Images Segmentation Using an Adaptive Balloon Force Active Contour
Shi Cheng-xian, Cao De-xin · Journal of China University of Mining and Technology · 2007
It was an important method that prior information was integrated active contour for improving the performance of image segmentation in complex context.A target region was extracted in image by statistical method.The adaptive balloon forces relating to the target region information was introduced for improving the geodesic active contour model.The result shows that the convergence of active contour curve is not only depended on the image gradient,but also the target region. A better boundary contour is achieved by processing the objects with weak edges and medical data imagery.The model provides an accurate segmentation to weak edges and noise image and speed up the curve convergence to target region boundary.