Method for image segmentation by minimizing the ratio between th

Image analysis – Image segmentation

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382199, G06K 934

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active

060786884

ABSTRACT:
Segmentation of an image into separate regions is useful in many computer vision problems. The separate regions may be represented by their enclosing contours. A planar graph is constructed for each image. The optimal contour is determined by the assignment of edge costs and face weights of the graph. An algorithm is provided such that given a planar graph G = (V,E) where V is a set of nodes, E is a set of edges and each edge e is provided with a non-negative cost c(e) and each face f of the planar graph is provided with a non-negative weight w(f), and given a single node v in G and single face F adjacent to v which is viewed as the exterior face, then find a directed path P in G that starts and finishes at v and minimizes ##EQU1## where cost(P) is defined as the length of the path under c, and weight (P) is the weight of the faces that are separated from F by P. The contour that minimizes .zeta. is the optimal contour.

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