Skip to content
Free planNo credit card requiredStart writing

article · IEICE Transactions on Information and Systems · 2008

Histogram Equalization-Based Thresholding

Sung-Min Kwon, Hye-Jin Jeong, Suk-T. Seo, In Keun Lee, Chang‐Sik Son

Cited by 8Open access

Abstract

The thresholding results for gray level images depend greatly on the thresholding method applied. However, this letter proposes a histogram equalization-based thresholding algorithm that makes the thresholding results insensitive to the thresholding method applied. Experimental results are presented to demonstrate the effectiveness of the proposed thresholding algorithm.

Cite this paper

APA 7

Kwon, S.-M., Jeong, H.-J., Seo, S.-T., Lee, I. K., & Son, C. (2008). Histogram Equalization-Based Thresholding. IEICE Transactions on Information and Systems, E91-D(11), 2751–2753. https://doi.org/10.1093/ietisy/e91-d.11.2751

MLA 9

Kwon, Sung-Min, et al. “Histogram Equalization-Based Thresholding.” IEICE Transactions on Information and Systems, vol. E91-D, no. 11, 2008, pp. 2751–53, https://doi.org/10.1093/ietisy/e91-d.11.2751.

Chicago

Kwon, Sung-Min, Hye-Jin Jeong, Suk-T. Seo, In Keun Lee, and Chang‐Sik Son. 2008. “Histogram Equalization-Based Thresholding.” IEICE Transactions on Information and Systems E91-D (11): 2751–53. https://doi.org/10.1093/ietisy/e91-d.11.2751.

Harvard

Kwon, S.-M. et al. (2008) ‘Histogram Equalization-Based Thresholding’, IEICE Transactions on Information and Systems, E91-D(11), pp. 2751–2753. Available at: https://doi.org/10.1093/ietisy/e91-d.11.2751.

BibTeX
@article{kwon2008histogram,
  title = {{Histogram Equalization-Based Thresholding}},
  author = {Kwon, Sung-Min and Jeong, Hye-Jin and Seo, Suk-T. and Lee, In Keun and Son, Chang‐Sik},
  journal = {IEICE Transactions on Information and Systems},
  volume = {E91-D},
  number = {11},
  pages = {2751--2753},
  year = {2008},
  doi = {10.1093/ietisy/e91-d.11.2751}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.