Paper
12 January 1993 Automatic analysis of strongly noisy particle images for particle sizing
Tianshu Lai, Yushan Tan, Zhilin Xiang
Author Affiliations +
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tianshu Lai, Yushan Tan, and Zhilin Xiang "Automatic analysis of strongly noisy particle images for particle sizing", Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); https://doi.org/10.1117/12.139110
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KEYWORDS
Particles

Digital filtering

Speckle

Digital image processing

Image filtering

Particle sizing

3D image reconstruction

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