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Deep Learning for Crack-Like Object Detection

  • Format
  • Bog, paperback
  • Engelsk
  • 100 sider

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Beskrivelse

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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Detaljer
  • SprogEngelsk
  • Sidetal100
  • Udgivelsesdato09-10-2024
  • ISBN139781032181196
  • Forlag Crc Press
  • MålgruppeFrom age 0
  • FormatPaperback
  • Udgave0
Størrelse og vægt
  • Vægt136 g
  • Dybde0,5 cm
  • coffee cup img
    10 cm
    book img
    13,9 cm
    21,5 cm

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