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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783845411958
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783845411958
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783845411958
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Taschenbuch. Etat : 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. N° de réf. du vendeur 106898706
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