Development of an Automatic Detector of Cracks in Concrete Using Machine Learning. (2017)
- Record Type:
- Journal Article
- Title:
- Development of an Automatic Detector of Cracks in Concrete Using Machine Learning. (2017)
- Main Title:
- Development of an Automatic Detector of Cracks in Concrete Using Machine Learning
- Authors:
- Yokoyama, Suguru
Matsumoto, Takashi - Abstract:
- Abstract: This study is to develop a detector that automatically detects cracks from the photographs of concrete structures, using convolution neural network which is a kind of deep learning. Firstly, photographs of concrete were collected for the learning data. Secondly, pictures of cracked part, chalk letter part, joint part, surface part and others part were produced from these photographs for the dataset. Thirdly, classifier to classify into these 5 class from pictures was created using the dataset and convolution neural network. Finally, the automatic detector was produced using this classifier.
- Is Part Of:
- Procedia engineering. Volume 171(2017)
- Journal:
- Procedia engineering
- Issue:
- Volume 171(2017)
- Issue Display:
- Volume 171, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 171
- Issue:
- 2017
- Issue Sort Value:
- 2017-0171-2017-0000
- Page Start:
- 1250
- Page End:
- 1255
- Publication Date:
- 2017
- Subjects:
- machine learning -- deep learning -- cracked concrete -- automatic detection
Engineering -- Congresses
Engineering -- Periodicals
Engineering
Conference proceedings
Periodicals
620.005 - Journal URLs:
- http://www.sciencedirect.com/science/journal/18777058 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.proeng.2017.01.418 ↗
- Languages:
- English
- ISSNs:
- 1877-7058
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 764.xml