Deep Learning for Crack-Like Object Detection PDF
by Kaige Zhang, Heng-Da Cheng
Description
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.
Information
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Download - Immediately Available
- Format:PDF
- Pages:106 pages
- Publisher:CRC Press
- Publication Date:20/03/2023
- Category:
- ISBN:9781000871272
Other Formats
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- Hardback from £42.99
Information
-
Download - Immediately Available
- Format:PDF
- Pages:106 pages
- Publisher:CRC Press
- Publication Date:20/03/2023
- Category:
- ISBN:9781000871272
