MedGA: A novel evolutionary method for image enhancement in medical imaging systems

Leonardo Rundo, Andrea Tangherloni, Marco S. Nobile, Carmelo Militello, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga

Abstract: 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.