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Counting Iron-absorbed Small Intestinal
ECE 533 Digital Image Processing Instructor: Prof. Hu Counting Iron-absorbed Small Intestinal Presented by: Yang Wang Pei Qi
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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
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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
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How to define blue cell Let user to select a couple of sample shapes
Correlation function to find similarities
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Correlation Result
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Binary Images
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Final Result Before After
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Final Result Matlab Result 13
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Conclusion Quantify intestinal iron content in newborn rats – Count number of blue cells in a given image Our Method is using correlation function
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DEMO
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Comparison 20 17 -3 23 21 -2 Image Hand Counting Our Program
Difference 20 17 -3 23 21 -2
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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.
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