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Interactive segmentation techniques: algorithms and performance evaluation
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 fir...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Springer
2013
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-981-4451-60-4 http://cds.cern.ch/record/1620189 |
_version_ | 1780933088460668928 |
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author | He, Jia Kim, Chang-Su Kuo, C-C Jay |
author_facet | He, Jia Kim, Chang-Su Kuo, C-C Jay |
author_sort | He, Jia |
collection | CERN |
description | 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 |
id | cern-1620189 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2013 |
publisher | Springer |
record_format | invenio |
spelling | cern-16201892021-04-21T21:53:44Zdoi:10.1007/978-981-4451-60-4http://cds.cern.ch/record/1620189engHe, JiaKim, Chang-SuKuo, C-C JayInteractive segmentation techniques: algorithms and performance evaluationEngineeringThis 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 Springeroai:cds.cern.ch:16201892013 |
spellingShingle | Engineering He, Jia Kim, Chang-Su Kuo, C-C Jay Interactive segmentation techniques: algorithms and performance evaluation |
title | Interactive segmentation techniques: algorithms and performance evaluation |
title_full | Interactive segmentation techniques: algorithms and performance evaluation |
title_fullStr | Interactive segmentation techniques: algorithms and performance evaluation |
title_full_unstemmed | Interactive segmentation techniques: algorithms and performance evaluation |
title_short | Interactive segmentation techniques: algorithms and performance evaluation |
title_sort | interactive segmentation techniques: algorithms and performance evaluation |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-981-4451-60-4 http://cds.cern.ch/record/1620189 |
work_keys_str_mv | AT hejia interactivesegmentationtechniquesalgorithmsandperformanceevaluation AT kimchangsu interactivesegmentationtechniquesalgorithmsandperformanceevaluation AT kuoccjay interactivesegmentationtechniquesalgorithmsandperformanceevaluation |