Evaluation of global thresholding techniques in non-contextual edge detection

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Medina-Carnicer, R., et al. “Evaluation of Global Thresholding Techniques in Non-Contextual Edge Detection”. Pattern Recognition Letters, vol. 26, no. 10, 2005, pp. 1423-34, https://doi.org/10.1016/j.patrec.2004.11.024.
Medina-Carnicer, R., Madrid-Cuevas, F., Fernández-García, N., & Carmona-Poyato, A. (2005). Evaluation of global thresholding techniques in non-contextual edge detection. Pattern Recognition Letters, 26(10), 1423-1434. https://doi.org/10.1016/j.patrec.2004.11.024
Medina-Carnicer, R., F.J. Madrid-Cuevas, N.L. Fernández-García, and A. Carmona-Poyato. “Evaluation of Global Thresholding Techniques in Non-Contextual Edge Detection”. Pattern Recognition Letters 26, no. 10 (2005): 1423-34. https://doi.org/10.1016/j.patrec.2004.11.024.
Medina-Carnicer R, Madrid-Cuevas F, Fernández-García N, Carmona-Poyato A. Evaluation of global thresholding techniques in non-contextual edge detection. Pattern Recognition Letters. 2005;26(10):1423-34.
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Refrences
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  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2002
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Refrences Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 5 is the most frequently represented among the references in this article. It primarily includes studies from Pattern Recognition and IEEE Transactions on Signal Processing. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
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A Low Redundancy Wavelet Entropy Edge Detection Algorithm

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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
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Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 13 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Extrapolative Spatial Models for Detecting Perceptual Boundaries in Colour Images and was published in 2006. The most recent citation comes from a 2021 study titled A Low Redundancy Wavelet Entropy Edge Detection Algorithm. This article reached its peak citation in 2011, with 3 citations. It has been cited in 12 different journals, 8% of which are open access. Among related journals, the Pattern Recognition cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year