Machine vision advanced image (29 risultati)

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Lingua: Inglese
Editore: Academic Press, 2020
Serie: Libro 2 di 3 - Hybrid Computational Intelligence for Pattern Analysis and Understanding
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Lingua: Inglese
Editore: Academic Press, 2020
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Advanced Machine Vision Paradigms for Medical Image Analysis
Gandhi, Tapan K. (EDT); Bhattacharyya, Siddhartha (EDT); De, Sourav (EDT); Konar, Debanjan (EDT); Dey, Sandip (EDT)
Lingua: Inglese
Editore: Academic Press, 2020
Serie: Libro 2 di 3 - Hybrid Computational Intelligence for Pattern Analysis and Understanding
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2020
Serie: Libro 2 di 3 - Hybrid Computational Intelligence for Pattern Analysis and Understanding
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Altre immagini- Brossura
Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Machine Vision and Advanced Image Processing in Remote Sensing | Proceedings of Concerted Action MAVIRIC (Machine Vision in Remotely Sensed Image Comprehension) | Ioannis Kanellopoulos (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2011 | Springer-Verlag GmbH | EAN 9783642642609 | V…erantwortliche Person für die EU: Lauinger, Sonia, Sonia Lauinger, Lauinger Verlag, Heinrich-Köhler-Platz 8, 76187 Karlsruhe, mail[at]lauinger-verlag[dot]de | Anbieter: preigu.

Lingua: Inglese
Editore: Academic Press, 2020
Serie: Libro 2 di 3 - Hybrid Computational Intelligence for Pattern Analysis and Understanding
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. pp. 266.

Lingua: Inglese
Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2011
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Since 1994, the European Commission has undertaken various actions to expand the use of Earth observation (EO) from space in the Union and to stimulate value-added services based on the use of Earth observation satellite data.' By supporting resea…rch and technological development activities in this area, DG XII responded to the need to increase the cost-effectiveness of space derived environmental information. At the same time, it has contributed to a better exploitation of this unique technology, which is a key source of data for environmental monitoring from local to global scale. MAVIRIC is part of the investment made in the context of the Environ ment and Climate Programme (1994-1998) to strengthen applied techniques, based on a better understanding of the link between the remote sensing signal and the underlying bio- geo-physical processes. Translation of this scientific know-how into practical algorithms or methods is a priority in order to con vert more quickly, effectively and accurately space signals into geographical information. Now the availability of high spatial resolution satellite data is rapidly evolving and the fusion of data from different sensors including radar sensors is progressing well, the question arises whether existing machine vision approaches could be advantageously used by the remote sensing community. Automatic feature/object extraction from remotely sensed images looks very attractive in terms of processing time, standardisation and implementation of operational processing chains, but it remains highly complex when applied to natural scenes.

Advanced Machine Vision Paradigms for Medical Image Analysis
Gandhi, Tapan K. (EDT); Bhattacharyya, Siddhartha (EDT); De, Sourav (EDT); Konar, Debanjan (EDT); Dey, Sandip (EDT)
Lingua: Inglese
Editore: Academic Press, 2020
Serie: Libro 2 di 3 - Hybrid Computational Intelligence for Pattern Analysis and Understanding
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Lingua: Inglese
Editore: Academic Press, 2020
Serie: Libro 2 di 3 - Hybrid Computational Intelligence for Pattern Analysis and Understanding
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Advanced Machine Vision Paradigms for Medical Image Analysis
Gandhi, Tapan K. (EDT); Bhattacharyya, Siddhartha (EDT); De, Sourav (EDT); Konar, Debanjan (EDT); Dey, Sandip (EDT)
Lingua: Inglese
Editore: Academic Press, 2020
Serie: Libro 2 di 3 - Hybrid Computational Intelligence for Pattern Analysis and Understanding
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Lingua: Inglese
Editore: Academic Press, 2020
Serie: Libro 2 di 3 - Hybrid Computational Intelligence for Pattern Analysis and Understanding
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Advanced Machine Vision Paradigms for Medical Image Analysis | Tapan K. Gandhi (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Academic Press | EAN 9780128192955 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu…[dot]de | Anbieter: preigu.

Advanced Machine Vision Paradigms for Medical Image Analysis
Gandhi, Tapan K. (EDT); Bhattacharyya, Siddhartha (EDT); De, Sourav (EDT); Konar, Debanjan (EDT); Dey, Sandip (EDT)
Lingua: Inglese
Editore: Academic Press, 2020
Serie: Libro 2 di 3 - Hybrid Computational Intelligence for Pattern Analysis and Understanding
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Lingua: Inglese
Editore: Elsevier Science, 2020
Serie: Libro 2 di 3 - Hybrid Computational Intelligence for Pattern Analysis and Understanding
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Explores major emerging trends in technology which are supporting the current advancement of medical image analysis with the help of computational intelligence Highlights the advancement of conventional approaches in the field of medical i.

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- Prima edizione
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condizione: New. 2025. 1st Edition. hardcover. . . . . .

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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.

Lingua: Inglese
Editore: Academic Press, 2020
Serie: Libro 2 di 3 - Hybrid Computational Intelligence for Pattern Analysis and Understanding
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Since 1994, the European Commission has undertaken various actions to expand the use of Earth observation (EO) from space in the Union and to stimulate value-added services based on the use of Earth observation satellite data.' By…supporting research and technological development activities in this area, DG XII responded to the need to increase the cost-effectiveness of space derived environmental information. At the same time, it has contributed to a better exploitation of this unique technology, which is a key source of data for environmental monitoring from local to global scale. MAVIRIC is part of the investment made in the context of the Environ ment and Climate Programme (1994-1998) to strengthen applied techniques, based on a better understanding of the link between the remote sensing signal and the underlying bio- geo-physical processes. Translation of this scientific know-how into practical algorithms or methods is a priority in order to con vert more quickly, effectively and accurately space signals into geographical information. Now the availability of high spatial resolution satellite data is rapidly evolving and the fusion of data from different sensors including radar sensors is progressing well, the question arises whether existing machine vision approaches could be advantageously used by the remote sensing community. Automatic feature/object extraction from remotely sensed images looks very attractive in terms of processing time, standardisation and implementation of operational processing chains, but it remains highly complex when applied to natural scenes. 352 pp. Englisch.

Lingua: Inglese
Editore: Academic Press, 2020
Serie: Libro 2 di 3 - Hybrid Computational Intelligence for Pattern Analysis and Understanding
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- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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- Print on Demand
Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Good overview of the state of the art in Europe in advanced image analysis techniques for remote sensingInsight to computer vision techniques and software tools that could be used in future remote sensing projectsFoc…usses primarily on new (and forth.

Lingua: Inglese
Editore: Elsevier Science & Technology, Academic Press, 2020
Serie: Libro 2 di 3 - Hybrid Computational Intelligence for Pattern Analysis and Understanding
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain co…nnectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the applicability of these meta-heuristic algorithms remains to be investigated. Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques can explore texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to already high healthcare costs. Englisch.

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- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 354 165 Figures, 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

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- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 354.

Lingua: Inglese
Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2011, 2011
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Since 1994, the European Commission has undertaken various actions to expand the use of Earth observation (EO) from space in the Union and to stimulate value-added services based on the use of Earth observation satellite data.' By supp…orting research and technological development activities in this area, DG XII responded to the need to increase the cost-effectiveness of space derived environmental information. At the same time, it has contributed to a better exploitation of this unique technology, which is a key source of data for environmental monitoring from local to global scale. MAVIRIC is part of the investment made in the context of the Environ ment and Climate Programme (1994-1998) to strengthen applied techniques, based on a better understanding of the link between the remote sensing signal and the underlying bio- geo-physical processes. Translation of this scientific know-how into practical algorithms or methods is a priority in order to con vert more quickly, effectively and accurately space signals into geographical information. Now the availability of high spatial resolution satellite data is rapidly evolving and the fusion of data from different sensors including radar sensors is progressing well, the question arises whether existing machine vision approaches could be advantageously used by the remote sensing community. Automatic feature/object extraction from remotely sensed images looks very attractive in terms of processing time, standardisation and implementation of operational processing chains, but it remains highly complex when applied to natural scenes.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 352 pp. Englisch.

Lingua: Inglese
Editore: Academic Pr, 2020
Serie: Libro 2 di 3 - Hybrid Computational Intelligence for Pattern Analysis and Understanding
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 266 pages. 9.00x6.00x0.98 inches. In Stock. This item is printed on demand.

Lingua: Inglese
Editore: Elsevier Science & Technology, Academic Press, 2020
Serie: Libro 2 di 3 - Hybrid Computational Intelligence for Pattern Analysis and Understanding
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- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 146,74
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connect…omics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the applicability of these meta-heuristic algorithms remains to be investigated. Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques can explore texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to already high healthcare costs.