Optimum image thresholding via class uncertainty and region homogeneity
Article Properties
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DOI (url)
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Publication Date2001/07/01
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Indian UGC (journal)
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Refrences39
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Citations99
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P.K. Saha
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J.K. Udupa
Cite
Saha, P.K., and J.K. Udupa. “Optimum Image Thresholding via Class Uncertainty and Region Homogeneity”. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 7, 2001, pp. 689-06, https://doi.org/10.1109/34.935844.
Saha, P., & Udupa, J. (2001). Optimum image thresholding via class uncertainty and region homogeneity. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(7), 689-706. https://doi.org/10.1109/34.935844
Saha, P.K., and J.K. Udupa. “Optimum Image Thresholding via Class Uncertainty and Region Homogeneity”. IEEE Transactions on Pattern Analysis and Machine Intelligence 23, no. 7 (2001): 689-706. https://doi.org/10.1109/34.935844.
Saha P, Udupa J. Optimum image thresholding via class uncertainty and region homogeneity. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2001;23(7):689-706.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Near-Automatic Segmentation and Quantification of Mammographic Glandular Tissue Density | 1999 | |||
| A new method for grey-level picture thresholding using the entropy of the histogram | Signal Processing |
| 316 | 1980 |
| Maximum Entropy Segmentation Based on the Autocorrelation Function of the Image Histogram | 1994 | |||
| A Threshold Selection Method from Gray-Level Histogram | 1978 | |||
| A Threshold Selection Method from Gray-Level Histogram | 1995 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Microscopic image segmentation approach based on modified affinity propagation-based clustering | Multimedia Tools and Applications |
| 2024 | |
| Comparative Study of Segmentation Techniques for Basal Ganglia Detection Based on Positron Emission Tomography Images | SN Computer Science | 2024 | ||
Wide-band fluctuations of solar active regions probed with SHARP magnetograms | Astronomy & Astrophysics |
| 2024 | |
| A dimension and positioning measurement approach for hot forgings based on image segmentation by edgings of grayscale surface continuity | The International Journal of Advanced Manufacturing Technology |
| 2023 | |
| Brain tissue segmentation in neurosurgery: a systematic analysis for quantitative tractography approaches | Acta Neurologica Belgica |
| 1 | 2023 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 50
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A dynamically coupled neural oscillator network for image segmentation and was published in 2002. The most recent citation comes from a 2024 study titled Comparative Study of Segmentation Techniques for Basal Ganglia Detection Based on Positron Emission Tomography Images. This article reached its peak citation in 2014, with 13 citations. It has been cited in 68 different journals, 7% of which are open access. Among related journals, the Multimedia Tools and Applications cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.