TY  - JOUR
AU  - Zhou, Yuanping
AU  - Shi, Changqin
AU  - Lai, Bingyan
AU  - Jimenez, Giorgos
PY  - 2019
TI  - Contrast enhancement of medical images using a new version of the World Cup Optimization algorithm
JF  - Quantitative Imaging in Medicine and Surgery; Vol 9, No 9 (September 25, 2019): Quantitative Imaging in Medicine and Surgery
Y2  - 2019
KW  - 
N2  - Background: 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.  Methods: In this study, a newly presented algorithm was employed for optimal selection of the Gamma value by considering the entropy, edge content, and multi-objective optimization.  Results: The simulation results were compared with 5 state of the art methods for presenting method efficiency. To do this, contrast, homogeneity, weighted average peak signal-to-noise ratio (WPSNR), measure of enhancement (EME), and contrast-to-noise ratio (CNR) were employed.  Conclusions: Final results denote that the presented multi-objective optimization algorithm improves the quality of the image contrast and can provide more details and information than the other comparable methods.
UR  - https://qims.amegroups.org/article/view/29674