Title :
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
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;
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
DOI :
10.1109/ICPR.1994.576441
