IEEE Trans Image Process - Multiregion image segmentation by parametric kernel graph cuts.

Tópicos

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Resumo

The purpose of this study is to investigate multiregion graph cut image partitioning via kernel mapping of the image data. The image data is transformed implicitly by a kernel function so that the piecewise constant model of the graph cut formulation becomes applicable. The objective function contains an original data term to evaluate the deviation of the transformed data, within each segmentation region, from the piecewise constant model, and a smoothness, boundary preserving regularization term. The method affords an effective alternative to complex modeling of the original image data while taking advantage of the computational benefits of graph cuts. Using a common kernel function, energy minimization typically consists of iterating image partitioning by graph cut iterations and evaluations of region parameters via fixed point computation. A quantitative and comparative performance assessment is carried out over a large number of experiments using synthetic grey level data as well as natural images from the Berkeley database. The effectiveness of the method is also demonstrated through a set of experiments with real images of a variety of types such as medical, synthetic aperture radar, and motion maps.

Resumo Limpo

purpos studi investig multiregion graph cut imag partit via kernel map imag data imag data transform implicit kernel function piecewis constant model graph cut formul becom applic object function contain origin data term evalu deviat transform data within segment region piecewis constant model smooth boundari preserv regular term method afford effect altern complex model origin imag data take advantag comput benefit graph cut use common kernel function energi minim typic consist iter imag partit graph cut iter evalu region paramet via fix point comput quantit compar perform assess carri larg number experi use synthet grey level data well natur imag berkeley databas effect method also demonstr set experi real imag varieti type medic synthet apertur radar motion map

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