1. Counting Iron-absorbed Small Intestinal
ECE 533 Digital Image Processing
Instructor: Prof. Hu
Counting Iron-absorbed Small Intestinal
Presented by:
Yang Wang
Pei Qi

2. Introduction Kling lab Research
Study iron absorption in premature infants Quantify intestinal iron content in newborn rats
Problem for us
To count the number of blue cells contained in a given image

3. How to define blue cell One way Problem Hue value between 144 to 155
A single ‘for’ loop search for any pixel of value with given range
Adding total number of searched cells
Finished
Problem
User decide what is blue, but we can’t

4. How to define blue cell Let user to select a couple of sample shapes
Correlation function to find similarities

5. Correlation Result

6. Binary Images

7. Final Result
Before
After

8. Final Result
Matlab Result 13

9. Conclusion
Quantify intestinal iron content in newborn rats – Count number of blue cells in a given image
Our Method is using correlation function

10. DEMO

11. Comparison 20 17 -3 23 21 -2 Image Hand Counting Our Program
Difference 20 17 -3 23 21 -2

12. Future Improvement
Not very efficiently when handling large size image. Too many loops in program.
User Interface is not so good.
Solution: refactory the codes, improving efficiency and user interface.