Yuanping Zhou1, Changqin Shi2, Bingyan Lai3, Giorgos Jimenez4. 1. Department of Radiology, Ankang Hospital cf Traditional Chinese Medicine, Ankang 725000, China. 2. Department of Radiology CT/MR room, Shan County Hagia Hospital, Heze 274300, China. 3. Department of B Ultrasound Room, Shaanxi Traditional Chinese Medicine Hospital B-Ultrasound Room, Xi'an 710002, China. 4. University of Tirana, Tirana, Albania.
Abstract
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. 2019 Quantitative Imaging in Medicine and Surgery. All rights reserved.
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. 2019 Quantitative Imaging in Medicine and Surgery. All rights reserved.
Entities:
Keywords:
Medical imaging; World Cup Optimization algorithm (WCO algorithm); gamma correction; image contrast enhancement; improved optimization algorithm; multi-objective optimization