Title :
Laplacian Operator-Based Edge Detectors
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan
fDate :
5/1/2007 12:00:00 AM
Abstract :
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
Keywords :
Laplace equations; edge detection; Laplacian operator; edge detection; edge localization; maximum a posteriori; optimal threshold; Application software; Biomedical imaging; Computer vision; Detectors; Image edge detection; Laplace equations; Low pass filters; Medical robotics; Nonlinear filters; Smoothing methods; Laplacian operator; LoG operator; edge detection.; multistage median filter; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Pattern Recognition, Automated;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2007.1027
