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MedGA: A novel evolutionary method for image enhancement in medical imaging systems
2020
Medical imaging systems often require the application of image enhancement techniques to help physicians in anomaly/abnormality detection and diagnosis, as well as to improve the quality of images that undergo automated image processing. In this work we introduce MedGA, a novel image enhancement method based on Genetic Algorithms that is able to improve the appearance and the visual quality of images characterized by a bimodal gray level intensity histogram, by strengthening their two
doi:10.17863/cam.57565
fatcat:bb563sfgcjgolfi5lljvjf3pja