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Titlebook: Mathematical Morphology and Its Applications to Image and Signal Processing; 10th International S Pierre Soille,Martino Pesaresi,Georgios K

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Sparse Mathematical Morphology Using Non-negative Matrix Factorizationweights of the current image. These operators are then extended to grey-level images by means of the level-set decomposition. The performance of the present method is illustrated using families of binary shapes and face images.
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Object Descriptors Based on a List of Rectangles: Method and Algorithmbase of new descriptors that have been used successfully for machine learning tasks related to the analysis of human silhouettes..For convenience, we provide the C source code and a program of our algorithm at .
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Orders on Partial Partitions and Maximal Partitioning of Setsn with two successive criteria. Finally we consider valuations on partial partitions, that is, strictly isotone functions with positive real values; this gives an alternative approach where the valuation, not the partial partition, should be maximized.
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Conference proceedings 2011rs are organized in thematic sections on theory, lattices and order, connectivity, image analysis, processing and segmentation, adaptive morphology, algorithms, remote sensing, visualization, and applications. .
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Fuzzy Bipolar Mathematical Morphology: A General Algebraic Settingon (e.g. constraints) in an asymmetric way. In this paper, a general algebraic framework is proposed to handle such information using mathematical morphology operators, leading to results that apply to any partial ordering.
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