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Image segmentation by histogram thresholding using fuzzy sets

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2 Author(s)
Tobias, Orlando J. ; Dept. of Electr. Eng., Fed. Univ. of Santa Catarina, Brazil ; Seara, R.

Methods for histogram thresholding based on the minimization of a threshold-dependent criterion function might not work well for images having multimodal histograms. We propose an approach to threshold the histogram according to the similarity between gray levels. Such a similarity is assessed through a fuzzy measure. In this way, we overcome the local minima that affect most of the conventional methods. The experimental results demonstrate the effectiveness of the proposed approach for both bimodal and multimodal histograms.

Published in:

Image Processing, IEEE Transactions on  (Volume:11 ,  Issue: 12 )

Date of Publication:

Dec 2002

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