NDLI: Laplacian Operator-Based Edge Detectors

Content Provider	IEEE Xplore Digital Library
Author	Xin Wang
Copyright Year	1979
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
Sponsorship	IEEE Computer Society
Page Count	5
File Size	753876
Starting Page	886
Ending Page	890
File Format	PDF
ISSN	01628828
Volume Number	29
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laplace equations Image edge detection Detectors Computer vision Low pass filters Smoothing methods Nonlinear filters Application software Biomedical imaging Medical robotics edge detection. Laplacian operator LoG operator multistage median filter
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Computational Theory and Mathematics Computer Vision and Pattern Recognition Software

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Laplacian Operator-Based Edge Detectors