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Titlebook: A Contrario Line Segment Detection; Rafael Grompone von Gioi Book 2014 The Author(s) 2014 A contrario framework.LSD algorithm.NFA approach

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發(fā)表于 2025-3-21 16:29:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱A Contrario Line Segment Detection
影響因子2023Rafael Grompone von Gioi
視頻videohttp://file.papertrans.cn/141/140422/140422.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類SpringerBriefs in Computer Science
圖書封面Titlebook: A Contrario Line Segment Detection;  Rafael Grompone von Gioi Book 2014 The Author(s) 2014 A contrario framework.LSD algorithm.NFA approach
影響因子The reliable detection of low-level image structures is an old and still challenging problem in computer vision. This?book leads a detailed tour through the LSD algorithm, a line segment detector designed to be fully automatic. Based on the .a contrario. framework, the algorithm works efficiently without the need of any parameter tuning. The design criteria are thoroughly explained and the algorithm‘s good and bad results are illustrated on real and synthetic images. The issues involved, as well as the strategies used, are common to many geometrical structure detection problems and some possible extensions are discussed.
Pindex Book 2014
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The LSD Algorithm,st be in equilibrium and there must be two independent properties to uniquely determine the thermodynamic state. Note that these are conditions we have been using all along. Also, we have eliminated from consideration situations involving chemical reactions and various exotic effects like magnetism,
地板
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Extensions,ine the acceptable analytical forms of the material property functions. It is then shown that the closed-cycle condition (i.e., that the steady-state response of a non-aging viscoelastic material to a periodic excitation be periodic) requires that the material property functions depend only on the d
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A Contrario Line Segment Detection978-1-4939-0575-1Series ISSN 2191-5768 Series E-ISSN 2191-5776
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Rafael Grompone von GioiIncludes supplementary material:
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SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/a/image/140422.jpg
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Estrangement and Reconnection in ,The aim of image analysis is to extract useful information from digital images. The fundamental problem lies in how to combine the information from multiple measurements, the pixel values, into a coherent interpretation. This work discusses a very reduced version of this general problem, namely the detection of ..
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