期刊文献+

有色示踪剂在溶质运移实验中的数字图像识别和处理 被引量:8

Understanding and treatment of digital images of dye tracers in solute transport experiments
下载PDF
导出
摘要 文章介绍了不同浓度高锰酸钾溶液的数字图像RGB识别方法,并将此方法运用到标准砂介质中高锰酸钾溶液浓度的拟合识别。在实验后期,提出了用高斯模板进行数字图像平滑处理来获得更精确的实验数据。本实验为砂柱溶质运移实验提供了一种简便而有效的溶质浓度测量方法。 The method of digital image understanding of KMnO4 solutions with different concentrations is introduced in this paper. It is used to the understanding of KMnO4 solutions in the media of standard sand. This method is cheaper and easier compared to the other kinds of solute transport experiments. Gaussian template is used to smooth the digital images in order to get better accuracy. This experiment provides an easy and effective method of concentration measurement for the column transport experiment.
出处 《水文地质工程地质》 CAS CSCD 北大核心 2007年第1期99-101,112,共4页 Hydrogeology & Engineering Geology
基金 国家自然科学基金资助项目(50579012)
关键词 RGB 数字图像识别 砂柱 溶质运移 高斯模板 RGB digital image understanding sand column solute transport Gaussian template
  • 相关文献

参考文献8

  • 1G J Klinker. A physical approach to color image understanding [ J ]. International Jounlal of Computer Vision, 1990, 21(4) : 7-78.
  • 2Schincafiol R A, E E Herderick, F W Schwartz. On the application of image analysis to determine concentration distributions in laboratory experiments [ J ]. J. Contam. Hydrol., 1993,12:197 - 215.
  • 3P Abeby,J Forrer, C Steinmeier, et al. Image analysis for determination of dye tracer concentration in sand columns[J]. Soll Sci. Soc. Am. J., 1997, 61:33- 35.
  • 4R P Ewing, R Horton. Discriminating dyes in soil with color image analysis[J]. Soil Sci. Soc. Am. J., 1999,63 : 18 - 24.
  • 5Magnus Persson. Accurate dye tracer concentration estimations using image analysis[J]. Soil Sci. Soc. Am.J., 2005, 69:967- 975.
  • 6P Abeby, U Schultze, D Brainchotte, et al. Flühler.Fluorescence imaging tracer distributions in soil profiles [J]. Environ. Sci. Technol., 2001,35:753-760.
  • 7高阳.数字图像处理[M].南京:南京大学AI实验室,2005.
  • 8Rafael C Gonzalez, Richard E Woods, Steven L Eddins.Digital image processing using MATLAB [ M ]. House of Electronics Industry, 2004.

同被引文献92

引证文献8

二级引证文献33

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部