计算机工程与应用Issue(3)：135-140,6.DOI:10.3778/j.issn.1002-8331.1204-0521
用于机器视觉的焊缝图像获取及图像处理
For machine vision image acquisition and image processing of weld
摘要
Abstract
This paper uses structure laser as the active light source. A narrowband filter weakens the arc light, which can improve SNR(Signal Noise Ratio)of image effectively. Experimental image only extracts the red component. The method strengthens the specific wavelengths and weakens others. This paper introduces an improved median filtering algorithm. The algorithm has three advantages. It effectively improves the performance of noise reduction. It retains the details of the image. The complexity of the algorithm is about O(N ) . The weak noise is eliminated by binarization. At the same time, the laser stripe is reserved. This paper adopts a multi-scale edge detection approach. This approach can better extract the complex image edge. When recognizing characteristic quantity, it can enhance fault-tolerant. When extracting location infor-mation of the horizontal section by black pixel accumulation algorithm, it can fix location for the stripes. The system can identify the weld information accurately and extract enough information, completing the weld tracking.关键词
图像处理/图像分割/边缘提取/特征点提取Key words
image processing/image segmentation/edge extraction/feature point extraction分类
矿业与冶金引用本文复制引用
刘燕,王刚,王国栋,李效力..用于机器视觉的焊缝图像获取及图像处理[J].计算机工程与应用,2014,(3):135-140,6.基金项目
天津市自然科学基金（No.07JCZDJC099000）。 （）
