Application of Active Contour Models in Medical Image Segmentation

Abstract

Recent developments on medical imaging techniques have brought a completely new research field on image processing. The principal aim is to improve medical diagnosis through segmented images. Techniques have been developed to help for identifying specific structures within a magnetic resonance image: MRI. The Active Contour methods, these methods are adaptable to the desired features in the image . In our work, we describe two classes of active contour models and discussing application aspects in medical imaging area.