| Paper Details: | Downloads: 608 |
| Serial Number: | P1150542102
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| Title: | A New Model for Edge Detection in Digital Images
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| Authors: | B. Bouda and L h. Masmoudi and D. Aboutajdine
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| Abstract: | Edge detection and feature extraction are widely used in image processing and computer vision applications. In this paper we propose a new model for detecting edges in digital images. The basic idea is to model the image as a grid of the electric charges of a plan surface in electrostatic balance and, to affect for each block of size 3x3 pixels, a negative sign to the pixels with gray levels greater than a calculating threshold. The method operates in two phases: the first one consists in establishing the neighbourhood forces exerting on the central pixel for each defined block of the image, and the second one determines the horizontal and vertical masks corresponding to the resulting forces followed by the convolution operation.
In order to validate and to illustrate the interest of the proposed approach, some experiments were made on a collection of synthetic and real images. As an objective quantitative measure, we have used Pratt's Figure of Merit to compare edge preservation performances to other methods.
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| Keywords: | Edge detection, Charge electrostatic, Figure of merit, Masks, Model
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| Journal/Conference: | International Journal of Graphics, Vision and Image Processing
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| Submission Date: | 8/1/2005 12:00:00 AM
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| Review Date: | 10/1/2005 12:00:00 AM
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| Publishing Date: | 12/19/2005 12:00:00 AM
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| Article Downloads: | 608
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