On the maximization of the crispness of 2D grayscale histogram for image thresholding

Qing Wang, Jing Xue, Rongchun Zhao, Zheru Chi, David Feng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

In this paper, a novel image thresholding approach based on the-crispness maximization of the 2D grayscale histogram is proposed. The threshold vector (T, S) is obtained-by an exhaustive searching algorithm. In this approach, the difference between these two components is guaranteed to be within a relatively small range. This cannot be achieved in fuzzy entropy based methods, such as Abuialeb, Brink's method. Experimental results show that our proposed approach not only performs well and effectively but also is more robust when applied to noisy images.
Original languageEnglish
Title of host publicationICSP 2002 - 2002 6th International Conference on Signal Processing, Proceedings
PublisherIEEE
Pages981-984
Number of pages4
Volume2
ISBN (Electronic)0780374886
DOIs
Publication statusPublished - 1 Jan 2002
Event6th International Conference on Signal Processing, ICSP 2002 - China Resouces Hotel, Beijing, China
Duration: 26 Aug 200230 Aug 2002

Conference

Conference6th International Conference on Signal Processing, ICSP 2002
CountryChina
CityBeijing
Period26/08/0230/08/02

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Science Applications

Cite this