球形
小波
纹理(宇宙学)
微尺度化学
骨料(复合)
粒子(生态学)
卡钳
二值图像
人工智能
数学
几何学
计算机视觉
图像处理
计算机科学
材料科学
地质学
图像(数学)
海洋学
数学教育
复合材料
作者
C. Chandan,K. Sivakumar,Eyad Masad,Thomas Fletcher
出处
期刊:Journal of Computing in Civil Engineering
[American Society of Civil Engineers]
日期:2004-01-01
卷期号:18 (1): 75-82
被引量:106
标识
DOI:10.1061/(asce)0887-3801(2004)18:1(75)
摘要
This paper presents image analysis techniques by which to characterize the texture, angularity, and form of aggregate particles used in highway construction and geotechnical applications. For texture analysis, wavelet decomposition in gray scale images of particles is performed. The results demonstrate that multiscale wavelet representation is a powerful tool by which to capture the texture and to differentiate “true” texture from “false” texture caused by variations of natural color on a particle surface. Angularity and form analyses of particles are done using binary images. A gradient-based method is employed to describe angularity. This method is shown to differentiate between particles with different angularity characteristics. Form analysis of the particles includes computing the shape factor and sphericity index, which are based on measurements of the shortest, intermediate, and longest axis of the particle. Particle thickness is measured using the feature of an autofocus microscope. The width and length are calculated by an eigenvalue decomposition method of two-dimensional particle projections. Details of an interactive software developed to compute the different aggregate shape factors are discussed. The results indicate that these calculated values of the particle dimensions match very closely the values measured manually using a digital caliper.
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