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Books > Computing & IT > General theory of computing
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Deep Learning for Crack-Like Object Detection (Hardcover)
Loot Price: R1,479
Discovery Miles 14 790
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Deep Learning for Crack-Like Object Detection (Hardcover)
Expected to ship within 9 - 17 working days
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Computer vision-based crack-like object detection has many useful
applications, such as pavement surface inspection, underground
pipeline inspection, bridge cracking monitoring, railway track
assessment, etc. However, in most contexts, cracks appear as thin,
irregular long-narrow objects, and often are buried into complex,
textured background with high diversity which make the crack
detection very challenging. During the past a few years, the deep
learning technique has achieved great success and has been utilized
for solving a variety of object detection problems. However, using
deep learning for accurate crack localization is non-trivial. This
book discusses crack-like object detection problem in a
comprehensive way. It starts by discussing traditional image
processing approaches for solving this problem, and then introduces
deep learning-based methods. The book provides a comprehensive
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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