MedGA: A novel evolutionary method for image enhancement in medical imaging systems
作者：
Highlights：
• A novel medical image enhancement method based on Genetic Algorithms is proposed.
• MedGA enhances images characterized by nearly bimodal gray level histograms.
• The fitness function strengthens the two underlying intensity distributions.
• MedGA considerably outperforms the classical image enhancement techniques.
• MedGA achieves excellent results in terms of signal and perceived image quality.
摘要
•A novel medical image enhancement method based on Genetic Algorithms is proposed.•MedGA enhances images characterized by nearly bimodal gray level histograms.•The fitness function strengthens the two underlying intensity distributions.•MedGA considerably outperforms the classical image enhancement techniques.•MedGA achieves excellent results in terms of signal and perceived image quality.
论文关键词：Medical imaging systems,Image enhancement,Genetic Algorithms,Magnetic resonance imaging,Bimodal image histogram,Uterine fibroids
论文评审过程：Received 22 January 2018, Revised 4 October 2018, Accepted 6 November 2018, Available online 6 November 2018, Version of Record 13 November 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.11.013
