Mastercurve-based image analysis method for curing compound quality control
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- 作者：YooSeok Jung ; Jae Hoon Lee ; Nam Sik Mun ; Yoon-Ho Cho
- 关键词：curing compound ; concrete pavement ; quality control ; image processing ; mastercurve
- 刊名：KSCE Journal of Civil Engineering
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：21
- 期：1
- 页码：253-257
- 全文大小：
- 刊物类别：Engineering
- 刊物主题：Civil Engineering; Industrial Pollution Prevention; Geotechnical Engineering & Applied Earth Sciences;
- 出版者：Korean Society of Civil Engineers
- ISSN：1976-3808
- 卷排序：21
文摘
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 = 0.0067x2 − 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.