA57826.2023.10215705",

language = "English",

series = "2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "157--162",

booktitle = "2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023",

address = "United States",

}

Li, H, Zhang, N & Wang, A 2023, An Surface Defect Extraction of Component Scratches Algorithm Based on Gaussian Filter. in 2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023. 2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023, Institute of Electrical and Electronics Engineers Inc., pp. 157-162, 20th IEEE International Conference on Mechatronics and Automation, ICMA 2023, Harbin, Heilongjiang, China, 6/08/23. https://doi.org/10.1109/ICMA57826.2023.10215705

An Surface Defect Extraction of Component Scratches Algorithm Based on Gaussian Filter. / Li, Hao; Zhang, Niansong; Wang, Aimin.
2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 157-162 (2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An Surface Defect Extraction of Component Scratches Algorithm Based on Gaussian Filter

AU - Li, Hao

AU - Zhang, Niansong

AU - Wang, Aimin

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Defect detecting

KW - Image denoising

UR - http://www.scopus.com/inward/record.url?scp=85170825791&partnerID=8YFLogxK

U2 - 10.1109/ICMA57826.2023.10215705

DO - 10.1109/ICMA57826.2023.10215705

M3 - Conference contribution

AN - SCOPUS:85170825791

T3 - 2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023

SP - 157

EP - 162

BT - 2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

Y2 - 6 August 2023 through 9 August 2023

ER -

Li H, Zhang N, Wang A. An Surface Defect Extraction of Component Scratches Algorithm Based on Gaussian Filter. In 2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 157-162. (2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023). doi: 10.1109/ICMA57826.2023.10215705

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

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