A similarity of sobel and prewitt edge detection for cell counting simulation of human blood cells using MATLAB
The human red blood cells (RBC) are the most numerous elements of the human blood cells. RBC exist for many kind of functions, such as delivering oxygen to the body tissues via the blood and also transport the carbon dioxide from the cells because of breaking down the nutrients. Lack of this type of...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/2229/ http://eprints.uthm.edu.my/2229/1/J1.pdf |
| Summary: | The human red blood cells (RBC) are the most numerous elements of the human blood cells. RBC exist for many kind of functions, such as delivering oxygen to the body tissues via the blood and also transport the carbon dioxide from the cells because of breaking down the nutrients. Lack of this type of human blood cell caused the diseases that are based on the number of these cells such as anemia and polycythemia. In this paper, we present the similarity of two common segmentation methods for a counting cell of RBC using MATLAB, including model simulation for counting the cells. This research main target is getting the similarity of two segmentation or edge detection methods , Sobel and Prewitt, and by this step resulted image , we can counting RBC for getting the number of them which can be used for analyzing the diseases that involved the disorder number of RBC count. |
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