| 沥青混合料CT扫描切片图像分割算法研究 |
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| 引用本文： | 张天航,段越华.沥青混合料CT扫描切片图像分割算法研究[J].广东公路交通,2010(3):5-8,14. |
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| 作者姓名： | 张天航 段越华 |
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| 作者单位： | 1. 广州新软计算机技术有限公司,广州,510101
2. 华南理工大学道路工程研究所,广州,510641 |
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| 摘 要： | 为科学地利用工业CT扫描的沥青混合料断面图像,通过比较图像分割学科的阈值法及模式识别领域的混合高斯模型及模糊C均值聚类三种方法,采取一系列二分类的策略较好地将二维切片图像区分为几类物质,并实现了自动批处理大量图片的过程,最后采用马歇尔试件进行了验证。
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| 关 键 词： | 道路工程 沥青混合料 混合高斯模型 |
The research of different segmentation methods based on CT scan images of asphalt mixtures |
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| ZHANG Tian-hang,DUAN Yue-hua.The research of different segmentation methods based on CT scan images of asphalt mixtures[J].Guangdong Highway Communications,2010(3):5-8,14. |
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| Authors: | ZHANG Tian-hang DUAN Yue-hua |
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| Institution: | ZHANG Tian-hang1,DUAN Yue-hua2(1.Soft Computer Technology Co.,Ltd.Guangzhou,Guangzhou 510101,China,2.South China University of Technology Institute of Road Works,Guangzhou 510641,China) |
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| Abstract: | For the scientific use of industrial CT sectional images of the asphalt mixture,the threshold segmentation and pattern recognition methods of Gaussian mixture model and fuzzy C means clustering were compared,a series of 2-classificatin strategy were adopted to divided the image into different substances,and a large number of images automatically batch process were implemented,and finally the different methods were compared by the Marshall specimens. |
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| Keywords: | road engineering asphalt mixture gaussian-mixture model |
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