20 August 1993 New automatic threshold selection algorithm for edge detection
Author Affiliations +
Proceedings Volume 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques; (1993); doi: 10.1117/12.150156
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Amar Aggoun, Mohammad K. Ibrahim, 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); doi: 10.1117/12.150156; https://doi.org/10.1117/12.150156

Edge detection


Detection and tracking algorithms

Robot vision

Computer vision technology

Image compression

Image segmentation


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