摘要
针对传统零件边缘检测方法中存在的边缘不连续、不清晰的问题,研究了图像边缘检测算法的抗噪性、边缘连续性和边缘细节的完整性,在分析、研究了传统拉普拉斯算法高效优点的基础上,提出了一种新的算法,即圆周拉普拉斯算法。针对采集到的齿轮和手表零件图片,设计了边缘轮廓提取的实验:采用圆周拉普拉斯算法对图片进行了边缘锐化,得到了初步的零件边缘;再运用数学形态学算法对提取的边缘图像进行了去噪,得到了边缘清晰、轮廓完整的零件边缘检测图像。研究结果表明:圆周拉普拉斯算法能够保留传统算法中高效性的特点,同时检测出零件边缘的完整细节;针对图像中的噪声所采用的形态学算法,能有效去除图像中的无效信息。
Aiming at the problem of discontinuous and unclear edges in the traditional part edge detection method,the anti-noise,edge continuity,and integrity of edge details of the image edge detection algorithm were studied.The efficiency of the traditional Laplacian algorithm was analyzed and studied.Based on the advantages,a new algorithm was adopted,namely the circular Laplacian algorithm.For the collected pictures of gears and watch parts,an experiment of edge contour extraction was designed.The peripheral Laplace algorithm was used to sharpen the edges of the picture to obtain the preliminary edge of the part.Then the mathematical morphology algorithm was used to denoise the extracted edge image to obtain a part edge detection image with clear edges and complete contours.The experimental results show that the circular Laplacian algorithm can retain the high-efficiency characteristics of the traditional algorithm while detecting the complete details of the edge of the part,and the morphological algorithm which is used for the noise in the image can effectively remove the invalid information in the image.
作者
戴乔森
何毅斌
陈宇晨
刘湘
贺苏逊
吴琳慧
杜伟
汪强
DAI Qiao-sen;HE Yi-bin;CHEN Yu-chen;LIU Xiang;HE Su-xun;WU Lin-hui;DU Wei;WANG Qiang(College of Mechanical and Electrical Engineering,Wuhan Institute of Technology,Wuhan 430073,China)
出处
《机电工程》
CAS
北大核心
2021年第1期98-102,共5页
Journal of Mechanical & Electrical Engineering
基金
湖北省科技厅重大专项资助项目(2016AAA056)
化工装备强化与本质安全湖北省重点实验室开放基金资助项目(2018KA01)
武汉工程大学研究生教育创新基金资助项目(CX2019241)。
关键词
边缘检测
圆周拉普拉斯算法
旋转不变性
数学形态学
edge detection
circular Laplace algorithm
rotation invariance
mathematical morphology
