Librería: booksdeck, Santa clara, CA, Estados Unidos de America
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Librería: Goodwill of Silicon Valley, SAN JOSE, CA, Estados Unidos de America
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Librería: Amazing Books Pittsburgh, Pittsburgh, PA, Estados Unidos de America
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Añadir al carritohardcover. Condición: New. 4th Edition. Ships in a BOX from Central Missouri! Ships same or next business day. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Añadir al carritoCondición: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Añadir al carritoCondición: As New. Unread book in perfect condition.
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Añadir al carritoCondición: As New. Unread book in perfect condition.
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Idioma: Inglés
Publicado por Pearson Education (US), 2017
ISBN 10: 0133356728 ISBN 13: 9780133356724
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 333,24
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Añadir al carritoHardcover. Condición: new. Hardcover. Introduce your students to image processing with the industrys most prized text For 40 years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition, which celebrates the books 40th anniversary, is based on an extensive survey of faculty, students, and independent readers in 150 institutions from 30 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maximally-stable extremal regions (MSERs), graph cuts, k-means clustering and superpixels, active contours (snakes and level sets), and exact histogram matching. Major improvements were made in reorganizing the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. Major revisions and additions were made to examples and homework exercises throughout the book. For the first time, we added MATLAB projects at the end of every chapter, and compiled support packages for you and your teacher containing, solutions, image databases, and sample code. The support materials for this title can be found at Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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EUR 332,32
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Añadir al carritoCondición: New. KlappentextrnrnFor courses in Image Processing and Computer Vision. Introduce your students to image processing with the industry s most prized text For 40 years, Image Processing has been the foundational text for the .
EUR 436,45
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Añadir al carritoHardcover. Condición: new. New Copy. Customer Service Guaranteed.
Idioma: Inglés
Publicado por Pearson Education (US), 2017
ISBN 10: 0133356728 ISBN 13: 9780133356724
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 524,71
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. Introduce your students to image processing with the industrys most prized text For 40 years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition, which celebrates the books 40th anniversary, is based on an extensive survey of faculty, students, and independent readers in 150 institutions from 30 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maximally-stable extremal regions (MSERs), graph cuts, k-means clustering and superpixels, active contours (snakes and level sets), and exact histogram matching. Major improvements were made in reorganizing the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. Major revisions and additions were made to examples and homework exercises throughout the book. For the first time, we added MATLAB projects at the end of every chapter, and compiled support packages for you and your teacher containing, solutions, image databases, and sample code. The support materials for this title can be found at Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.