New automatic threshold selection algorithm for edge detection

Amar Aggoun; Mohammad K. Ibrahim; Mohammad Farhang Daemi

doi:10.1117/12.150156

20 August 1993 New automatic threshold selection algorithm for edge detection

Amar Aggoun, Mohammad K. Ibrahim, Mohammad Farhang Daemi

Proceedings Volume 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques; (1993) https://doi.org/10.1117/12.150156
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

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.

Citation Download Citation

Amar Aggoun, Mohammad K. Ibrahim, and Mohammad Farhang Daemi "New automatic threshold selection algorithm for edge detection", Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); https://doi.org/10.1117/12.150156

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