Laplacian Operator-Based Edge Detectors 论文
2007IEEE Transactions on Pattern Analysis and Machine Intelligence引用 290
Image and Signal Denoising MethodsMedical Image Segmentation TechniquesImage and Object Detection Techniques
摘要
Laplacian operator is a second derivative operator often used in edge detection. Compared with the first derivative-based edge detectors such as Sobel operator, the Laplacian operator may yield better results in edge localization. Unfortunately, the Laplacian operator is very sensitive to noise. In this paper, based on the Laplacian operator, a model is introduced for making some edge detectors. Also, the optimal threshold is introduced for obtaining a Maximum a Posteriori (MAP) estimate of edges.