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010   $a3-540-47570-2
024 7 $a10.1007/3-540-56484-5
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035   $a(DE-He213)978-3-540-47570-5
035   $a(PPN)155193708
035   $a(EXLCZ)991000000000233939
100   $a20121227d1993      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aFiltering, Segmentation and Depth$b[electronic resource] /$fby Mark Nitzberg, David Mumford, Takahiro Shiota
205   $a1st ed. 1993.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1993.
215   $a1 online resource (VIII, 152 p.)
225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v662
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-540-56484-5 
327   $aOverview -- Filtering for occlusion detection -- Finding contours and junctions -- Continuations -- Finding the 2.1D sketch -- Conclusion.
330   $aComputer vision seeks a process that starts with a noisy, ambiguous signal from a TV camera and ends with a high-level description of discrete objects located in 3-dimensional space and identified in a human classification. This book addresses the process at several levels. First to be treated are the low-level image-processing issues of noise removaland smoothing while preserving important lines and singularities in an image. At a slightly higher level, a robust contour tracing algorithm is described that produces a cartoon of the important lines in the image. Thirdis the high-level task of reconstructing the geometry of objects in the scene. The book has two aims: to give the computer vision community a new approach to early visual processing, in the form of image segmentation that incorporates occlusion at a low level, and to introduce real computer algorithms that do a better job than what most vision programmers use currently. The algorithms are: - a nonlinear filter that reduces noise and enhances edges, - an edge detector that also finds corners and produces smoothed contours rather than bitmaps, - an algorithm for filling gaps in contours.
410  0$aLecture Notes in Computer Science,$x0302-9743 ;$v662
606   $aOptical data processing
606   $aArtificial intelligence
606   $aSoftware engineering
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002
615  0$aOptical data processing.
615  0$aArtificial intelligence.
615  0$aSoftware engineering.
615 14$aImage Processing and Computer Vision.
615 24$aArtificial Intelligence.
615 24$aSoftware Engineering/Programming and Operating Systems.
676   $a006.4/2
700   $aNitzberg$b Mark$4aut$4http://id.loc.gov/vocabulary/relators/aut$0745764
702   $aMumford$b David$f1937-$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aShiota$b Takahiro$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a996466077403316
996   $aFiltering, segmentation and depth$91487641
997   $aUNISA