Абстрактный

An Edge Vector and Edge Map Based Boundary Detection in Medical Images

Jose Anand, K. Sivachandar

Medical images are noisy images and its processing is a complex one. The boundary detection of aortas in cardiovascular Magnetic Resonance (MR) images is difficult. This paper presents a vector image and edge map based boundary detection of aortas in cardiovascular MR images and is implemented using MATLAB. The performance of the edge vector and edge map boundary detection method for detecting the boundary of aortas in cardiovascular MR images is compared with an Active Contour Model (ACM). Results shows that the edge vector and edge map based boundary detection model is better than the active contour based model.