Laplacian Operator-Based Edge Detectors

Author

Xin Wang

Author_Institution

Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan

Volume

29

Issue

5

fYear

2007

fDate

5/1/2007 12:00:00 AM

Firstpage

886

Lastpage

890

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;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/TPAMI.2007.1027

Filename

4135681