Active Contours, Gvf and Balloon Model
Abhinav Chopra, Seema Rawat, Praveen Kumar · 2012
One of the substantial techniques in the field of digital image processing is image segmentation. It is excessively used in the field of medicine provides visual means for identification, inspection and tracking of diseases for surgical planning and simulation. Active contours or a snake is an image segmentation technique which is widely used for boundary detection. They are regarded as promising and vigorously researched model-based approach to computer assisted medical image analysis. However, its utility is limited due some problems caused in the traditional methods, i.e. Poor convergence of concavities and small capture range. This paper shows the application a new model for active contours, which comprises of the Balloon Model and the GVF model. This model helps in improving the detection quality of closed edges, thereby resolving the limitations of the traditional snake model.