Piecewise smooth Mumford-Shah on an arbitrary graph
AssigneeSiemens Aktiengesellschaft
InventorsChristopher V. Alvino, Leo Grady
Life of this patent
Estimating the term…
Abstract
A method for recovering a contour using combinatorial optimization includes receiving an input image, initializing functions for gradient f, smooth background g, and contour r, determining an optimum of the gradient f of a region R in the input image, extending the optimum of the gradient f of region R to a complement of R, determining an optimum of the smooth background function g for a region Q corresponding to the complement of R, extending the optimum of the smooth background function g of region Q to a complement of Q, and determining an optimum contour r according to the optimum of the gradient f and the optimum of the smooth background function g.
Claims14
A non-transitory computer readable medium embodying instructions executable by a processor to perform a method for recovering a contour using combinatorial optimization, the method steps comprising:
- receiving an input image;
- initializing functions for gradient f, smooth background g, and contour r;
- determining an optimum of the gradient f of a region R in the input image;
- extending the optimum of the gradient f of region R to a complement of R;
- determining an optimum of the smooth background function g for a region Q corresponding to the complement of R;
- extending the optimum of the smooth background function g of region Q to a complement of Q;
- and
- determining an optimum contour r according to the optimum of the gradient f and the optimum of the smooth background function g using combinatorial optimization.
A non-transitory computer readable medium embodying instructions executable by a processor to perform a method for recovering a contour using combinatorial optimization, the method steps comprising:
- receiving an input image comprising a plurality of pixels;
- initializing a segmentation model of the input image as a graph comprising a plurality of nodes, wherein each pixel of the image is associated with a respected node of the graph, and the segmentation model including functions for gradient smooth background g, and contour r;
- determining a foreground by the gradient f of a region R in the input image;
- extending the foreground of the gradient f of region R to a complement of R to determine an extended foreground;
- determining a background by the smooth background function g for a region Q corresponding to the complement of R;
- extending the background of the smooth background function g of region Q to a complement of Q to determine an extended background;
- and
- determining a contour r according to the extended foreground and the extended background, wherein the contour r is a segmentation of the input image.
Dependencies are inferred from the claim text.