基于腐蚀预处理的Reberts边缘检测

Reberts Edge Detection Based on Corrosion Pretreatment

图像的边缘检测已经应用于：国防、工业、医疗、交通等行业。但是获取图像意味着噪声的存在，为了能够准确的检测边缘，预处理尤为关键，预处理效果理想，能够抑制噪声，提高边缘检测的精度。该文应用自适应阈值预处理图像，对处理结果分别用Reberts、Sobel、Laplacian算法检测边缘；与腐蚀运算二次预处理后Reberts边缘检测分析、比较。

Edge detection of images has been applied to industries such as defence, industry, healthcare and transport. However, the acquisition of image means the existence of noise, and in order to be able to accurately detect the edge, the pretreatment is es- pecially critical, and the pretreatment effect is ideal, which can suppress the noise and improve the accuracy of edge detection. In this paper, adaptive threshold preprocessing images were used to detect the edges of the processing results by Reberts, Sobel and Laplacian algorithm. Analysis and comparison of Reberts edge detection after secondary pretreatment with corrosion operation.