A method for Counting Particle Number in Overlapped Particle Images

• YAMAMOTO Fujio

  Fukui University

• RUAN Xiao-Dong

  Zhejiang University

• SONG Xiang-Qun

  Fukui University

• IGUCHI Manabu

  Graduate School of Hokkaido University

Bibliographic Information

Other Title

• A245 重なり粒子画像における粒子数の計測方法
• method for Counting Particle Number in

Abstract

This paper describes a method to separate and count the number of particles in an overlapped image. The edges in an image are detected by Canny's method, and contours are linked from the pixels in edges. Contours are segmented using a criterion based on the derivative of the curvature. Constant curvature segments are clustered according to the relations among contour segments which are likely to represent the same circles. A minimization criterion is used to find out the circle parameters that provide accurate parameter estimation. The method can recover many circles in a heavily overlapped particle image, and provide a useful way in some practical applications, such as counting particles, separating overlapped bubbles in PIV system.

Journal

• Journal of the Visualization Society of Japan

  Journal of the Visualization Society of Japan 17 (Supplement2), 107-110, 1997

  The Visualization Society of Japan

Details

• CRID: 1390282679597067264
• NII Article ID: 10002675106
• NII Book ID: AN10374478
• DOI: 10.3154/jvs.17.supplement2_107
• ISSN: 1884037X
• ISSN: 09164731
• NDL BIB ID: 4302640
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4302640
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed