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Graph Based Image Segmentation by Wang Jingdong (11 results)
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Graph Based Image Segmentation a Modern Approach
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639110749 ISBN 13: 9783639110746
Condition: New.
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Graph Based Image Segmentation A modern approach (Paperback or Softback)
Language: English
Published by VDM Verlag 12/19/2008, 2008
ISBN 10: 3639110749 ISBN 13: 9783639110746
Paperback or Softback. Condition: New. Graph Based Image Segmentation A modern approach. Book.
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Graph Based Image Segmentation a Modern Approach
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639110749 ISBN 13: 9783639110746
Condition: As New. Unread book in perfect condition.
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Graph Based Image Segmentation: A modern approach
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639110749 ISBN 13: 9783639110746
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 39.43
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Graph Based Image Segmentation: A modern approach
Language: English
Published by VDM Verlag Dr. Mïż½ller 2008-12-21, 2008
ISBN 10: 3639110749 ISBN 13: 9783639110746
Paperback. Condition: New.
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Graph Based Image Segmentation a Modern Approach
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639110749 ISBN 13: 9783639110746
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Graph Based Image Segmentation a Modern Approach
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639110749 ISBN 13: 9783639110746
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Graph Based Image Segmentation
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639110749 ISBN 13: 9783639110746
Kartoniert / Broschiert. Condition: New. Image segmentation refers to a process of dividing the image into disjoint regions that were meaningful. This process is fundamental in computer vision in that many applications, such as image retrieval, visual summary, image based m.
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Graph Based Image Segmentation A modern approach
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639110749 ISBN 13: 9783639110746
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Graph Based Image Segmentation A modern approach
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639110749 ISBN 13: 9783639110746
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 40.85
£ 3.29 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Graph Based Image Segmentation : A modern approach
Language: English
Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639110749 ISBN 13: 9783639110746
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image segmentation refers to a process of dividing the image into disjoint regions that were meaningful. This process is fundamental in computer vision in that many applications, such as image retrieval, visual summary, image based modeling, and so on, can essentially benefit from it. This process is also challenging because the segmentation is usually subjective and the computation is highly costly.This book develops in turn the prior model for the pairwise graph approaches which is defined from multiple cues, a hyper graph based method which models multiple wise relations among the data points, and a tree structured graph based method which leads to an efficient and effective solution to the normalized cuts criterion. These approaches are demonstrated in multiple view, interactive and automatic image segmentation problems.This book is suitable for students and researchers in image processing, computer vision, pattern recognition and machine learning.
