鞋类工艺与设计2025，Vol.5Issue(11)：54-56,3.DOI:10.3969/j.issn.2096-3793.2025-11-018
基于机器视觉的鞋面缺陷检测系统研究
Research on the Vamp Defect Detection System based on Machine Vision
摘要
Abstract
In view of the important influence of manual quality inspection of molding module on vamp quality and efficiency,a vamp defect detection system based on machine vision was proposed.Firstly,according to the particularity of vamp detection,the overall design scheme of vamp defect detection system is proposed.Then,the collected vamp images are preprocessed.Finally,the feature recognition and extraction of vamp image were carried out by template matching method.The experimental results show that under different detection environments,the detection method has high recognition accuracy,the recognition success rate is above 96.0%,and the detection time is less than 0.53s,which meets the industrial requirements of vamp defect detection.关键词
正则极限学习机RELM/图像处理/特征值Key words
regular limit learning machine relm/image processing/feature value分类
轻工纺织引用本文复制引用
陈建洪,欧海宁,陈耀东,邓三鹏..基于机器视觉的鞋面缺陷检测系统研究[J].鞋类工艺与设计,2025,5(11):54-56,3.基金项目
1.2021年莆田市科技计划项目《基于机器视觉的鞋面缺陷检测系统研究》(项目编号:2021GM005) （项目编号:2021GM005）
2.2024年湄洲湾职业技术学院校级科研机构《智能制造技术研究中心》(项目编号:PT2023004) （项目编号:PT2023004）
