A Medical Image Enhancement Algorithm Based on Fuzzy Set Theory and Its GUI Implementation

DOI

10.2991/jimec-16.2016.15How to use a DOI?

Keywords

Fuzzy Set; Medical Image; Enhancement; GUI

Abstract

In this paper, a medical image enhancement algorithm based on fuzzy set theory is proposed. The algorithm takes the Pal-King fuzzy enhancement algorithm as the basis, and using one kind of sinusoidal function as the improved membership function to solve the problem of low gray information loss. This membership function has the adjustable parameter k, which can change the shape of the function according to the processing needs. The algorithm has been simulated in the MATLAB environment, and the graphical user interface is designed for it. Experiments show that the algorithm can effectively enhance the brightness and contrast of the medical image, highlight the edge and details of the image, and has a certain application value and significance.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wen He
PY  - 2016/10
DA  - 2016/10
TI  - A Medical Image Enhancement Algorithm Based on Fuzzy Set Theory and Its GUI Implementation
BT  - Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering
PB  - Atlantis Press
SP  - 86
EP  - 90
SN  - 2352-5401
UR  - https://doi.org/10.2991/jimec-16.2016.15
DO  - 10.2991/jimec-16.2016.15
ID  - He2016/10
ER  -