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.
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Shripad Kondra has been a Marie Curie Fellow in Europe, and has done his PhD in Neuroscience from International Institute of Advanced Studies, Trieste, Italy, M.S. in Medial Technology & B.Eng in Biomedical. His interests are image processing, pattern recognition, multi-modal neuroimaging, study of default-mode and network behavior from fMRI.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783845411958
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 104. Codice articolo 26128896792
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Da: Majestic Books, Hounslow, Regno Unito
Condizione: 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. Codice articolo 131690695
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Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. PRINT ON DEMAND pp. 104. Codice articolo 18128896786
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783845411958
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783845411958
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: 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. Codice articolo 106898706
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Da: Mispah books, Redhill, SURRE, Regno Unito
paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA80038454119536
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