Department of Building Engineering Science and Technology, Politecnico di Milano, via Marco d'Oggiono, 18/a, Lecco, Italy.
Sensors (Basel). 2010;10(8):7469-95. doi: 10.3390/s100807469. Epub 2010 Aug 10.
This paper presents the development and implementation of three image-based methods used to detect and measure the displacements of a vast number of points in the case of laboratory testing on construction materials. Starting from the needs of structural engineers, three ad hoc tools for crack measurement in fibre-reinforced specimens and 2D or 3D deformation analysis through digital images were implemented and tested. These tools make use of advanced image processing algorithms and can integrate or even substitute some traditional sensors employed today in most laboratories. In addition, the automation provided by the implemented software, the limited cost of the instruments and the possibility to operate with an indefinite number of points offer new and more extensive analysis in the field of material testing. Several comparisons with other traditional sensors widely adopted inside most laboratories were carried out in order to demonstrate the accuracy of the implemented software. Implementation details, simulations and real applications are reported and discussed in this paper.
本文介绍了三种基于图像的方法的开发和实施,这些方法用于在建筑材料的实验室测试中检测和测量大量点的位移。从结构工程师的需求出发,本文实现并测试了三个用于纤维增强试件裂缝测量和通过数字图像进行 2D 或 3D 变形分析的专用工具。这些工具利用了先进的图像处理算法,可以集成甚至替代当今大多数实验室中使用的一些传统传感器。此外,所实现软件的自动化、仪器的有限成本以及对无限数量的点进行操作的可能性,为材料测试领域提供了新的、更广泛的分析方法。本文进行了多次与大多数实验室广泛采用的其他传统传感器的比较,以证明所实现软件的准确性。本文报告并讨论了实施细节、模拟和实际应用。