The application of the multi-scale GVF model based on the B-spline lifting wavelet in medical images segmentation
Juntao Xue, Zhengguang Liu, Hong-Wei Zhang, Shucheng Wang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
Snakes, or active contours, are used extensively in computer vision and image processing application, particularly to locate object boundaries. GVF (Gradient Vector Flow) model has resolved two key problems of the traditional deformable model. However, it still requires both the initial contour being close to the target and a large amount of computation. And it is difficult to process the cupped target edge. This paper analysis the characteristics of deformable model firstly, then proposed a new method based on B-spline lifting wavelet. Experimentations based on GVF model and MRI segmentation show that the proposed method is a good resolution to the initialization sensitivity and the large computation.