Medical Image Improvement Using a Proposed Algorithm

The clarity of medical images is important nowadays because it will be based on the diagnosis of the patient's situation diagnosis, the phase of the disease, and give an appropriate treatment to him. The objective of the present study is to clarify the edges of the colored medical images by boosting thickness to dispose of the soft edges and some places that do not appear when the edge is determined. It can convert from RGB to HSV and then display the resulting image in the color space (HSV)set the edges of this image and add it to the image in space (HSV) then convert the resulting image from the color space (HSV) to RGB). Use this algorithm to optimize images by Matlab2020a. This proposed method can be applied to all types of medical images such as (MRI, Ultrasound, X-ray, ... etc.) colored and gray, with any size and any part of the human body. The results give high resolution in the resulting images if showed an increase in the consistency of the resulting images.