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Abstract
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Article Information:
Diagnosis of Iron Deficiency Anemia Using Image Processing Techniques
Basim Alhadidi
Corresponding Author: Basim Alhadidi
Submitted: April 08, 2012
Accepted: May 10, 2012
Published: December 01, 2012 |
Abstract:
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This study aims to implement an image processing algorithm for detection of both red and blue
stained blood cells to help in diagnosis of iron deficiency anemia in a more effective and efficient way. Our
approach allows us to obtain the exact number of each stained blood cells. The algorithm also calculates the
percentage of blue and red stained cells in the given specimen image sample. This information is vital in
detecting the disease and determining its severity. Although the algorithm is designed in such a manner to
provide flexibility regarding the selection of either a particular region or a whole given image sample, the
calculations are done for the desired region only. Images of villi cells taken from the small intestine of humans
were used.
Key words: Cell counting , iron deficiency anemia, villi cells, , , ,
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Abstract
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Cite this Reference:
Basim Alhadidi, . Diagnosis of Iron Deficiency Anemia Using Image Processing Techniques. Research Journal of Applied Sciences, Engineering and Technology, (23): 5144-5148.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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