Titlebook: Computer Vision and Graphics; Second International Leonard Bolc,Ryszard Tadeusiewicz,Konrad Wojciecho Conference proceedings 2010 Springer-

曲解

MRI Brain Segmentation Using Cellular Automaton Approachional medical images. Three-dimensional cases require some unsophisticated data post processing [1], or making some modifications in the manner in which the automaton grows into the third dimension from the two-dimensional layer. To prove quality of this method, some tests results are presented at the end of this paper.

熔巖

Video Analysis Based on Mutual Informationjective methods for measuring the video quality. Results show that our method correlates with the standardized method and the distance metric, so it is possible to replace a more complex method with our simpler method.

Vital-Signs

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MURAL

性學(xué)院

Visual Programming Environment Based on Hypergraph Representationsacts. The hypergraph representation allows to store semantic relations between software artifacts an can be visualized with well-known graph drawing algorithms. The proposed visual programming environment focuses not only on software visualization, but also offers context visualization for programmi

Arctic

無情

nocturia

Local Polynomial Approximation for Unsupervised Segmentation of Endoscopic Imagesract. Our approach integrates local polynomial approximation algorithm with the well-founded methods of color texture analysis and clustering (k-means) leading to a robust segmentation procedure which produces fine-grained segments well matched to the image contents.

acquisition