Hassaballah Mahmoud, Awad Ali Ismail - Deep Learning In Computer Vision. Principles And Applications.pdf
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Deep Learning in
Computer Vision
Digital Imaging and Computer Vision Series
Series Editor
Rastislav Lukac
Foveon, Inc./Sigma Corporation San Jose, California, U.S.A.
Dermoscopy Image Analysis
by M. Emre Celebi, Teresa Mendonça, and Jorge S. Marques
Semantic Multimedia Analysis and Processing
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Microarray Image and Data Analysis: Theory and Practice
by Luis Rueda
Perceptual Digital Imaging: Methods and Applications
by Rastislav Lukac
Image Restoration: Fundamentals and Advances
by Bahadir Kursat Gunturk and Xin Li
Image Processing and Analysis with Graphs: Theory and Practice
by Olivier Lézoray and Leo Grady
Visual Cryptography and Secret Image Sharing
by Stelvio Cimato and Ching-Nung Yang
Digital Imaging for Cultural Heritage Preservation: Analysis,
Restoration, and Reconstruction of Ancient Artworks
by Filippo Stanco, Sebastiano Battiato, and Giovanni Gallo
Computational Photography: Methods and Applications
by Rastislav Lukac
Super-Resolution Imaging
by Peyman Milanfar
Deep Learning in
Computer Vision
Principles and Applications
Edited by
Mahmoud Hassaballah and Ali Ismail Awad
CRC Press
Taylor & Francis Group
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Boca Raton, FL 33487-2742
©
2020 by Taylor & Francis Group, LLC
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Library of Congress Cataloging‑in‑Publication Data
Names: Hassaballah, Mahmoud, editor. | Awad, Ali Ismail, editor.
Title: Deep learning in computer vision : principles and applications /
edited by M. Hassaballah and Ali Ismail Awad.
Description: First edition. | Boca Raton, FL : CRC Press/Taylor and
Francis, 2020. | Series: Digital imaging and computer vision | Includes
bibliographical references and index.
Identifers: LCCN 2019057832 (print) | LCCN 2019057833 (ebook) | ISBN
9781138544420 (hardback ; acid-free paper) | ISBN 9781351003827 (ebook)
Subjects: LCSH: Computer vision. | Machine learning.
Classifcation: LCC TA1634 .D437 2020 (print) | LCC TA1634 (ebook) | DDC
006.3/7--dc23
LC record available at https://lccn.loc.gov/2019057832
LC ebook record available at https://lccn.loc.gov/2019057833
Visit the Taylor & Francis Web site at
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