Malarial Parasites Detection in RBC Using Image Processing |
Author(s): |
| Yamini Dewangan , SSTC Bhilai Chhattisgarh; Chandradatt Varma, SSTC Bhilai Chhattisgarh; Pradeep Singh Yadav, SSTC Bhilai Chhattisgarh |
Keywords: |
| Image Processing, Malarial Parasite Detection, Pre-Processing, Feature Extraction, Segmentation, Morphological Operations, RBC Counting, Plasmodium Detection |
Abstract |
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The gold standard for the diagnosis of malaria is microscopy in which the blood slide is examined under a micro scope, but the reliability, accuracy and timely diagnosis of the results are highly based on the proficiency of the technician examining the slide. False Detection can occur in the case of poorly skilled technician. In this research work we have proposed a system for automating the manual work done by a technician in order to cut down the human error and increasing the accuracy of the malaria diagnosis. The System is tested for a dataset of80images of a thin blood smear. The infected cells are extracted using HSV segmentation. This approach will be beneficial for the rural areas, with a scarcity of experts. |
Other Details |
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Paper ID: IJSRDV8I60227 Published in: Volume : 8, Issue : 6 Publication Date: 01/09/2020 Page(s): 309-312 |
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