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Ajouter au panierHardcover. Etat : Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 185.
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Ajouter au panierEtat : New. In.
Edité par Chapman and Hall/CRC 2022-04-29, 2022
ISBN 10 : 0367531577 ISBN 13 : 9780367531577
Langue: anglais
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Ajouter au panierPaperback. Etat : New.
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Taylor and Francis Ltd, GB, 2022
ISBN 10 : 0367531577 ISBN 13 : 9780367531577
Langue: anglais
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Ajouter au panierPaperback. Etat : New. Image Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing-one of the first books to integrate these topics together. By improving readers' knowledge of image acquisition techniques and corresponding image processing, the book will help them perform experiments more effectively and cost efficiently as well as analyze and measure more accurately. Long recognized as one of the easiest languages for non-programmers to learn, Python is used in a variety of practical examples.A refresher for more experienced readers, the first part of the book presents an introduction to Python, Python modules, reading and writing images using Python, and an introduction to images. The second part discusses the basics of image processing, including pre/post processing using filters, segmentation, morphological operations, and measurements. The second part describes image acquisition using various modalities, such as x-ray, CT, MRI, light microscopy, and electron microscopy. These modalities encompass most of the common image acquisition methods currently used by researchers in academia and industry. Features Covers both the physical methods of obtaining images and the analytical processing methods required to understand the science behind the images. Contains many examples, detailed derivations, and working Python examples of the techniques. Offers practical tips on image acquisition and processing. Includes numerous exercises to test the reader's skills in Python programming and image processing, with solutions to selected problems, example programs, and images available on the book's web page.New to this edition Machine learning has become an indispensable part of image processing and computer vision, so in this new edition two new chapters are included: one on neural networks and the other on convolutional neural networks. A new chapter on affine transform and many new algorithms. Updated Python code aligned to the latest version of modules.
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Ajouter au panierEtat : New. 2022. 2nd Edition. Paperback. . . . . .
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Ajouter au panierPaperback. Etat : Brand New. 2nd edition. 421 pages. 9.50x6.00x1.00 inches. In Stock.
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Ajouter au panierEtat : New. 2022. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.
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Ajouter au panierEtat : New. Ravishankar Chityala, Ph.D. is Principal Engineer at IonPath, with eighteen years of experience in image processing. He teaches Python programming and Deep learning using Tensorow at the University of California Santa Cruz, Silicon Valle.
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Edité par Taylor & Francis Ltd Apr 2022, 2022
ISBN 10 : 0367531577 ISBN 13 : 9780367531577
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - This book provides readers with a sound foundation in both image acquisition and image processing-one of the first books to integrate these topics together. This updated edition includes new chapters on neural networks, convolutional neural networks, affine transform and many new algorithms.
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Ajouter au panierTaschenbuch. Etat : Neu. Image Processing and Acquisition using Python | Ravishankar Chityala (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Taylor & Francis Ltd | EAN 9780367531577 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Edité par Taylor and Francis Ltd, GB, 2022
ISBN 10 : 0367531577 ISBN 13 : 9780367531577
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
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Ajouter au panierPaperback. Etat : New. Image Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing-one of the first books to integrate these topics together. By improving readers' knowledge of image acquisition techniques and corresponding image processing, the book will help them perform experiments more effectively and cost efficiently as well as analyze and measure more accurately. Long recognized as one of the easiest languages for non-programmers to learn, Python is used in a variety of practical examples.A refresher for more experienced readers, the first part of the book presents an introduction to Python, Python modules, reading and writing images using Python, and an introduction to images. The second part discusses the basics of image processing, including pre/post processing using filters, segmentation, morphological operations, and measurements. The second part describes image acquisition using various modalities, such as x-ray, CT, MRI, light microscopy, and electron microscopy. These modalities encompass most of the common image acquisition methods currently used by researchers in academia and industry. Features Covers both the physical methods of obtaining images and the analytical processing methods required to understand the science behind the images. Contains many examples, detailed derivations, and working Python examples of the techniques. Offers practical tips on image acquisition and processing. Includes numerous exercises to test the reader's skills in Python programming and image processing, with solutions to selected problems, example programs, and images available on the book's web page.New to this edition Machine learning has become an indispensable part of image processing and computer vision, so in this new edition two new chapters are included: one on neural networks and the other on convolutional neural networks. A new chapter on affine transform and many new algorithms. Updated Python code aligned to the latest version of modules.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Ajouter au panierEtat : As New. Unread book in perfect condition.
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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days. 891.