| 基于机器视觉技术的机械零件表面损伤检测 |
| |
| 引用本文： | 阮宝科,王强,张梅军,廖明.基于机器视觉技术的机械零件表面损伤检测[J].机械工程师,2003(8):52-54. |
| |
| 作者姓名： | 阮宝科 王强 张梅军 廖明 |
| |
| 作者单位： | 解放军理工大学工程兵工程学院,江苏,南京,210007 |
| |
| 摘 要： | 在简要介绍了机器视觉技术的发展和原理的基础上，探索性地将机器视觉技术引入机械零件的损伤检测领域。结合实例，通过对比损伤部位与正常部位的色彩特征，检测损伤部位，并借助梯度算法，给出了破损部位面积的计算方法，改进了长期以来对零件表面损伤依赖于人的主观判断的状况，提出了一种科学高效的检测手段。
|
| 关 键 词： | 零件损伤 机器视觉 坏损区域 色彩特征 损伤检测 |
| 文章编号： | 1002-2333(2003)08-0052-03 |
| 修稿时间： | 2003年3月10日 |
Study on the Wear Condition Examination of Mechanical Units Based On Machine Vision |
| |
| RUAN Bao-ke,WANG Qiang,ZHANG Mei-jun,LIAO Miang.Study on the Wear Condition Examination of Mechanical Units Based On Machine Vision[J].Mechanical Engineer,2003(8):52-54. |
| |
| Authors: | RUAN Bao-ke WANG Qiang ZHANG Mei-jun LIAO Miang |
| |
| Abstract: | Based on the Introduction of development and principle of machine vision,machine vision was brought into the examination about wear condition of mechanical units.Through compare the color of damaged parts and the normal parts,damaged parts was found out;then bring forward the method of arithmetic area of damaged part.Improve the condtion of subjective judgment towards the units wear,bring forward a efficient examjina-tion means. |
| |
| Keywords: | units wear machine vision damaged district color characteristic |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
