Texture-based medical image classification of computed tomography images using MRCSF
R. S. Sabeenian, Vadivel Palanisamy · International Journal of Medical Engineering and Informatics · 2009
Texture classification is a trendy and a catchy technology in the field of texture analysis. It finds its applications in various fields like medical image classification, computer vision, remote sensing, machine vision, agricultural field and many more. Our main focus is on medical images which is a kind of natural texture. The basic idea of the paper is to find out the abnormalities of a patient's abdomen and more particularly in organs such as kidney, liver and spleen. It is found out by analysis and classifying the CT scan images of a patient's abdomen. The CT scan images are collected from various sources such as internet, hospitals, etc. The classification is done by extracting the statistical and spectral characteristics of images and by fixing the threshold. The classification results show whether the part of the patient is normal or abnormal. It is a new technology for automation of medical image classification.