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Proceedings Paper

On edge detector using local histogram analysis
Author(s): Abdelmagid Khalil; Amar Aggoun; Ahmed El-Mabrouk
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Paper Abstract

The objectives of this paper is to present a novel edge extraction algorithm, based on differentiation of the local histograms of small non-overlapping blocks of the output of the first derivative of a narrow 2D Gaussian filter. It is shown that the proposed edge extraction algorithm provides the best trade off between noise rejection and accurate edge localisation and resolution. The proposed edge detection algorithm starts by convolving the image with a narrow 2D Gaussian smoothing filter to minimise the edge displacement, and increase the resolution and detectability. Processing of the local histogram of small non-overlapping blocks of the edge map is carried out to perform an additional noise rejection operation and automatically determine the local thresholds. The results obtained with the proposed edge detector are compared to the Canny edge detector

Paper Details

Date Published: 23 June 2003
PDF: 11 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.503023
Show Author Affiliations
Abdelmagid Khalil, De Montfort Univ. (United Kingdom)
Amar Aggoun, De Montfort Univ. (United Kingdom)
Ahmed El-Mabrouk, De Montfort Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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