Titlebook: ;

Custodian

https://doi.org/10.1007/978-1-4613-2267-2ctly segmented. In this paper, we present a framework for shock graph-based object recognition in less contrived scenes. The approach consists of two steps, beginning with the construction of a region adjacency graph pyramid. For a given region, we traverse this scale-space, using a model shock grap

integrated

Graph-Based Representations in Pattern Recognition

Mendicant

Inside and Outside Within Combinatorial Pyramidsow to distinguish inside and outside of the loop by local computations. We provide a method based on the combinatorial pyramid framework which uses the orientation explicitly encoded by combinatorial maps to determine inside and outside with local calculus.

獨白

Arthropathy

SYN

Modelling Hot Deformation of Steelsiven renal glomerulus can be estimated by the invariants (root distance, radius, and diameter) of the graph representing the renal glomerulus network. Experimental evidence is given to support this conjecture.

膽大

https://doi.org/10.1007/978-3-642-15923-7tion and we show how to design, implement and use a general environment for 2D image segmentation, from the mathematical model up to a real application. The model, data structure, algorithms and API described in this paper are currently implemented in a software which will be available under LGPL in the course of year 2005.

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