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Deep Learning for Crack-Like Object Detection

Af: Heng-Da Cheng, Kaige Zhang Engelsk Hardback

Deep Learning for Crack-Like Object Detection

Af: Heng-Da Cheng, Kaige Zhang Engelsk Hardback
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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.

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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.

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Produktdetaljer
Sprog: Engelsk
Sider: 100
ISBN-13: 9781032181189
Indbinding: Hardback
Udgave:
ISBN-10: 1032181184
Kategori: Automatisk styrings- & reguleringsteknik
Udg. Dato: 20 mar 2023
Længde: 12mm
Bredde: 144mm
Højde: 223mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 20 mar 2023
Forfatter(e): Heng-Da Cheng, Kaige Zhang
Forfatter(e) Heng-Da Cheng, Kaige Zhang

Kategori Automatisk styrings- & reguleringsteknik

ISBN-13 9781032181189

Sprog Engelsk

Indbinding Hardback

Sider 100

Udgave

Længde 12mm

Bredde 144mm

Højde 223mm

Udg. Dato 20 mar 2023

Oplagsdato 20 mar 2023

Forlag Taylor & Francis Ltd