1. Counting Iron-Absorbed Small Intestinal Cells
Joe Halfen

2. Background The counting of the cells is done by hand.
Previous work tried to use statistics to estimate the number of cells on a slide.
Would like to use more reliable techniques to determine the number of cells

3. Project Overview Will use 4 test cases of a slide.
Try to determine the best threshold and morphological techniques to accurately determine cell count.
Give preliminary estimates on cell counts for the technique decided upon.

4. Preliminary Image Processing
Exploit the color of the cells
Subjective trial and error process
Using threshold on the RGB colors before converting to gray map to do final threshold.

5. Image to be used.

6. 4 Test cases. Best case Image Image with additional region boundaries
Image with no cells
Image with cells overlapping

7. Test Case 1 and Initial Processing
Original Image
Initial Try

8. More Successful Attempts

9. Case 2

10. Case 3

11. Case 4

12. Next step. Image processing to determine region boundaries.
Fill in regions.
Threshold to binary image.
Count cells.

13. Higher level obstacles
Separating cells
Watershed Method.
Statistics from image.
Statistics from user input.

14. Conclusions Use Matlab implementation.
Determine good method for preliminary processing.
Identify addition adjustments that will need to be made to the program to make it most effective.