Titlebook: Applications of Discrete Geometry and Mathematical Morphology; First International Ullrich K?the,Annick Montanvert,Pierre Soille Conferenc

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,A New Image-Mining Technique for Automation of Parkinson’s Disease Research,in striatum section images. The latter are used to construct a Parkinson’s disease model at a preclinical stage. Experimental applications of the developed technique have confirmed its high efficiency and suitability for automated processing and analysis of brain section images (a 200 times increase

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Polydipsia

Advancements in YARN Resource Managerge representations have gained renewed interest for segmentation purposes. In this paper, we briefly survey fundamental results on hierarchical clustering and then detail recent paradigms developed for the hierarchical representation of images in the framework of mathematical morphology: constrained

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https://doi.org/10.1007/978-3-319-77525-8r problems in which accurate shape analysis is of importance. However, there are still comparatively few attributes for 3D filtering upon which to select features of interest besides, efficient and fast computation of attributes from volumetric data is still a daunting challenge. In particular, wher

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Encyclopedia of Big Data Technologiesature, recent articles have demonstrated that fast algorithms can be designed without any approximation of the Euclidean metric. The aim of the paper is to first give an overview of separable techniques to compute the distance transformation, the reverse distance transformation and a discrete medial

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Encyclopedia of Big Data Technologiesloped to make the system applicable to data as large as eight gigavoxels. Discrete geometry plays a prominent role at several processing stages (initial watershed segmentation, cell complex representation, reduction of oversegmentation by a graphical model, topological and geometric feature computat

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