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An improved threshold selection method for image segmentation

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2 Author(s)
Xue Dong Yang ; Dept. of Comput. Sci., Regina Univ., Sask., Canada ; Gupta, V.

An unsupervised optimal multi-threshold selection scheme for image segmentation is presented. This method is clearly an improvement on two existing methods, namely, Otsu's (1979) optimal multi-threshold method and Wang's (1991) threshold hierarchy method. The histogram is divided into different classes using interval tree structure by thresholding the histogram at different scale levels σ of Gaussian convolution. The different histogram dominant modes are then fitted by a Gaussian distribution and the intersection of these Gaussian curves are new threshold points for the image

Published in:

Electrical and Computer Engineering, 1993. Canadian Conference on

Date of Conference:

14-17 Sep 1993