Review on image segmentation based on entropy

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15 Citations (Scopus)

Abstract

The image segmentation based on entropy is analyzed and reviewed including one-dimensional maximum entropy, minimum cross entropy, maximum cross entropy and so on. The relations of Shannon entropy, Tsallis entropy and Renyi entropy are analyzed and commented, and the performance of two dimensional (high dimension) entropy and spatial entropy is also appraised. In conclusion, it points out the future research direction, such as the computational efficiency of the high-dimensional entropy model and one-dimensional entropy and other theories integrated.
Original languageEnglish
Pages (from-to)958-971
Number of pages14
JournalMoshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence
Volume25
Issue number6
Publication statusPublished - 1 Dec 2012
Externally publishedYes

Keywords

  • Boltzmann entropy
  • Cross entropy
  • Image segmentation
  • Spatial entropy
  • Two dimensional (high dimentional) entropy

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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