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Cited by 406

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Image segmentation by histogram thresholding using fuzzy sets

Tobias, O.J., Rui Seara·2002·IEEE Transactions on Image Processing

Abstract

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.

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Metadata

Authors
Tobias, O. J., & Seara, R.
Venue
IEEE Transactions on Image Processing
Published
2002-12
Volume
11
Issue
12
Pages
1457-1465
ISSN
1057-7149 (ISSN-L)
OpenAlex
W2163884840
Cited by
406
References
13
FWCI
0.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Image segmentation by histogram thresholding using fuzzy sets. https://app.cochat.ai/papers/10.1109/tip.2002.806231
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Tobias, O. J., & Seara, R. (2002). Image segmentation by histogram thresholding using fuzzy sets. IEEE Transactions on Image Processing. https://doi.org/10.1109/tip.2002.806231

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.