Contrast enhancement of medical images using a new version of the World Cup Optimization algorithm | Zendy

Yuanping Zhou | Zendy; Shi Chang-qin | Zendy; Bingyan Lai | Zendy; Giorgos Jimenez | Zendy

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Contrast 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.

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