Chapter

Knowledge-Based Intelligent Information and Engineering Systems

Volume 3213 of the series Lecture Notes in Computer Science pp 772-778

Rough Set Based Image Texture Recognition Algorithm

  • Zheng ZhengAffiliated withKey Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of SciencesGraduate School of the Chinese Academy of Sciences
  • , Hong HuAffiliated withKey Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences
  • , Zhongzhi ShiAffiliated withKey Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences

* Final gross prices may vary according to local VAT.

Get Access

Abstract

Rough set theory is emerging as a new tool for dealing with fuzzy and uncertain data. In recent years, it has been successfully applied in such fields as machine learning, data mining, knowledge acquiring, etc. In this paper, rough set theory is applied to image texture recognition. Based on rough set and generalized approximate space, we develop a rough set based image texture recognition algorithm. We compare it with some other algorithms and the results show that our algorithm is effective and efficient.

Keywords

Rough Set Approximate Space Image Texture