An adaptive unimodal and hysteresis thresholding method

Yin Yu*, Zhen Li, Bing Liu, Xiangdong Liu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

This paper addresses the unimodal and hysteresis thresholding, where a pair of low and high thresholds is under investigation targeted with the unimodal image histogram. The novel bowstring is introduced to make an accurate priori -measurement of the overall tendency of the histogram. The dual-threshold is further computed by adaptively searching two tangent points corresponding to the properly defined transitional characteristics over the whole histogram. The effectiveness of this proposed algorithm is evaluated using the Baddeley’s discrepancy.

Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
EditorsLinqiang Pan, Tao Song, Gheorghe Păun, Mario J. Pérez-Jiménez
PublisherSpringer Verlag
Pages552-556
Number of pages5
ISBN (Electronic)9783662450482
DOIs
Publication statusPublished - 2014

Publication series

NameCommunications in Computer and Information Science
Volume472
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Keywords

  • Adaptive thresholding
  • Canny edge detector
  • Hysteresis thresholding
  • Image histogram
  • Unimodal thresholding

Fingerprint

Dive into the research topics of 'An adaptive unimodal and hysteresis thresholding method'. Together they form a unique fingerprint.

Cite this