| 书目名称 | Interactive Segmentation Techniques | | 副标题 | Algorithms and Perfo | | 编辑 | Jia He,Chang-Su Kim,C.-C. Jay Kuo | | 视频video | | | 概述 | A comprehensive, up-to-date survey helps readers to learn interactive segmentation techniques quickly and thoroughly.Numerous segmentation results and comparisons guide readers to choose appropriate t | | 丛书名称 | SpringerBriefs in Electrical and Computer Engineering | | 图书封面 |  | | 描述 | This book focuses on interactive segmentation techniques, which have been extensively studied in recent decades. Interactive segmentation emphasizes clear extraction of objects of interest, whose locations are roughly indicated by human interactions based on high level perception. This book will first introduce classic graph-cut segmentation algorithms and then discuss state-of-the-art techniques, including graph matching methods, region merging and label propagation, clustering methods, and segmentation methods based on edge detection. A comparative analysis of these methods will be provided with quantitative and qualitative performance evaluation, which will be illustrated using natural and synthetic images. Also, extensive statistical performance comparisons will be made. Pros and cons of these interactive segmentation methods will be pointed out, and their applications will be discussed. .There have been only a few surveys on interactive segmentation techniques, and those surveys do not cover recent state-of-the art techniques. By providing comprehensive up-to-date survey on the fast developing topic and the performance evaluation, this book can help readers learn interactive s | | 出版日期 | Book 2014 | | 关键词 | Boundary Detection; Clustering Methods; Graph Matching; Graph-cut Segmentation Algorithms; Image Underst | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-4451-60-4 | | isbn_softcover | 978-981-4451-59-8 | | isbn_ebook | 978-981-4451-60-4Series ISSN 2191-8112 Series E-ISSN 2191-8120 | | issn_series | 2191-8112 | | copyright | The Author(s) 2014 |
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发表于 2025-3-21 19:54:24
