By Joachim Weickert, Brahim Benhamouda (auth.), Prof. Dr. Franc Solina, Prof. Dr. Walter G. Kropatsch, Prof. Dr. Reinhard Klette, Prof. Dr. Ruzena Bajcsy (eds.)
Computer imaginative and prescient recommendations was once very particular and hard to evolve to diversified or perhaps unexpected occasions. the present improvement is asking for easy to exploit but strong functions that may be hired in a number of events. This pattern calls for the reassessment of a few theoretical matters in laptop imaginative and prescient. a greater common figuring out of imaginative and prescient approaches, new insights and higher theories are wanted. The papers chosen from the convention staged in Dagstuhl in 1996 to assemble scientists from the West and the previous eastern-block international locations deal with those targets and canopy such fields as 2nd photographs (scale house, morphology, segmentation, neural networks, Hough remodel, texture, pyramids), restoration of 3-D constitution (shape from shading, optical circulate, 3D item acceptance) and the way imaginative and prescient is built-in right into a higher task-driven framework (hand-eye calibration, navigation, perception-action cycle).
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1994 (pp. 281-288). : Watershed of a continuous function. Processing 38,99-112 (1994). : Image Analysis and Mathematical Morphology. New York: Academic Press 1982. : Algorithmes Morphologiques a Base de Files d'Attente et de Lacets. Extension aux Graphes. PhD thesis. Fontainebleau: Ecole Nationale Superieure des Mines de Paris 1990. : Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE Transactions on Pattern Analysis and Machine Intelligence 13(6), 583-598 (1991).
The watershed on this graph is easy to parallelize because of its local nature . The distance-based definition  allows computing watersheds in parallel using a simple adaptation of Dijkstra's shortest path algorithm . The problem of load imbalance due to unequal sizes of catchment basins will be the subject of future study. : The morphological approach to segmentation: the watershed transformation. In: Dougherty E. R. ): Mathematical Morphology in Image Processing. New York: Marcel Dekker 1993 (chapter 12, pp.
Level components labelling. Labelling of level components is performed by a single processor on the entire image. After labelling, this processor distributes the input image and the labelled image over the processors in the network. To each processor is assigned an (approximately) equal slice of consecutive scanlines. Consecutive slices are assigned to neighbouring processors, with one scanline overlap so that it can be decided whether level components are shared with neighbouring processors. Parallel watershed of a graph.