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Optimization Techniques on Pixel Neighborhood Graphs for Image Processing,ed on an appropriate pixel neighborhood graph. For attaining a higher computation speed, the full pixel lattice is replaced by a succession of partial identical neighborhood trees. Two versions of a high-speed minimization procedure are proposed for, respectively, discretely defined and quadratic objective functions.

奇思怪想

蒙太奇

迫击炮

Munificent

Edge Detection as Finding the Minimum Cost Path in a Graph,tire 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.

Cardioversion

星星

HEW

Isomorphism between Strong Fuzzy Relational Graphs Based on ,-Formulae,uple of nodes is linked by a relational histogram which can be assumed to the attraction of two regions following a set of directions. The attraction is computed by a continuous function, depending on the distance of the confronted objects. Each case of the histogram corresponds to a particular dire

刺激

A Graph Structure for Grey Value and Texture Segmentation,arity Graph—FSG) which is based on a feature similarity criterion and a feature smoothing procedure applied in each layer of the network. Starting with grey value segmentation (the features are the pixel grey values) one obtains segments which, for textured images, represent texture elements (texels

ODIUM

Image Sequence Segmentation by a Single Evolutionary Graph Pyramid,f the sequence, and then it is updated from image to image, using a split-and-merge process that takes into account the changes occurred between two successive frames. Thus, the same pyramid structure is used along the sequence, speeding up the process. Stability criteria allow to have the required