Open AccessContrast enhancement of medical images using a new version of the World Cup Optimization algorithm
Author(s) -
Yuanping Zhou,
Shi Chang-qin,
Bingyan Lai,
Giorgos Jimenez
Publication year - 2019
Publication title -
quantitative imaging in medicine and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 21
eISSN - 2223-4292
pISSN - 2223-4306
DOI - 10.21037/qims.2019.08.19
Subject(s) - computer science , contrast (vision) , entropy (arrow of time) , algorithm , gamma correction , contrast enhancement , enhanced data rates for gsm evolution , image quality , image enhancement , homogeneity (statistics) , image (mathematics) , artificial intelligence , mathematical optimization , mathematics , machine learning , medicine , physics , quantum mechanics , magnetic resonance imaging , radiology
In this paper, a new method for optimal enhancement of the contrast of a medical image is proposed. The main idea is to improve the Gamma correction method to enhance and highlight the image information and the details based on a new design of the World Cup Optimization (WCO) algorithm. Gamma correction is a suitable method for contrast enhancement with an efficiency that directly depends on the correct selection of the Gamma coefficient.