Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Kurv

Deep Learning for Crack-Like Object Detection

Af: Heng-Da Cheng, Kaige Zhang Engelsk Hardback

Deep Learning for Crack-Like Object Detection

Af: Heng-Da Cheng, Kaige Zhang Engelsk Hardback
Tjek vores konkurrenters priser

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.

Tjek vores konkurrenters priser
Normalpris
kr 497
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

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.

Produktdetaljer
Sprog: Engelsk
Sider: 100
ISBN-13: 9781032181189
Indbinding: Hardback
Udgave:
ISBN-10: 1032181184
Udg. Dato: 20 mar 2023
Længde: 12mm
Bredde: 144mm
Højde: 223mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 20 mar 2023
Forfatter(e): Heng-Da Cheng, Kaige Zhang
Forfatter(e) Heng-Da Cheng, Kaige Zhang


Kategori Automatisk styrings- & reguleringsteknik


ISBN-13 9781032181189


Sprog Engelsk


Indbinding Hardback


Sider 100


Udgave


Længde 12mm


Bredde 144mm


Højde 223mm


Udg. Dato 20 mar 2023


Oplagsdato 20 mar 2023


Forlag Taylor & Francis Ltd