Titlebook: ;

行业

probate

Implementing Image Analysis with a Graph-Based Parallel Computing Model,, as a primitive operation to manipulate objects in an image. While the model is adapted to an efficient hardware implementation, it is also quite expressive in terms of image analysis. The paper illustrates that by presenting the implementation of Voronoï diagrams based image segmentation.

interference

Optimization Techniques on Pixel Neighborhood Graphs for Image Processing,n and a priori smoothness constraints. Such a generalized problem is set as the formal problem of minimization of a separable objective function defined on an appropriate pixel neighborhood graph. For attaining a higher computation speed, the full pixel lattice is replaced by a succession of partial

modifier

出处

GIBE

https://doi.org/10.1007/978-3-476-05302-2ing the graph configuration or labeling minimizing some cost function. In the case of local relationships between the graph nodes, the Markovian framework and simulated annealing algorithms provide some answers to this question..We are interested in this paper in the automatic or semi-automatic dete

Ballerina

Metzler Lexikon literarischer Symboletire graph of the search without defining the goal node: simple graph tools can be used to find closed boundaries or to determine junctions. On the other hand, we show that a cost function with exponential curvature can favor adaptive search strategies, preserving the minimum cost path condition.

铁砧

Metzler Lexikon literarischer Symbole set of syntactic and semantic transformations, they can be made isomorphic to each other. The matching process is carried out by using a State Space Representation: a state represents a partial solution of the matching between the graphs, and a transition between two states corresponds to the addit

较早

Metzler Lexikon moderner Mythen of graph algorithms for subgraph isomorphism detection has been proposed, one of these algorithms having quadratic time complexity. These new algorithms use a preprocessing step to allow rapid matching of an input graph against a database of model graphs. We present a new algorithm for largest comm

Myosin