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题名: Developing a PSO-Based Projection Algorithm for a Porosity Detection System Using X-Ray CT Images of Permeable Concrete
作者: Yi-Zeng Hsieh
Mu-Chun Su
Jieh-Haur Chen
Bevan Annuerine Badjie
Yu-Min Su
贡献者: 國立臺灣海洋大學:電機工程學系
关键词: Concrete
Asphalt
Computed tomography
Aggregates
X-ray imaging
Projection algorithms
Image reconstruction
日期: 2018-10
上传时间: 2018-11-30T07:44:25Z
出版者: IEEE Access
摘要: Abstract: Permeable concrete is widely used as a road surfacing material due to its sturdiness and ability to be quickly repaired. The porosity of concrete has been used as a predictive indicator for the properties of the concrete. Traditional methods for measuring this porosity are feasible but can be time consuming. In this paper, we propose a Particle Swarm Optimization (PSO) based projection algorithm for visualization of the high-dimensional data as a two-dimensional scatter plot for detecting porosity in permeable concrete from Xray Computerized Tomography (CT) images. We regard the proposed projection algorithm as an improved version of Sammon’s nonlinear mapping. The projected scatter plot allows for straightforward analysis of the inherent structure of clusters within scanned images. Several data sets including artificial data sets and reallife imaging data were tested to demonstrate the performance of the proposed projection algorithm. The model created in this study can augment the traditional methods for examining porosity by providing visual images for decision makers to make correct decisions for future problems. With an accuracy of > 99%, the visualized images provide a clearer understanding of the inner structure of pervious concrete and enhance the study of the correlation between the properties of the concrete.
關聯: 6 pp.64406 - 64415
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51478
显示于类别:[電機工程學系] 期刊論文

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