Shape Complexes in Continuous Max-Flow Hierarchical Multi-Labeling Problems

Autor:	Baxter, John S. H., Yuan, Jing, Peters, Terry M.
Rok vydání:	2015
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	Although topological considerations amongst multiple labels have been previously investigated in the context of continuous max-flow image segmentation, similar investigations have yet to be made about shape considerations in a general and extendable manner. This paper presents shape complexes for segmentation, which capture more complex shapes by combining multiple labels and super-labels constrained by geodesic star convexity. Shape complexes combine geodesic star convexity constraints with hierarchical label organization, which together allow for more complex shapes to be represented. This framework avoids the use of co-ordinate system warping techniques to convert shape constraints into topological constraints, which may be ambiguous or ill-defined for certain segmentation problems. Comment: 9 pages, 1 figure
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1510.04706 Zobrazit plný text záznamu View this record from Arxiv