传统的图像边缘检测算法的分析与比较

The Analysis and Comparison of the Traditional Image Edge Detection Optimization

图像的边缘检测技术在数字图像处理当中是最重要的内容之一，是图像分割、目标区域识别、区域形状提取等图像分析领域的基础。该文分析了传统边缘检测算子的理论和特点，通过madab仿真实验，总结各算子进行边缘检测的优缺点。在数字图像处理和分析当中，寻求一种融简单、精确、抗噪能力强为一体的方法依然是非常重要的研究方向。

Image Edge Detection is one of the most important part of image digital processing, which is the basis of image segmentation, target identification, extraction of shape and so on. This thesis analyses the theories and features of the traditional image edge operators, and summarizes the advantages and the disadvantages of the operators via MATLAB simulation experiment. In the image digital processing and analysis, it is very important to seek for a simple, accurate and anti-noise method.