A Modified Active Contour Model for Cardiac MR Image Segmentation Based on Entropy Information
Alireza Noei Sarcheshmeh, Seyyed Amir Ziafati Bagherzadeh, Yahya Forghani · Communications on Advanced Computational Science with Applications · 2017
In this article, a Modified Geodesic Active Contour Model has been presented. Normally, Active Contour-based methods are categorized as either edge-based models or region-based models. Active Contour Models not only uses data on Gradient, but also can use global features of image for evolutionary curve to move and segment target boundaries which leads to detection of their weak ones. This type of function, introduce a window to calculate the average surrounding data on any pixel, and fashion a Signed Pressure Force based on entropy to make the contour reach the boundaries. In order to optimizing the efficiency and stability of the algorithm, this article has provided two sorts of level set methods for segmentation to be done. Simulation results demonstrate that due process can provide precise readings even in cases of inhomogeneity or not well-defined edges.