On edge detector using local histogram analysis

Abdelmagid Khalil; Amar Aggoun; Ahmed El-Mabrouk

doi:10.1117/12.503023

23 June 2003 Edge detector using local histogram analysis

Abdelmagid Khalil, Amar Aggoun, Ahmed El-Mabrouk

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.503023
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

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

Citation Download Citation

Abdelmagid Khalil, Amar Aggoun, and Ahmed El-Mabrouk "Edge detector using local histogram analysis", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.503023

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