Image thresholding algorithm based on image gradient and fuzzy set distance

Xijuan Guo*, Huanhuan Zhang, Zheng Chang

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

13 Citations (Scopus)


Thresholding methods are widely used, in image segmentation because oftheir simplicity and efficiency. Most of the common thresholding methods have alot of dificulties when processing images which have unimodal histograms or lowgray level edge points. In this paper, we give a new membership function, a newfuzzy set distance definition, based on these definitions we propose a newthresholding algorithm. Experiment results in this paper show that the newalgorithm, is useful to threshold, unimodal images and, images with low graylevel edges. ICIC International

Original languageEnglish
Pages (from-to)1059-1063
Number of pages5
JournalICIC Express Letters
Issue number3
Publication statusPublished - 1 Jun 2010
MoE publication typeA1 Journal article-refereed


  • Fuzzy set distance
  • Image gradient
  • Image segmentation
  • Thresholding


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