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Download Deep Learning for Crack-Like Object Detection by Kaige Zhang in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Deep Learning for Crack-Like Object Detection
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.
Detailed Information
Author: | Kaige Zhang |
---|---|
Publication Year: | 2023 |
ISBN: | 1000871274 |
Pages: | 107 |
File Size: | 38 |
Format: | |
Price: | FREE |
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