[1]周赵琪,丁明玥,朱晴晴,等. 316L不锈钢电解抛光的MATLAB图像定量分析 [J].电镀与精饰,2024,(1):97-104.[doi:10.3969/j.issn.1001-3849.2024.01.015]
　Zhou Zhaoqi,Ding Mingyue,Zhu Qingqing,et al.MATLAB image quantitative analysis for 316L stainless steel electrolytic polishing[J].Plating & Finishing,2024,(1):97-104.[doi:10.3969/j.issn.1001-3849.2024.01.015]
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316L不锈钢电解抛光的MATLAB图像定量分析
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《电镀与精饰》[ISSN:1001-3849/CN:12-1096/TG]

卷:
期数:
2024年1
页码:
97-104
栏目:
出版日期:
2024-01-15

文章信息/Info

Title:
MATLAB image quantitative analysis for 316L stainless steel electrolytic polishing
作者:
（上海应用技术大学 化学与环境工程学院，上海 201418）
Author(s):
（School of Chemical and Environmental Engineering， Shanghai Institute of Technology，
Shanghai 201418， China）
关键词:
图像定量分析;  MATLAB GUI ; 点蚀; 电解抛光;  316L 不锈钢
Keywords:
image quantitative analysis ;  MATLAB GUI ;  pitting ;  electrolytic polishing ;  316L stainless steel
分类号:
TQ153.5
DOI:
10.3969/j.issn.1001-3849.2024.01.015
文献标志码:
A
摘要:
基于机器视觉的不锈钢表面无损检测方法正受到工业界关注并得到研究人员的探索与开发。本研究使用 MATLAB 对电解抛光的 316L 不锈钢表面金相图进行图像二值化处理，保留区域点蚀和过抛腐蚀区的黑色像素点和黑色区域，除去浅色划痕和不明显的凹凸区域。图像腐蚀处理选取半径为 3 个像素点的圆形结构元素为参数，去除图像噪声，增强图像黑色像素区域边界和对比度。选取图像的黑色像素占比和点蚀区域数量作为特征变量，并通过对特征变量进行测量和计数来评估抛光效果。在此基础上，借助 MATLAB GUI 编程平台开发了一个基于图像定量分析过程的抛光效果评估程序，应用该程序可快速获得 316L 不锈钢电解抛光材料点蚀定量数据，使金相图片分析数值化，弥补主观判断的不足。该方法得到的结果与基于探针式粗糙度测量的优化结果一致。
Abstract:
： The non-destructive testing method of stainless steel surface based on machine vision is attracting the attention of the industry and being explored and developed by researchers. In this study ， MATLAB was employed to perform image binarization processing on the metallographic image of electrolytic polished 316L stainless steel surfaces ， retaining dark pixel points and dark regions corresponding to localized pitting and over-polished corrosion areas ， while excluding light-colored scratches and less pronounced surface irregularities. The image erosion process selects a circular structural element with a radius of 3 pixels as a parameter to remove image noise and enhance the boundary and contrast of the black pixel area of the image. The proportion of black pixels and the number of pitting areas of the image are selected as characteristic variables ， and the polishing effect is evaluated by measuring and counting the characteristic variables. On this basis ， a polishing effect evaluation program based on image quantitative analysis process was developed with the help of MATLAB GUI programming platform. The application of this program can quickly obtain the quantitative analysis data of pitting corrosion of 316L stainless steel electrolytic polishing materials ， making the analysis of metallographic pictures numerical ， and making up for the lack of subjective judgment. The results obtained from this method are consistent with the optimized outcomes based on probe-based roughness measurements.

参考文献/References:



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备注/Memo

备注/Memo:
收稿日期： 2023-06-19 修回日期： 2023-08-14 作者简介： 周赵琪（ 1998 ―），女，硕士研究生， email ： 1669491836@qq.com * 通信作者： 汪玉，讲师，主要研究方向为基于人工智能技术的材料逆向设计， email ： yuwang@sit.edu.cn ；王振卫，副教授，主要研究方向为电镀与精饰， email ： wangzhenwei@sit.edu.cn 316L?/html>
更新日期/Last Update: 2024-01-07