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Record Nr. |
UNISA996466077403316 |
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Autore |
Nitzberg Mark |
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Titolo |
Filtering, Segmentation and Depth [[electronic resource] /] / by Mark Nitzberg, David Mumford, Takahiro Shiota |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1993 |
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ISBN |
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Edizione |
[1st ed. 1993.] |
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Descrizione fisica |
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1 online resource (VIII, 152 p.) |
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Collana |
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Lecture Notes in Computer Science, , 0302-9743 ; ; 662 |
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Disciplina |
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Soggetti |
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Optical data processing |
Artificial intelligence |
Software engineering |
Image Processing and Computer Vision |
Artificial Intelligence |
Software Engineering/Programming and Operating Systems |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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Overview -- Filtering for occlusion detection -- Finding contours and junctions -- Continuations -- Finding the 2.1D sketch -- Conclusion. |
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Sommario/riassunto |
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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 |
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detector that also finds corners and produces smoothed contours rather than bitmaps, - an algorithm for filling gaps in contours. |
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