Auto image analysis of particle holograms

Author

Liu, Lei jian ; Yang, Jing Yu ; Liu, Ke ; Wu, Yong Ge ; Xia, Wei

Author_Institution

Dept. of Comput. Sci., Nanjing Univ. of Sci. & Technol., China

Volume

1

fYear

1994

fDate

9-13 Oct 1994

Firstpage

781

Abstract

This presentation describes an automatic online image analysis system for particle holograms. In the segmentation, a bi-threshold region growing approach is adopted. To remove the speckle noises, the variance of the radius of the candidates and the texture of the candidate areas in the Sobeled images are analyzed. The radial intensity profile of the candidates and the clearness of candidate neighboring areas in the Sobeled images are analyzed to remove particles out-of-focus. Finally, the candidates are verified, and the statistical data of the verified particles are calculated. Experimental results are given to show the efficiency of the approach

Keywords

image segmentation; Sobeled images; automatic online image analysis system; bi-threshold region growing approach; particle holograms; radial intensity profile; segmentation; speckle noises; Analysis of variance; Hardware; Holography; Image analysis; Image processing; Image retrieval; Image segmentation; Image texture analysis; Particle tracking; Speckle;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on

Conference_Location

Jerusalem

Print_ISBN

0-8186-6265-4

Type

conf

DOI

10.1109/ICPR.1994.576441

Filename

576441