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Proceedings Paper

Automatic edge thresholding algorithm
Author(s): Amar Aggoun; Ahmed El-Mabrouk
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Paper Abstract

An automatic edge thresholding approach, based on investigation of local histograms of small nonoverlapping blocks of the quantized edge magnitude, is proposed. The edge magnitude is first quantized then divided into small nonoverlapping blocks. A threshold for each block is chosen using an iterative procedure. In this paper the effect of the choice of the quantizer is investigated using a quantitative measure. The performance of three quantizers is studied and compared to the result obtained without quantization of the gradient image and to previously reported method for automatic threshold selection for edge detection.

Paper Details

Date Published: 22 December 1997
PDF: 6 pages
Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); doi: 10.1117/12.295627
Show Author Affiliations
Amar Aggoun, De Montfort Univ. (United Kingdom)
Ahmed El-Mabrouk, De Montfort Univ. (United Kingdom)


Published in SPIE Proceedings Vol. 3217:
Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing
Jacky Desachy; Shahram Tajbakhsh, Editor(s)

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