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portada Deep Learning for Crack-Like Object Detection
Type
Physical Book
Publisher
Author
Language
English
Pages
100
Format
Paperback
ISBN13
9781032181196
Edition No.
1

Deep Learning for Crack-Like Object Detection

Kaige Zhang; Heng-Da Cheng (Author) · Crc Press · Paperback

Deep Learning for Crack-Like Object Detection - Kaige Zhang; Heng-Da Cheng

New Book Imported to Austria
Delivery: 07 Jul - 09 Jul Shipping: 5 to 6 business days.
36,48 €
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Synopsis "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.

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