Related Experiment Videos
Iterative thresholding for segmentation of cells from noisy images
1Department of Pathology, Box 1194, Mount Sinai School of Medicine, One Gustave L. Levy Place, New York, NY 10029, USA. hwu@msvax.mssm.edu
Journal of Microscopy
|February 26, 2000
Abstract:
We introduce an iterative thresholding algorithm for the segmentation of cells from noisy cell images. The thresholding image, which is initially a constant, changes iteratively with both the previous segmentation and image local activity. Experimental results for both synthesized and real cell images are provided to demonstrate the performance of the algorithm.