Cancer Detection with an Image Processing Application

Abstract

In this study, image processing algorithms and their performances are examined. In the first part of the study, image processing, color space, functions and frameworks that can be used in C# are studied. As a result of obtaining the necessary information, an algorithm has been written that turns existing images into gray. Then, Median filtering was applied to the image in order to increase the quality of the image. Threshold algorithm was used to clarify the region after filtering. Finally, Sobel edge detection algorithm was used for image processing. Machine learning was used to decide whether the tumor region detected after image processing is cancerous or not. A dataset and NaiveBayes Class are used for machine learning. In summary, the project determines the tumor area with image processing and tells whether the tumor is cancerous with machine learning.