Differential histogram equalization based image simplification

Yi Ta Wu, Frank Y. Shih, Yih Tyng Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Image simplification is an important pre-processing task in object segmentation and recognition. The histogram-based approach is the simplest way of image simplification. However, it is difficult to find a general rule of obtaining the proper threshold for all different cases. Recently, the research on image simplification using morphology seems to achieve a better performance. Nevertheless, the quality of simplification results relies on the selection of maskers obtained from complicated morphological operations. In this paper, we present a new perspective view based on differential histogram equalization (DHE) in image simplification. It is developed to not only generate better quality results, but possess lower computational complexity.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Electro Information Technology
Pages344-349
Number of pages6
DOIs
StatePublished - Dec 1 2006
Event2006 IEEE International Conference on Electro Information Technology - East Lansing, MI, United States
Duration: May 7 2006May 10 2006

Publication series

Name2006 IEEE International Conference on Electro Information Technology

Other

Other2006 IEEE International Conference on Electro Information Technology
Country/TerritoryUnited States
CityEast Lansing, MI
Period5/7/065/10/06

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Biomedical Engineering
  • Automotive Engineering

Keywords

  • Histogram equalization
  • Image representation
  • Image simplification
  • Segmentation

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