An algorithm of image segmentation for overlapping grain image

WANG Zhi; JIN Guang; SUN Xiao-wei

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An algorithm of image segmentation for overlapping grain image

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- An algorithm of image segmentation for overlapping grain image
- An algorithm of image segmentation for overlapping grain image
- 光学精密工程 2005年13卷第5期页码：592-599
- 作者机构：
  
  1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences Changchun,China,130033
  2. Graduate School of Chinese Academy of Sciences Beijing,China,100039
- 作者简介：
- 基金信息：
- DOI：
  中图分类号：
- 收稿日期：2005-04-16，
  
  修回日期：2005-06-27，
  
  网络出版日期：2005-10-30，
  
  纸质出版日期：2005-10-30
- 稿件说明：
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WANG Zhi, JIN Guang, SUN Xiao-wei. An algorithm of image segmentation for overlapping grain image[J]. 光学精密工程, 2005,13(5):592-599.

WANG Zhi, JIN Guang, SUN Xiao-wei. An algorithm of image segmentation for overlapping grain image[J]. Optics and precision engineering, 2005, 13(5): 592-599.
WANG Zhi, JIN Guang, SUN Xiao-wei. An algorithm of image segmentation for overlapping grain image[J]. 光学精密工程, 2005,13(5):592-599. DOI：

WANG Zhi, JIN Guang, SUN Xiao-wei. An algorithm of image segmentation for overlapping grain image[J]. Optics and precision engineering, 2005, 13(5): 592-599. DOI：

摘要

Aiming at measurement of granularity size of nonmetal grain

an algorithm of image segmentation and parameter calculation for microscopic overlapping grain image was studied. This algorithm presents some new attributes of graph sequence from discrete attribute of graph

and consequently achieves the geometrical characteristics from input graph

and the new graph sequence in favor of image segmentation is recombined. The conception that image edge denoted with "twin-point" is put forward

base on geometrical characters of point

image edge is transformed into serial edge

and on recombined serial image edge

based on direction vector definition of line and some additional restricted conditions

the segmentation twin-points are searched with

thus image segmentation is accomplished. Serial image edge is transformed into twin-point pattern

to realize calculation of area and granularity size of nonmetal grain. The inkling and uncertainty on selection of structure element which base on mathematical morphology are avoided in this algorithm

and image segmentation and parameter calculation are realized without changing grain's self statistical characters.

Abstract

Aiming at measurement of granularity size of nonmetal grain

and consequently achieves the geometrical characteristics from input graph

and the new graph sequence in favor of image segmentation is recombined. The conception that image edge denoted with "twin-point" is put forward

base on geometrical characters of point

image edge is transformed into serial edge

and on recombined serial image edge

based on direction vector definition of line and some additional restricted conditions

the segmentation twin-points are searched with

thus image segmentation is accomplished. Serial image edge is transformed into twin-point pattern

and image segmentation and parameter calculation are realized without changing grain's self statistical characters.

关键词

Keywords

references

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. Thiran jean-Philippe, et al. Automatic recognition of cancerous cells using mathematical morphology[J].SPIE, 1994,2359:392-401.

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. LI H F, YU B ZH. Image segmentation approach based on new multifractal feature vectors[J]. Optics and Precision Engineering, 2003,11(6):627-631.

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