首页> 外文期刊>The international journal of pavement engineering >Protocol for the morphology analysis of SBS polymer modified bitumen images obtained by using fluorescent microscopy
【24h】

Protocol for the morphology analysis of SBS polymer modified bitumen images obtained by using fluorescent microscopy

机译:通过使用荧光显微镜获得的SBS聚合物改性沥青图像的形态分析的方案

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Fluorescent technique has been used to characterise the morphology of polymer modified bitumen for years. However, the main problem of this technique is a missing standardised protocol for image capture factors and processing algorithms (CF&PA). The purpose of this study was to find out the effects of CF&PA on morphology and set up a protocol for morphological analysis of SBS polymer-modified bitumen (PMB) using the fluorescent microscopy technique. In order to set up this protocol, fluorescent images were captured and processed with different CF&PA. Capture factors mainly include magnification, exposure time and storage format while processing algorithms include noise reduction, enhancement and segmentation. Morphological and parametric analysis indicated that all images must be captured under the same exposure time and should not be processed by white balance. Besides, four principles should be followed to determine the optimal magnification. As to the image storage format, JPEG 2000 was selected to retain the most details. The proper neighbourhood level was obtained from the particle number curve to realise noise reduction. Compared with other complicated segmentation algorithms, threshold methods are more suitable because of the typical two-phase characteristic of PMB. Because of potential change in detailed information of original images, enhancement was not recommended. Finally, the image capturing and processing steps and their levels were given based on the discussion above.
机译:荧光技术已被用于表征聚合物改性沥青的形态多年。然而,该技术的主要问题是用于图像捕获因子和处理算法的标准化协议(CF&PA)。本研究的目的是找出CF&PA对形态的影响,并使用荧光显微镜技术进行SBS聚合物改性沥青(PMB)的形态学分析的协议。为了设置该协议,用不同的CF&PA捕获并处理荧光图像。捕获因子主要包括放大率,曝光时间和存储格式,而处理算法包括降噪,增强和分割。形态学和参数分析表明,所有图像必须在相同的曝光时间下捕获,不应通过白平衡处理。此外,应遵循四个原则来确定最佳放大倍数。对于图像存储格式,选择JPEG 2000以保留最多的细节。从粒子数曲线获得适当的邻域级,以实现降噪。与其他复杂的分割算法相比,由于PMB的典型两相特性,阈值方法更适合。由于原始图像的详细信息潜在变化,不建议提高增强。最后,基于上述讨论给出了图像捕获和处理步骤及其级别。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号