图像边缘检测方法分析与研究

边缘是图像的重要特征,边缘检测在计算机视觉、图像分析等应用中起着重要作用,是图像目标检测中一个基础而又困难的问题,本文分析了常规的边缘检测方法及其特点,并用这些方法分别对原始图像和噪声图像进行了处理,处理的结果表明,Sobel、Roberts、Prewitt、Kirsch、LOG算子的图像处理效果各有利弊,它们在定位精度、噪声敏感度和复杂度之间存在互相抑制的关系。

Analysis and Research of Image Edge Detection Methods

The edge is an important signature of an image. The edge detection plays an important role in computer vision and image analysis and is also a basic and difficult problem in image target detection. In this paper, the conventional edge detection methods and their features are analyzed and these methods are used to process the original images and noise images respectively.The processing results show that the operators such as Sobel, Roberts, Prewitt, Kitsch and LOG have their advantages and disadvantages, and their location precision, noise sensitivity and complexity are restrained one another.