期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2016
卷号：8
期号：1
页码：47
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Segmentation is a process of partitioning the image into several objects. It plays a vital role in many fieldssuch as satellite, remote sensing, object identification, face tracking and most importantly in medical field.In radiology, magnetic resonance imaging (MRI) is used to investigate the human body processes andfunctions of organisms. In hospitals, this technique has been using widely for medical diagnosis, to find thedisease stage and follow-up without exposure to ionizing radiation.Here in this paper, we proposed a novelMR brain image segmentation method for detecting the tumor and finding the tumor area with improvedperformance over conventional segmentation techniques such as fuzzy c means (FCM), K-means and eventhat of manual segmentation in terms of precision time and accuracy. Simulation performance shows thatthe proposed scheme has performed superior to the existing segmentation methods.
关键词：MR image; Tumor; Thresholding; FCM; K-means and binarization.
