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Proceedings Paper

Image Segmentation Using An Optimum Thresholding Technique
Author(s): Firooz Sadjadi; Rand Whillock; Mita Desai
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Paper Abstract

One of the main problems in image segmentation is the proper selection of thresholds. In this paper a procedure for optimum threshold selection is described. Threshold levels are chosen in such a way that the expected value of the overall segmentation error is minimized. Segmentation error is defined as some function of the error between the input image and the segmentation output. A set of equations is derived for the parameters of the segmentation and a solution for them is indicated. Experimental results are presented. Results of this technique have potential significance in many areas of computer vision and robotics.

Paper Details

Date Published: 27 March 1987
PDF: 5 pages
Proc. SPIE 0726, Intelligent Robots and Computer Vision V, (27 March 1987); doi: 10.1117/12.937717
Show Author Affiliations
Firooz Sadjadi, Honeywell Systems and Research Center (United States)
Rand Whillock, Honeywell Systems and Research Center (United States)
Mita Desai, Honeywell Systems and Research Center (United States)

Published in SPIE Proceedings Vol. 0726:
Intelligent Robots and Computer Vision V
David P. Casasent, Editor(s)

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