| 书目名称 | Variational and Level Set Methods in Image Segmentation | | 编辑 | Amar Mitiche,Ismail Ben Ayed | | 视频video | | | 概述 | Useful applications in remote sensing, medicine.Useful applications in robotics, database search.Useful applications in security.Includes supplementary material: | | 丛书名称 | Springer Topics in Signal Processing | | 图书封面 |  | | 描述 | Image segmentation consists of dividing an image domain into disjoint regions according to a characterization of the image within or in-between the regions. Therefore, segmenting an image is to divide its domain into relevant components. The efficient solution of the key problems in image segmentation promises to enable a rich array of useful applications. The current major application areas include robotics, medical image analysis, remote sensing, scene understanding, and image database retrieval. The subject of this book is image segmentation by variational methods with a focus onformulations which use closed regular plane curves to define the segmentation regions and on a level set implementation of the corresponding active curve evolution algorithms. Each method is developed from an objective functional which embeds constraints on both the image domain partition of the segmentation and the image data within or in-between the partition regions. The necessary conditions to optimize the objective functional are then derived and solved numerically. The book covers, within the active curve and level set formalism, the basic two-region segmentation methods, multiregion extensions, re | | 出版日期 | Book 2011 | | 关键词 | Flow Estimation; Image Models; Optical Flow 3D segmentaion | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-15352-5 | | isbn_softcover | 978-3-642-26562-4 | | isbn_ebook | 978-3-642-15352-5Series ISSN 1866-2609 Series E-ISSN 1866-2617 | | issn_series | 1866-2609 | | copyright | Springer-Verlag Berlin Heidelberg 2011 |
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发表于 2025-3-21 19:39:11
