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Deep Learning for Crack-Like Object Detection (en Inglés)
Kaige Zhang
(Autor)
·
Heng-Da Cheng
(Autor)
·
CRC Press
· Tapa Dura
Deep Learning for Crack-Like Object Detection (en Inglés) - Zhang, Kaige ; Cheng, Heng-Da
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Origen: Estados Unidos
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Reseña del libro "Deep Learning for Crack-Like Object Detection (en Inglés)"
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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