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A new criterion for automatic multilevel thresholding

Jui-Cheng Yen, Fu-Juay Chang, Shyang Chang·1995·IEEE Transactions on Image Processing

Abstract

A new criterion for multilevel thresholding is proposed. The criterion is based on the consideration of two factors. The first one is the discrepancy between the thresholded and original images and the second one is the number of bits required to represent the thresholded image. Based on a new maximum correlation criterion for bilevel thresholding, the discrepancy is defined and then a cost function that takes both factors into account is proposed for multilevel thresholding. By minimizing the cost function, the classification number that the gray-levels should be classified and the threshold values can be determined automatically. In addition, the cost function is proven to possess a unique minimum under very mild conditions. Computational analyses indicate that the number of required mathematical operations in the implementation of our algorithm is much less than that of maximum entropy criterion. Finally, simulation results are included to demonstrate their effectiveness.

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Metadata

Authors
Yen, J.-C., Chang, F.-J., & Chang, S.
Venue
IEEE Transactions on Image Processing
Published
1995-03
Volume
4
Issue
3
Pages
370-378
ISSN
1057-7149 (ISSN-L)
OpenAlex
W2132725786
Cited by
933
References
0
FWCI
4.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A new criterion for automatic multilevel thresholding. https://app.cochat.ai/papers/10.1109/83.366472
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Yen, J.-C., Chang, F.-J., & Chang, S. (1995). A new criterion for automatic multilevel thresholding. IEEE Transactions on Image Processing. https://doi.org/10.1109/83.366472

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