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[null,"1.","Record Nr.",null,"UNISA996466077403316"]
[null,null,"Autore",null,"Nitzberg Mark"]
[null,null,"Titolo",null,"Filtering, Segmentation and Depth [[electronic resource] /] / by Mark Nitzberg, David Mumford, Takahiro Shiota"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1993"]
[null,null,"ISBN",null,"3-540-47570-2"]
[null,null,"Edizione",null,"[1st ed. 1993.]"]
[null,null,"Descrizione fisica",null,"1 online resource (VIII, 152 p.)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 0302-9743 ; ; 662"]
[null,null,"Disciplina",null,"006.4/2"]
[null,null,"Soggetti",null,"Optical data processing"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Software engineering"]
[{"$nulls":4},"Image Processing and Computer Vision"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Software Engineering/Programming and Operating Systems"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,"Nota di contenuto",null,"Overview -- Filtering for occlusion detection -- Finding contours and junctions -- Continuations -- Finding the 2.1D sketch -- Conclusion."]
[null,null,null,"Sommario/riassunto","Computer vision seeks a process that starts with a noisy, ambiguous signal from a TV camera and ends with a high-level description of discrete objects located in 3-dimensional space and identified in a human classification. This book addresses the process at several levels. First to be treated are the low-level image-processing issues of noise removaland smoothing while preserving important lines and singularities in an image. At a slightly higher level, a robust contour tracing algorithm is described that produces a cartoon of the important lines in the image. Thirdis the high-level task of reconstructing the geometry of objects in the scene. The book has two aims: to give the computer vision community a new approach to early visual processing, in the form of image segmentation that incorporates occlusion at a low level, and to introduce real computer algorithms that do a better job than what most vision programmers use currently. The algorithms are: - a nonlinear filter that reduces noise and enhances edges, - an edge detector that also finds corners and produces smoothed contours rather than bitmaps, - an algorithm for filling gaps in contours."]