Automatic Active Contour Model for Satellite Images

Snake algorithm is widely used for edge detection. Snake is a parametric curve based on energy minimization principle which has internal forces which retains its characteristics and external forces which is responsible for pulling it towards lines, edges. The initialization of contours is a critical factor in active contour model. Poorly initialized contour fails to capture edges. Various methods have been developed for automatic initialization of contours. Satellite images generally cover large area and they are large in size. So their computational complexity is high. In this paper, we are estimating external energy from static force using Poisson's equations and determines most likely initial contour. We have used vector field convolution force for deformation. We have extended Bing Li and Scott T. Acton's [4] algorithm for satellite images. Comparison is done with Center of divergent method, Force field segmentation method and Canny edge detection method. Poisson inverse gradient method requires minimum number of iteration and time required for snake deformation.