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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...

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Detalles Bibliográficos
Autores principales: He, Jia, Kim, Chang-Su, Kuo, C-C Jay
Lenguaje:eng
Publicado: Springer 2013
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-981-4451-60-4
http://cds.cern.ch/record/1620189
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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
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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