Improvement of SUSAN Image Filtering Method for PCB Quality Inspection

Yevsieiev, V.; Maksymova, S.; Ahmad Alkhalaileh

Публікація:
Improvement of SUSAN Image Filtering Method for PCB Quality Inspection

dc.contributor.author	Yevsieiev, V.
dc.contributor.author	Maksymova, S.
dc.contributor.author	Ahmad Alkhalaileh
dc.date.accessioned	2024-08-03T11:09:57Z
dc.date.available	2024-08-03T11:09:57Z
dc.date.issued	2024
dc.description.abstract	This paper presents an improvement to the SUSAN image filtering method to improve the quality inspection accuracy of printed circuit boards (PCBs). The problems of traditional filtering methods are considered and improvements are proposed aimed at more effectively removing noise and increasing the reliability of defect detection. The experiments confirm that the modernized SUSAN method provides higher image quality, which is critical for computer vision systems in Industry 4.0. Application of the proposed approach helps reduce defect rates and optimize production processes, improving the overall productivity and reliability of PCB quality control.
dc.identifier.citation	Yevsieiev V. Improvement of SUSAN Image Filtering Method for PCB Quality Inspection / V. Yevsieiev, S. Maksymova, Ahmad Alkhalaileh // Journal of Universal Science Research, 2024. – Vol. 2(7). – P. 106–116.
dc.identifier.issn	2181-4570
dc.identifier.uri	https://openarchive.nure.ua/handle/document/27688
dc.language.iso	en_US
dc.publisher	Journal of Universal Science Research
dc.subject	Industry 4.0
dc.subject	Сomputer Vision Systems
dc.subject	SUSAN Image Filtering Method
dc.subject	printed circuit boards
dc.title	Improvement of SUSAN Image Filtering Method for PCB Quality Inspection
dc.type	Article
dspace.entity.type	Publication