The extraction of buildings on the basis of the prior shape

In the existing various kinds of active contour model methods about image segmentation, level set method has been widely used because of its powerful capabilities of topological transformation. Because of the global computation, level set has accurate shape description effect. On the other hand, it makes the segmentation result sensitive to noise. In this paper, we propose a simple modified method to extract the target embedding prior shape in the algorithm. It takes a prior shape for a kind of standard building and integrates the model constraint to the image constraint. The parameters of the model are evaluated by generic algorithm. The experimental results prove the effectiveness of our model.

[1]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[2]  Xianghua Xie,et al.  RAGS: region-aided geometric snake , 2004, IEEE Transactions on Image Processing.

[3]  Nikos Paragios,et al.  Shape Priors for Level Set Representations , 2002, ECCV.

[4]  Guillermo Sapiro,et al.  Geodesic Active Contours , 1995, International Journal of Computer Vision.

[5]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .

[6]  Jerry L. Prince,et al.  Snakes, shapes, and gradient vector flow , 1998, IEEE Trans. Image Process..

[7]  Daniel Cremers,et al.  Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling , 2003, Scale-Space.

[8]  V. Caselles,et al.  A geometric model for active contours in image processing , 1993 .

[9]  Nikos Paragios,et al.  Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration , 2002, ECCV.

[10]  Laurent D. Cohen,et al.  On active contour models and balloons , 1991, CVGIP Image Underst..

[11]  Junaed Sattar.  Snakes , Shapes and Gradient Vector Flow , 2022 .

[12]  Chunming Li,et al.  Segmentation of external force field for automatic initialization and splitting of snakes , 2005, Pattern Recognit..

[13]  Samir W. Mahfoud.  Crowding and Preselection Revisited , 1992, PPSN.

[14]  D. Mumford,et al.  Optimal approximations by piecewise smooth functions and associated variational problems , 1989 .

[15]  N. Paragios,et al.  Recognition-Driven 2D Competing Priors Towards Automatic And Accurate Building Detection , 2008 .

[16]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[17]  D CohenLaurent.  On active contour models and balloons , 1991 .