Influence of Noise Distribution on Active Contour Models: Medical Images Segmentation
Abstract
The segmentation methods by active contour models have been widely used in recent years and have given great satisfaction in different applications. However, for a given application, the choice of appropriate model is difficult to define. In this study we review the active contour models and we propose a robustness quantification of these models through different noise distributions. Robustness is evaluated on various images.