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专利名称: 基于机器视觉的铝型材表面缺陷检测方法
其他题名: Aluminum profile surface defect detecting method based on machine vision
作者: 周晓锋; 张宜弛; 吴阳; 史海波
所属部门: 数字工厂研究室
专利权人: 中国科学院沈阳自动化研究所
专利代理: 沈阳科苑专利商标代理有限公司 21002
专利国别: 中国
专利类型: 发明
专利状态: 实审
摘要: 本发明提供了一种基于机器视觉的铝型材表面缺陷检测方法,包括铝型材区域划分以及铝型材表面缺陷检测并上传缺陷信息及图片,划分的铝型材区域包括纹理区域和非纹理区域。本发明方法基于机器视觉和计算机技术,实现了铝型材表面缺陷的实时检测,与现有的人工缺陷检测相比,能更方便、快速、准确的定位缺陷部位,提高检测效率,大大减少人力投入,降低企业在生产过程中的成本;同时避免人的主观因素造成的干扰,维护企业信誉。
英文摘要: The invention provides an aluminum profile surface defect detecting method based on machine vision. The method comprises the steps of dividing an aluminum profile area, detecting aluminum profile surface defects and uploading defect information and pictures, wherein the divided aluminum profile area comprises a grained area and a non-grained area. The method realizes real-time detection of the aluminum profile surface defects based on machine vision and computer technology, and can be used for positioning the defect part more conveniently, quickly and accurately compared with existing artificial defect detection, so that the detection efficiency is improved, human input is greatly reduced, and the cost of an enterprise in the production process is reduced; and the method can avoid interference of human subjective factors and enterprise reputation can be maintained.
是否PCT专利:
申请日期: 2013-09-25
公开日期: 2015-03-25
专利申请号: CN201310442167.9
公布/公告号: CN104458748A
语种: 中文
产权排序: 1
内容类型: 专利
URI标识: http://ir.sia.cn/handle/173321/15913
Appears in Collections:数字工厂研究室_专利

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Recommended Citation:
周晓锋,张宜弛,吴阳,等. 基于机器视觉的铝型材表面缺陷检测方法. CN104458748A. 2015.
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