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Proceedings Paper

Automatic analysis of strongly noisy particle images for particle sizing
Author(s): Tianshu Lai; Yushan Tan; Zhilin Xiang
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Paper Abstract

The some of problems related to automatic analysis of strongly noisy particle images are discussed in this paper. The new double thresholding and correlating focussing recognition methods are developed and used to automatically analyze a particle image reconstructed from the hologram of solid rocket propellant combustion. The tested results are given and show that the new methods are effective in automatic analysis of strongly noisy particle images.

Paper Details

Date Published: 12 January 1993
PDF: 5 pages
Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); doi: 10.1117/12.139110
Show Author Affiliations
Tianshu Lai, Univ. of Science and Technology of China (China)
Yushan Tan, Xi'an Jiaotong Univ. (China)
Zhilin Xiang, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 1771:
Applications of Digital Image Processing XV
Andrew G. Tescher, Editor(s)

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