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.
| Original language | English |
|---|---|
| Pages (from-to) | 296-304 |
| Number of pages | 9 |
| Journal | Journal of Microscopy |
| Volume | 197 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2000 |
| Externally published | Yes |
Keywords
- Cell images
- Cytological images
- Image segmentation
- Quantitative pathology