Science & Technogy Ministry of Brasil, 2007 -546 pp.Proceedings of the 8th International Symposium on Mathematical Morphology, Rio de Janeiro, RJ, Brazil, October 10-13, 2007. Mathematical Morphology (MM) was created in the mid-sixties by a group led by Georges Matheron and Jean Serra of the Paris School of Mines in Fontainebleau, France. By the end of the seventies, its usefulness for image analysis had been recognized in Europe, in particular within the area of microscopic imaging. Starting in the eighties, with the publication in English of Serra's books on Image Analysis and Mathematical Morphology, MM spread worldwide. In 1993, the MM community organized the first International Symposium on Mathematical Morphology (ISMM), an event that has been held approximately biennially ever since.Part I Lattice theory An extension of skeleton by influence zones and morphological interpolation to fuzzy sets Basis Computation Algorithms Division of mappings between complete lattices General approach for fuzzy mathematical morphology Self-dual morphology on tree semilattices and applications Part II Geometry and topology Locally finite spaces and the join operator Digital Steiner sets and Matheron semi-groups The random spread model Part III Signal processing A scale-space toggle operator for morphological segmentation Comparing morphological levelings constrained by different markers Leveling cartoons, texture energy markers, and image decomposition Part IV Image processing A new shape descriptor based on tensor scale On morphological color texture characterization Micro-viscous morphological operators Scene text localization based on the ultimate opening News from viscousland A region-based interpolation method for mosaic images Part V Connectivity Adjacency stable connected operators and set levelings Perceptual filtering with connected operators and image inpainting Segmentation using vector-attribute filters: methodology and application to dermatological imaging Part VI Watershed segmentation Some links between min-cuts, optimal spanning forests and watersheds Stochastic watershed segmentation Watershed by image foresting transform, tie-zone, and theoretical relationships with other watershed definitions Watershed-based visualization of high-density EEG coherence Watershed cuts Watershed from propagated markers improved by a marker binding heuristic Two approaches for orientation field segmentation based on directional morphology Design of robust pattern classifiers based on optimum-path forests Computing approximate geodesics and minimal surfaces using watershed and graph-cuts Part VII Texture and geometrical segmentation Morphological texture gradients: Definition and application to colour and texture watershed segmentation Oversegmentation control for inexact graph matching: First results Segmentation of random textures by morphological and linear operators On distances, paths and connections for hyperspectral image segmentation Generalized watershed and PDEs for geometric-textural segmentation Part VIII Algorithms and architectures A partitioned algorithm for the image foresting transform 1D Component tree in linear time and space and its application to gray-level image multithresholding A parallel implementation of the dual-input Max-Tree algorithm for attribute filtering Multi-level decomposition of Euclidean spheres
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