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Image Segmentation Multi Modal Study by Kondra Shripad (8 results)
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Image Segmentation and Multi-modal Study of Neuronal Growth Cones
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
ISBN 10: 3845411953 ISBN 13: 9783845411958
Condition: New. pp. 104.
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Image Segmentation and Multi-modal Study of Neuronal Growth Cones | Biologically motivated computer vision
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845411953 ISBN 13: 9783845411958
Taschenbuch. Condition: Neu. Image Segmentation and Multi-modal Study of Neuronal Growth Cones | Biologically motivated computer vision | Shripad Kondra (u. a.) | Taschenbuch | 104 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845411958 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Image Segmentation and Multi-modal Study of Neuronal Growth Cones: Biologically motivated computer vision
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845411953 ISBN 13: 9783845411958
paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Image Segmentation and Multi-modal Study of Neuronal Growth Cones
Language: English
Published by LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3845411953 ISBN 13: 9783845411958
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book studies the question of obtaining a general and robust Image segmentation and a method to extract shapes for shape based object recognition. A texture classification method using only three filters is proposed which till date is the minimum number of filters used for texture classification achieving top results. It also addresses the issues involved to register images taken from different modalities to study morphology of neuronal growth cones. The work was funded by EC project VISIONTRAIN contract number MRTN-CT-2004-005439. 104 pp. Englisch.
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Image Segmentation and Multi-modal Study of Neuronal Growth Cones
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
ISBN 10: 3845411953 ISBN 13: 9783845411958
Condition: New. Print on Demand pp. 104 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
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Image Segmentation and Multi-modal Study of Neuronal Growth Cones
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
ISBN 10: 3845411953 ISBN 13: 9783845411958
Condition: New. PRINT ON DEMAND pp. 104.
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Image Segmentation and Multi-modal Study of Neuronal Growth Cones
Language: English
Published by LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3845411953 ISBN 13: 9783845411958
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book studies the question of obtaining a general and robust Image segmentation and a method to extract shapes for shape based object recognition. A texture classification method using only three filters is proposed which till date is the minimum number of filters used for texture classification achieving top results. It also addresses the issues involved to register images taken from different modalities to study morphology of neuronal growth cones. The work was funded by EC project VISIONTRAIN contract number MRTN-CT-2004-005439.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.
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Image Segmentation and Multi-modal Study of Neuronal Growth Cones : Biologically motivated computer vision
Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845411953 ISBN 13: 9783845411958
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book studies the question of obtaining a general and robust Image segmentation and a method to extract shapes for shape based object recognition. A texture classification method using only three filters is proposed which till date is the minimum number of filters used for texture classification achieving top results. It also addresses the issues involved to register images taken from different modalities to study morphology of neuronal growth cones. The work was funded by EC project VISIONTRAIN contract number MRTN-CT-2004-005439.
