Granular computing, rough entropy and object extraction

  • Authors:

  • Sankar K. Pal;B. Uma Shankar;Pabitra Mitra

  • Affiliations:

  • Machine Intelligence Unit, Indian Statistical Institute, Calcutta 700 108, India;Machine Intelligence Unit, Indian Statistical Institute, Calcutta 700 108, India;Department of Computer Science and Engineering, Indian Institute of Technology, Kanpur 208 016, India

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2005

Quantified Score

Hi-index 0.10

Visualization

Abstract

The problem of image object extraction in the framework of rough sets and granular computing is addressed. A measure called ''rough entropy of image'' is defined based on the concept of image granules. Its maximization results in minimization of roughness in both object and background regions; thereby determining the threshold of partitioning. Methods of selecting the appropriate granule size and efficient computation of rough entropy are described.