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Paperback. Condition: new. Paperback. Computer vision-based crack-like object detection has many useful applications, such as inspecting/monitoring pavement surface, underground pipeline, bridge cracks, railway tracks etc. However, in most contexts, cracks appear as thin, irregular long-narrow objects, and often are buried in complex, textured background with high diversity which make the crack detection very challenging. During the past a few years, deep learning technique has achieved great success and has been utilized for solving a variety of object detection problems.This book discusses crack-like object detection problem comprehensively. It starts by discussing traditional image processing approaches for solving this problem, and then introduces deep learning-based methods. It provides a detailed review of object detection problems and focuses on the most challenging problem, crack-like object detection, to dig deep into the deep learning method. It includes examples of real-world problems, which are easy to understand and could be a good tutorial for introducing computer vision and machine learning. Accurately detecting crack localization is not an easy task. This book addresses important issues in detecting crack-like objects and provides a practical smart pavement surface inspection system using deep learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032181196
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: Majestic Books, Hounslow, United Kingdom
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Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 106 pages. 8.50x5.43x8.50 inches. In Stock. This item is printed on demand. Seller Inventory # __1032181192
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Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781032181196
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 140. Seller Inventory # B9781032181196
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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pages cm First edition "A Science Publishers book. Includes bibliographical references and index. Seller Inventory # 26397566879
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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