2008Journal of Electrical & Electronic EducationRequires access

A New Method of Edge Detection Based on the Laplacian Operator

Wen Ren

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Abstract

Laplacian operator is a second derivative operator,which can detect the edge by the zero-crossings in the second derivative. The Laplacian operator can detect the intensity abrupt change and get better result in edge localization,but it is sensitive to noise.In this paper,using max/min median filter,a new method based on the Laplacian operator-based edge detection model(EDM) is proposed,which can smooth noise while detecting the edges.Experimental results illustrate that the method has a good noise removing performance and can provide a satisfactory result in detecting edges.

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What this paper is about

Laplacian operator is a second derivative operator,which can detect the edge by the zero-crossings in the second derivative. The Laplacian operator can detect the intensity abrupt change and get better result in edge localization,but it is sensitive to noise.In this paper,using max/min median filter,a new method based on the Laplacian operator-based edge detection model(EDM) is proposed,which can smooth noise while detecting the edges.Experimental results illustrate that the method has a good noise removing performance and can provide a satisfactory result in detecting edges.

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Available abstract

Laplacian operator is a second derivative operator,which can detect the edge by the zero-crossings in the second derivative. The Laplacian operator can detect the intensity abrupt change and get better result in edge localization,but it is sensitive to noise.In this paper,using max/min median filter,a new method based on the Laplacian operator-based edge detection model(EDM) is proposed,which can smooth noise while detecting the edges.Experimental results illustrate that the method has a good noise removing performance and can provide a satisfactory result in detecting edges.

Key concepts: Laplace operator, Operator (biology), Edge detection, Noise (video), Enhanced Data Rates for GSM Evolution, Filter (signal processing), Mathematics, Laplacian smoothing

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