Zhang, Kaige
Deep Learning for Crack-Like Object Detection
- ISBN 13:
- 9781032181196
- author:
- Zhang, Kaige
- format:
- Paperback
- publisher:
- CRC Press
- language:
- English
- Publication Year:
- 2024
- Pages:
- 108
- Dimensions:
- 21.6 x 14 x 0.6 centimetres (0.4
- Genre:
- Science, Biology, General,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Deep Learning for Crack-Like Object Detection by Kaige Zhang and Heng-Da Cheng provides a comprehensive approach to solving the challenging task of detecting cracks in images. Traditional image processing methods are first discussed, before introducing deep learning-based solutions. The authors delve into the most complex object detection problem - crack-like object detection - and explore real-world applications, making this book an ideal introduction to computer vision and machine learning. The book covers a range of techniques for tackling this problem, including examples of real-world issues that can be easily understood. By examining both traditional approaches and deep learning methods, readers will gain a thorough understanding of the challenges and opportunities in crack-like object detection. This book is suitable for those interested in computer vision, machine learning, and image processing, particularly those looking to apply these techniques to real-world problems.
Related Products
Related Products
3,000 Deep-Sky Objects
Aranda, Ted
Developing Learning Objectives
Phillips, Jack J.
Deep-Sky Companions: The Messier Objects
O'Meara, Stephen James
Deep-Sky Companions: The Caldwell Objects
O'Meara, Stephen James
Smoke & Cracked Mirrors (The York Ladies' Detective Agency Mysteries)
Charlton, Karen