Open AccessSaturation Component In HSB Color Space With Image Processing Methods To Enhanced Image Segmentation
Author(s) -
Ahmed Abdullah
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/928/3/032082
Subject(s) - computer vision , artificial intelligence , computer science , image processing , image segmentation , color space , color image , segmentation , digital image , digital image processing , process (computing) , component (thermodynamics) , image (mathematics) , pattern recognition (psychology) , operating system , physics , thermodynamics
With the scientific advances witnessed by many branches of science, one of the most important of which is medical diagnosis, there is a role for digital image processing, a primary role that helps doctors increase the accuracy of the diagnosis, where diagnosis can be made through the coloring of one of the organs in the body with a specific color, indicating that this organ suffers from a specific disease, Likewise, the increase in the size of this organ or the smallness of its size are all indications of the injury of this organ with a specific disease. Therefore, it became necessary for the medical image to be highly visible. Also, the required member was taken out of the captured image. In the process of diagnosing the disease, therefore a method was presented in this paper that helps to improve the process of cutting any part of the image with high accuracy through the use of digital image processing techniques and reliance on the saturation layer in the HSB color system.