Image Segmentation Using An Optimum Thresholding Technique

Firooz Sadjadi; Rand Whillock; Mita Desai

doi:10.1117/12.937717

27 March 1987 Image Segmentation Using An Optimum Thresholding Technique

Firooz Sadjadi, Rand Whillock, Mita Desai

Proceedings Volume 0726, Intelligent Robots and Computer Vision V; (1987) https://doi.org/10.1117/12.937717
Event: Cambridge Symposium_Intelligent Robotics Systems, 1986, Cambridge, MA, United States

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.

Citation Download Citation

Firooz Sadjadi, Rand Whillock, and Mita Desai "Image Segmentation Using An Optimum Thresholding Technique", Proc. SPIE 0726, Intelligent Robots and Computer Vision V, (27 March 1987); https://doi.org/10.1117/12.937717

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