基于小波去噪和机器视觉的边缘检测  

Edge Detection Based on Wavelet Decomposition and Labivew

作　　者：邢青青[1] 罗新斌[1] 

机构地区：[1]苏州有色金属研究院,江苏苏州215026

出　　处：《四川有色金属》2009年第1期20-22,35,共4页Sichuan Nonferrous Metals

摘　　要：边缘检测是图像分割、目标区域识别、区域形状提取等图像分析方法的基础,在实际工程应用中有着重要的地位。本文介绍了一种通过小波去噪,Sobel边缘检测算子提取边缘的方法,通过软件平台Labview实现。并通过实验证明这种方法抗噪能力极强,提取的边缘定位精确,程序结构合理。Edge Detection is the foundation of image segmentation, object region recognition and region shape extraction. It is important in reality application. In this paper there is a edge detection method through wavelet decomposition and Sobel operator edge detector, and it is implemented by Labview. The experiment result shows that the algorithm has a better immunity to the noise jamming of images and the edge position extracted by the algorithm is accurate, the structure of the procedure is rational.

关 键 词：边缘检测 小波去噪 SOBEL算子 LABVIEW 

分 类 号：TP806.1[自动化与计算机技术—检测技术与自动化装置]