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基于数学形态学的气泡水平尺自动检测系统研究
引用本文:喻婷,朱善安. 基于数学形态学的气泡水平尺自动检测系统研究[J]. 机电工程, 2017, 34(3): 213-218. DOI: 10.3969/j.issn.1001-4551.2017.03.001
作者姓名:喻婷  朱善安
作者单位:浙江大学电气工程学院,浙江杭州,310027
基金项目:浙江东方精工水平尺自动检测校准平台软件开发项目
摘    要:针对气泡水平尺的自动检测问题,对机器视觉领域的边缘提取、轮廓跟踪等算法进行了研究,提出了一种基于数学形态学与轮廓跟踪的气泡水平尺自动检测方法。引入了快速中值滤波算法和多线程工具对工业相机拍摄的水平尺气泡图像进行了滤波处理,以提高中值滤波算法的运算效率,使用了模糊最小化形态学梯度对气泡图像进行处理,以得到气泡的边缘信息。同时针对该应用场合,分析了气泡边缘图像的灰度剖面特性得到左、右平行参考线的位置,结合目标邻域点法搜索气泡端点来对气泡位置进行了搜索,得到了气泡偏移距离,从而实现了高效率高准确度的气泡水平尺偏移实时检测。研究结果表明,该方法在保证结果准确的同时,能够极大提高计算速度,并且计算结果能极好地适应光照变化。

关 键 词:图像处理  气泡水平尺  数学形态学  轮廓跟踪

Automatic level bar inspection system based on mathematical morphology
YU Ting,ZHU Shan-an. Automatic level bar inspection system based on mathematical morphology[J]. Mechanical & Electrical Engineering Magazine, 2017, 34(3): 213-218. DOI: 10.3969/j.issn.1001-4551.2017.03.001
Authors:YU Ting  ZHU Shan-an
Abstract:Aiming at the automatic inspection of the level bar,the edge detecting and contour tracking algorithm in the field of machine vision were studied,and an automatic detection method for the lever bar based on mathematical morphology and contour tracking was proposed.In order to improve the efficiency of the median filter algorithm,a fast median filter algorithm and multithreading tool were used to deal with the image of the bubble in the level bar taken by the industrial camera.In order to get the edge information of the bubble,the fuzzy minimization morphological gradient was introduced to deal with the image of the bubble.Aiming at this application,grayscale profile of the image was analyzed toposition theparallel reference lines,and the target neighborhood point method is used to search the position of bubble around vertices,and calculate the deviation of the bubble,so as to achieve high-efficiency and high-accuracy deviation detection of the level bar.The result indicates that the proposed method can greatly improve the calculating speed while ensuring accurate results at the same time,and can well adapt to the light changes.
Keywords:image processing  level bar  mathematical morphology  contour tracking
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