Unimodal thresholding for edge detection
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2008/07/01
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Journal
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Indian UGC (journal)
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Refrences22
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Citations28
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R. Medina-Carnicer
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F.J. Madrid-Cuevas
Cite
Medina-Carnicer, R., and F.J. Madrid-Cuevas. “Unimodal Thresholding for Edge Detection”. Pattern Recognition, vol. 41, no. 7, 2008, pp. 2337-46, https://doi.org/10.1016/j.patcog.2007.12.007.
Medina-Carnicer, R., & Madrid-Cuevas, F. (2008). Unimodal thresholding for edge detection. Pattern Recognition, 41(7), 2337-2346. https://doi.org/10.1016/j.patcog.2007.12.007
Medina-Carnicer, R., and F.J. Madrid-Cuevas. “Unimodal Thresholding for Edge Detection”. Pattern Recognition 41, no. 7 (2008): 2337-46. https://doi.org/10.1016/j.patcog.2007.12.007.
1.
Medina-Carnicer R, Madrid-Cuevas F. Unimodal thresholding for edge detection. Pattern Recognition. 2008;41(7):2337-46.
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 |
|---|---|---|---|---|
| Evaluation of global thresholding techniques in non-contextual edge detection | Pattern Recognition Letters |
| 16 | 2005 |
| Robust and automated unimodal histogram thresholding and potential applications | Pattern Recognition |
| 44 | 2004 |
| Learning to detect natural image boundaries using local brightness, color, and texture cues | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| 2004 | |
| Characterization of empirical discrepancy evaluation measures | Pattern Recognition Letters |
| 30 | 2004 |
| Hyperbolic wavelet power spectra of nonstationary signals | Optical Engineering |
| 20 | 2003 |
Refrences Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 10
is the most frequently represented among the references in this article. It primarily includes studies from IEEE Transactions on Pattern Analysis and Machine Intelligence and Machine Vision and Applications. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Tuberculin skin test result detection method based on CSN-II and improved OTSU method | Measurement |
| 2024 | |
| A robust edge detection technique based on Matching Pursuit algorithm for natural and medical images | Biomedical Engineering Advances | 2 | 2022 | |
| Investigation of butterfly optimization and gases Brownian motion optimization algorithms for optimal multilevel image thresholding | Expert Systems with Applications |
| 18 | 2021 |
| Separate degree based Otsu and signed similarity driven level set for segmenting and counting anthrax spores | Computers and Electronics in Agriculture |
| 17 | 2020 |
High Empirical Study of Edge Detection-Based Image Denoising Corrupted by the Additive White Gaussian Noise (WGN) | IOP Conference Series: Materials Science and Engineering | 2020 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 19
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled 2D versus 3D in the kinematic analysis of the horse at the trot and was published in 2008. The most recent citation comes from a 2024 study titled Tuberculin skin test result detection method based on CSN-II and improved OTSU method. This article reached its peak citation in 2011, with 6 citations. It has been cited in 19 different journals, 15% of which are open access. Among related journals, the Pattern Recognition cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.