Counting Iron-Absorbed Small Intestinal Cells

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Presentation transcript:

Counting Iron-Absorbed Small Intestinal Cells Joe Halfen

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

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.

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.

Image to be used.

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

Test Case 1 and Initial Processing Original Image Initial Try

More Successful Attempts

Case 2

Case 3

Case 4

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

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

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.