A Method of Using Digital Image Processing for Edge Detection of Red Blood Cells
Using a series of digital image processing methods, such as gray stretch, median filter, threshold segmentation, edge extraction and detection, detect the variations of red blood cells, realize the goal of identifying the shapes of variable red blood cells, and good results have been achieved. In co...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IFSA Publishing, S.L.
2013-11-01
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| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/november_2013/PDF_vol_159/P_1529.pdf |
| Summary: | Using a series of digital image processing methods, such as gray stretch, median filter, threshold segmentation, edge extraction and detection, detect the variations of red blood cells, realize the goal of identifying the shapes of variable red blood cells, and good results have been achieved. In conclusion, the average detection rate of abnormal red blood cells is above 80 %. This inspiring and conductive method is a tentative/experimental research which will play a good demonstration role in further application of image processing and detection in medical field.
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| ISSN: | 2306-8515 1726-5479 |