Mathematical morphology especially watershed algorithm based image segmentation has been found to occupy an important place in the second level of digital image processing. The output segmented images should be suitable and conducive to the computer machines for subsequent processing. Already a few standard algorithms have been invented and have been established without any apparent pitfall in them. In spite of the quality of their studies, there are a lot of scopes and subareas which are apparently non exhaustive and may still left for further studies. This book aims at to carry out research studies on these aspects which are felt by the authors unexplored. All these aspects have been studied theoretically followed by computer software (MATLAB various versions available from time to time) based experimentations. The same have been carried out on the digital images imported from standard databases as well as real life images. Apart from this, the book has placed a sincere attempt by filling of the voids in the existing ones and thus fills up the vacant rooms in mathematical morphological based image segmentation.
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Paperback. Condición: new. Paperback. Mathematical morphology especially watershed algorithm based image segmentation has been found to occupy an important place in the second level of digital image processing. The output segmented images should be suitable and conducive to the computer machines for subsequent processing. Already a few standard algorithms have been invented and have been established without any apparent pitfall in them. In spite of the quality of their studies, there are a lot of scopes and subareas which are apparently non exhaustive and may still left for further studies. This book aims at to carry out research studies on these aspects which are felt by the authors unexplored. All these aspects have been studied theoretically followed by computer software (MATLAB various versions available from time to time) based experimentations. The same have been carried out on the digital images imported from standard databases as well as real life images. Apart from this, the book has placed a sincere attempt by filling of the voids in the existing ones and thus fills up the vacant rooms in mathematical morphological based image segmentation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9786208065812
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mathematical morphology especially watershed algorithm based image segmentation has been found to occupy an important place in the second level of digital image processing. The output segmented images should be suitable and conducive to the computer machines for subsequent processing. Already a few standard algorithms have been invented and have been established without any apparent pitfall in them. In spite of the quality of their studies, there are a lot of scopes and subareas which are apparently non exhaustive and may still left for further studies. This book aims at to carry out research studies on these aspects which are felt by the authors unexplored. All these aspects have been studied theoretically followed by computer software (MATLAB various versions available from time to time) based experimentations. The same have been carried out on the digital images imported from standard databases as well as real life images. Apart from this, the book has placed a sincere attempt by filling of the voids in the existing ones and thus fills up the vacant rooms in mathematical morphological based image segmentation. Nº de ref. del artículo: 9786208065812
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Taschenbuch. Condición: Neu. Watershed image segmentation based on various sequential processes | Pinaki Pratim Acharjya (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208065812 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 130247874
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