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US$ 18.07
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Deep Learning for Crack-Like Object Detection (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032181192 ISBN 13: 9781032181196
Language: English
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.
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US$ 31.28
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Deep Learning for Crack-Like Object Detection
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032181192 ISBN 13: 9781032181196
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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US$ 34.88
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 140.
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Deep Learning for Crack-Like Object Detection
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: New. pages cm First edition "A Science Publishers book. Includes bibliographical references and index.
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Deep Learning for Crack-like Object Detection
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 34.87
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Add to basketPaperback. Condition: Brand New. 106 pages. 8.50x5.43x8.50 inches. In Stock.
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Deep Learning for Crack-like Object Detection
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Deep Learning for Crack-Like Object Detection
Published by Taylor & Francis Ltd (Sales) Okt 2024, 2024
ISBN 10: 1032181192 ISBN 13: 9781032181196
Language: English
US$ 42.17
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Add to basketTaschenbuch. Condition: Neu. Neuware - 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.
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Deep Learning for Crack-Like Object Detection (Hardcover)
Published by Taylor & Francis Ltd, London, 2023
ISBN 10: 1032181184 ISBN 13: 9781032181189
Language: English
Hardcover. Condition: new. Hardcover. 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.
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Deep Learning for Crack-Like Object Detection
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032181184 ISBN 13: 9781032181189
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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US$ 71.40
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Deep Learning for Crack-Like Object Detection (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032181192 ISBN 13: 9781032181196
Language: English
US$ 45.38
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Add to basketPaperback. 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Deep Learning for Crack-Like Object Detection (CRC Focus)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 72.17
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Deep Learning for Crack-Like Object Detection (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032181192 ISBN 13: 9781032181196
Language: English
US$ 40.55
Convert currencyUS$ 50.24 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Deep Learning for Crack-Like Object Detection
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032181184 ISBN 13: 9781032181189
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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First Edition
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Deep Learning for Crack-Like Object Detection
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 80.43
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Deep Learning for Crack-Like Object Detection
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 90.12
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Deep Learning for Crack-Like Object Detection
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032181184 ISBN 13: 9781032181189
Language: English
Condition: New. 2023. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
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Add to basketHardcover. Condition: Brand New. 100 pages. 8.50x5.44x1.30 inches. In Stock.
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US$ 80.11
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Add to basketGebunden. Condition: New. Kaige Zhang has a B.S. degree (2011) in electronic engineering from the Harbin Institute of Technology, China, and a Ph.D. degree (2019) in computer science from Utah State University, USA. His research interests include computer vision,.
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Deep Learning for Crack-Like Object Detection (Hardcover)
Published by Taylor & Francis Ltd, London, 2023
ISBN 10: 1032181184 ISBN 13: 9781032181189
Language: English
US$ 121.51
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
