期刊文献+

基于形态学重建颗粒分析的微囊体测量方法 被引量:2

Measurement of microcapsules using morphological reconstruction by opening based granulometry
下载PDF
导出
摘要 电子墨水的制作过程中,微囊体颗粒的大小及均匀性是衡量其质量的重要指标,尽管可通过形态学颗粒分析等手段统计出这些参数,但由于颗粒分析是基于形态学开运算的,在测量过程中,容易造成微囊体颗粒的形状和大小改变。为此提出了一种基于形态学重建颗粒分析的微囊体图像测量方法,首先将获取的彩色微囊体颗粒图像转化为灰度图像,然后利用形态学区域开滤除小噪声斑点后,采用双阈值进行二值化;通过分水岭变换分离相互粘连的微囊颗粒体,最后采用基于形态学开重建的颗粒分析,在有效保证微囊体颗粒形状和大小的前提下,准确统计出微囊体颗粒的大小分布情况。实验表明,该方法能准确有效地统计出微囊体颗粒的大小分布等指标。 The size distribution and uniformity of mierocapsules are the important properties to indicate the quality of electronic ink during preparation of eleetronic.Ahhough morphological granulometry is common way to obtain these properties,but it usually does not hold the size and shape of the microcapsules during the measurement,since it is based the morphological opening operators.Tu gel a last and precise measurement,a method for measuring size distribution of mieroeapsules is proposed based on nlorphological image pre-processing and morphological reconstruction by opening based grannlometry.First,aequired color image of mierocapsules microscope is transfurmed to grey scale image,and then morphological area opening is used to remove small speckle noise and double threshing is adapted to obtain binary image.Second,On the basis of pre-processed binary image,marker controlled watershed transform is used to segment contacted mierocapsules each other.Finally,for the purpose of getting, precise results,morphological recunstruetion by opening based granulometry is served to estimate size distribution of mierocapsules.Experiment shows that this method is teasible and precise to lneasure size distribution and uniformity of microcapsules.
作者 王小鹏
出处 《计算机工程与应用》 CSCD 北大核心 2007年第33期19-21,共3页 Computer Engineering and Applications
基金 国家高技术研究发展计划(863)( the National High-Tech Research and Development Plan of China under Grant No.2006AA02Z499) 兰州交通大学"青蓝"人才工程基金项目
关键词 图像分析 形态学开重建 颗粒分析 微袭体测量 image analysis morphological reconstruction hy opening granulometry microcapsules measuring
  • 相关文献

参考文献12

  • 1Wang Jian-ping.Preparation of microcapsules eontaining two-phase core materials[J].Langmuir, 2004,20( 25 ) : 10845-10850.
  • 2Castleman K R.Digital image processing [M].[S.l.]:Prentiee Hall, 1998.
  • 3Illingworth J,Kittler J.A survey of the hough transform[J].Comput Vision Graphics linage Processing, 1988,44:87-116.
  • 4Soille P.Morphological image analysis:principles and applications[M]. 2nd ed.Berlin : Springer, 2003.
  • 5Vincent L.Opening trees and local granulometries[C].Proc Mathematical Morphology and Its Applications to Signal Processing, Georgia, USA, 1996, 1 : 273-280.
  • 6Di Ruberto C,Dempeslers A,Khan S,et al.Analysis of infected blood cell images using nlorphological operators [J].Image and Vision Computing,2002,20.133-146.
  • 7Valdek Mikll.Characteriization of powder particle morphology[J]. Proc Estonian Acad Sci Eng,2001,7(1 ) :22-34.
  • 8Mukhopadhyay S,Chanda B.An edge preserving noise smoothing technique using muhiscale morphology[J],Signal Processing,2002,82: 527-544.
  • 9崔屹编.图象处理与分析—数学形态学方法及应用[M].北京:科学出版社,2002.
  • 10Wang Xiaopeng.Noise image segmentation based on morphological granulometry[C]//The Sixth International Conference on Electronic Measurement and Instrument,Taiyuan,China,ICEMI2003,2003,1: 301-304.

同被引文献14

引证文献2

二级引证文献3

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