期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：3
页码：3691
DOI：10.15680/IJIRSET.2017.0603125
出版社：S&S Publications
摘要：The amount of images are increasing, we need to collect them every day so it create problem for us toextract the meaningful hidden information from vast collection datasets of raw images with no human intervention. Sowe need software’s to analyze those images with reliability and high accuracy which helps to reduce the workload andthe goal is not only to get result with high accuracy but our goal is to detect the affected area by the disease and help tospecialist to learn about the progress of a disease in early. To extract the region of interest from an image we processthe image from different phases and in this paper we only focus on the classification method that is SVM (SupportVector Machine) to classify the images.
