Auto image analysis of particle holograms

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.