Deep Learning for Crack-Like Object Detection 1st Edition
by Kaige Zhang(Author), Heng-Da Cheng(Author)
Publisher finelybook 出版社: CRC Press; 1st edition (March 20, 2023)
Language 语言: English
Print Length 页数: 100 pages
ISBN-10: 1032181184
ISBN-13: 9781032181189
Book Description
By finelybook
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.
