中国激光, 2019, 46 (4): 0402007, 网络出版: 2019-05-09
基于机器视觉的铝合金激光清洗实时检测系统 
下载： 1196次
Machine Vision-Based Real-Time Monitor System for Laser Cleaning Aluminum Alloy
图 & 表
图 2. 滤波前后的图像。(a)未进行滤波处理;(b)中值滤波处理后(N设为3 pixel×3 pixel)
Fig. 2. Images before and after median filtering. (a) Before filtering; (b) after median filtering (N is set to 3×3)
图 3. 去光照算法处理前后的图像。(a)去光照算法处理前;(b)去光照算法处理后
Fig. 3. Images before and after processing with delighting algorithm. (a) Before processing with delighting algorithm; (b) after processing with delighting algorithm
图 4. 经分割、形态学方法处理后的图像。(a) Otus阈值分割后的图像;(b)经形态学方法处理后的图像;(c)去光照后的图像
Fig. 4. Images after segmentation and processing with morphological method. (a) Image after Otus threshold segmentation; (b) image after processing with morphological method; (c) image after delighting
图 5. 边缘检测效果图。(a)边缘图像;(b)连通域查找图像
Fig. 5. Effects of edge detection. (a) Edge image; (b) connected domain search image
图 6. 机器视觉方法的检测效果。(a)清洗不合格的样品表面;(b)机器视觉方法的检测结果(判定为清洗不合格);(c)判定为清洗不合格样品表面的EDS分析结果;(d)清洗合格的样品表面;(e)机器视觉方法的检测结果(判定为清洗合格);(f)评定为清洗合格样品表面的EDS分析结果
Fig. 6. Detection results obtained with machine vision method. (a) Unqualified sample surface; (b) detection result obtained with machine vision method(unqualified cleaning); (c) EDS analysis of unqualified sample surface; (d) qualified sample surface; (e) detection result obtained with machine vision method(qualified cleaning); (f) EDS analysis of qualified sample surface
表 16061铝合金的化学成分
Table1. Chemical composition of 6061 aluminum alloy
|
表 2原图像与去光照图像的客观评价结果
Table2. Objective evaluation of original image and the image processed with delighting algorithm
|
史天意, 周龙早, 王春明, 米高阳, 蒋平. 基于机器视觉的铝合金激光清洗实时检测系统[J]. 中国激光, 2019, 46(4): 0402007. Tianyi Shi, Longzao Zhou, Chunming Wang, Gaoyang Mi, Ping Jiang. Machine Vision-Based Real-Time Monitor System for Laser Cleaning Aluminum Alloy[J]. Chinese Journal of Lasers, 2019, 46(4): 0402007.
PDF全文
