Deep Learning for Crack-Like Object Detection

By Heng-Da Cheng and Kaige Zhang

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 1032181192
• ISBN13: 9781032181196
• Release Date: October 2024
• Publisher: CRC Press
• Length: 100 Pages
• Weight: 0.30 lbs.
• Dimensions: 0.2" x 5.5" x 8.5"