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Proceedings Paper

New automatic threshold selection algorithm for edge detection
Author(s): Amar Aggoun; Mohammad K. Ibrahim; Mohammad Farhang Daemi
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Paper Abstract

In this paper, a novel approach is proposed for selecting the thresholds of edge strength maps from its local histogram. This threshold selection technique is based on finding the threshold for small blocks of the edge map. For each block the threshold is chosen using an iterative procedure. The effect of the choice of the size of the block is discussed. In this paper, the edge strength map is quantized to reduce the computation of the iterative threshold selection algorithm as well as the memory requirement. It is shown that the quantization of the edge map improves the performance of the local iterative threshold selection algorithm. Typical examples of the tests carried out are presented.

Paper Details

Date Published: 20 August 1993
PDF: 12 pages
Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); doi: 10.1117/12.150156
Show Author Affiliations
Amar Aggoun, Univ. of Nottingham (United Kingdom)
Mohammad K. Ibrahim, Univ. of Nottingham (United Kingdom)
Mohammad Farhang Daemi, Univ. of Nottingham (United Kingdom)

Published in SPIE Proceedings Vol. 2055:
Intelligent Robots and Computer Vision XII: Algorithms and Techniques
David P. Casasent, Editor(s)

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