| 书目名称 | Filtering, Segmentation and Depth | | 编辑 | Mark Nitzberg,David Mumford,Takahiro Shiota | | 视频video | | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | Computer vision seeks a process that starts with a noisy,ambiguous signalfrom a TV camera and ends with a high-leveldescription of discrete objects located in 3-dimensionalspace and identified in a humanclassification.This book addresses the process at several levels. Firsttobe treated are the low-level image-processing issues ofnoise removaland smoothing while preserving important linesand singularities in animage. At a slightly higher level, arobust contour tracing algorithm isdescribed that producesa cartoon of the important lines in the image. Thirdis thehigh-level task of reconstructing the geometry of objects inthe scene.The book has two aims: to give the computer vision communitya new approach to early visual processing, in the form ofimage segmentationthat incorporates occlusion at a lowlevel, and to introduce real computeralgorithms that do abetter job than what most vision programmers use currently.The algorithms are:- a nonlinear filter that reduces noiseand enhances edges,- an edge detector that also finds corners andproducessmoothed contours rather than bitmaps,- an algorithm forfilling gaps in contours. | | 出版日期 | Book 1993 | | 关键词 | Bildverarbeitung; Filtern; Image segmentation; Processing; Rekonstruktion; Segmentierung; algorithms; class | | 版次 | 1 | | doi | https://doi.org/10.1007/3-540-56484-5 | | isbn_softcover | 978-3-540-56484-3 | | isbn_ebook | 978-3-540-47570-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 1993 |
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