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
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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Cites
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A Threshold Selection Method from Gray-Level Histograms
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A review on image segmentation techniques
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A new method for gray-level picture thresholding using the entropy of the histogram
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A survey of thresholding techniques
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Image thresholding by minimizing the measures of fuzziness
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An Analysis of Histogram-Based Thresholding Algorithms
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On the color image segmentation algorithm based on the thresholding and the fuzzy c-means techniques
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Cited by
An automated confirmatory system for analysis of mammograms
Peng, W., Mayorga, R. V., & Hussein, E. M. A. (2016) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2015.09.019 · Cited by 43
From Difference to Similarity: A Manifold Ranking-Based Hyperspectral Anomaly Detection Framework
Huang, Z., & Li, S. (2019) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2019.2918342 · Cited by 18
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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