IMPROVED ADAPTIVE THRESHOLDING OF MEDICAL IMAGES USING GENETIC ALGORITHM

The course of the computer vision thesis has been greatly increased in the visual image. In the fields of analytics and treatments, medical computer science exploration relies mostly upon the application of computer technology in medical practice. Therefore, this research intends to automate the removal from the retinal fundus imaging of potential retinal vessels using sensitive, local threshold technologies. Those parameters are used to reduce the restrictions of inadequate lighting during the increase in contrast and during the image segmentation process.