Image Segmentation Algorithm for Stamping Defects Based on Improved FCM

During industrial quality inspection, image segmentation of stamping defects is an important part of defect detection, which directly affects the effectiveness of defect detection. However, traditional Fuzzy C-Means (FCM) clustering algorithms overlook spatial neighborhood information and are sensit...

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Bibliographic Details

Published in:	Jisuanji gongcheng
Main Author:	ZHANG Yujie, GAO Han
Format:	Article
Language:	English
Published:	Editorial Office of Computer Engineering 2024-10-01
Subjects:	fuzzy c-means (fcm) clustering|industrial applications|stamping defects|kernel induced distance|markov random field|bald eagle search (bes) algorithm
Online Access:	https://www.ecice06.com/fileup/1000-3428/PDF/20241031.pdf