Deep Learning for Crack-Like Object Detection
Synopsis
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.
Book details
- Author:
- Kaige Zhang, Heng-Da Cheng
- ISBN:
- 9781000871272
- Related ISBNs:
- 9781032181196, 9781003252948, 9781032181189
- Publisher:
- CRC Press
- Pages:
- N/A
- Reading age:
- Not specified
- Includes images:
- No
- Date of addition:
- 2023-03-20
- Usage restrictions:
- Copyright
- Copyright date:
- 2023
- Copyright by:
- N/A
- Adult content:
- No
- Language:
- English
- Categories:
- Computers and Internet, Nonfiction, Science, Technology