Mastercurve-based image analysis method for curing compound quality control
- Authors
- Jung, YooSeok; Lee, Jae Hoon; Mun, Nam Sik; Cho, Yoon-Ho
- Issue Date
- Jan-2017
- Publisher
- KOREAN SOCIETY OF CIVIL ENGINEERS-KSCE
- Keywords
- curing compound; concrete pavement; quality control; image processing; mastercurve
- Citation
- KSCE JOURNAL OF CIVIL ENGINEERING, v.21, no.1, pp 253 - 257
- Pages
- 5
- Journal Title
- KSCE JOURNAL OF CIVIL ENGINEERING
- Volume
- 21
- Number
- 1
- Start Page
- 253
- End Page
- 257
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/4946
- DOI
- 10.1007/s12205-016-0277-z
- ISSN
- 1226-7988
1976-3808
- Abstract
- Curing compounds are widely used to cure concrete pavement because of their high efficiency and simple usability. Image processing has been proposed to facilitate quality control during construction by including a white-colored pigment in the sprayed compound. However, errors can occur as a result of a number of variables such as camera aperture, shutter speed, and illuminance during the picture-taking process. This paper proposes a method in which the "mastercurve" concept is applied to standardize the camera aperture and shutter speed. The shift function, y = 0.0067x(2) - 0.2305x + 1.4171, is applied between the aperture and shutter speed, and a brightness value enabled to classify curing compounds under the same illuminance condition. In addition, the correlation between the illuminance and brightness of the images are identified via regression analysis. The results of analysis of sample images under various conditions indicate that the relative application rate of the curing compound can be evaluated. These results demonstrate that the proposed image processing methodology is suitable for curing compound quality control.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > ETC > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/4946)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.