A Review on the Rule-Based Filtering Structure with Applications on Computational Biomedical Images.

Journal: Journal of healthcare engineering
Published Date:

Abstract

In this paper, we present rule-based fuzzy inference systems that consist of a series of mathematical representations based on fuzzy concepts in the filtering structure. It is crucial for understanding and discussing different principles associated with fuzzy filter design procedures. A number of typical fuzzy multichannel filtering approaches are provided in order to clarify the different fuzzy filter designs and compare different algorithms. In particular, in most practical applications (i.e., biomedical image analysis), the emphasis is placed primarily on fuzzy filtering algorithms, with the main advantages of restoration of corrupted medical images and the interpretation capability, along with the capability of edge preservation and relevant image information for accurate diagnosis of diseases.

Authors

  • Xiao-Xia Yin
    Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, China.
  • Sillas Hadjiloucas
    Biomedical Engineering, School of Biological Sciences, University of Reading, Reading RG6 6AY, UK.
  • Le Sun
  • John W Bowen
    Biomedical Engineering, School of Biological Sciences, University of Reading, Reading RG6 6AY, UK.
  • Yanchun Zhang
    Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China.