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 Acquisition, Pre-Processing, Feature Extraction, Segmentation, Morphological Operations, Cell Differentiation |
Abstract |
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One of the most serious infectious mosquito borne disease spread worldwide is none other than malaria. The diagnosis of this threatening disease is done by microscopic examination of blood. But the diagnosis method requires efficient pathologists and lot of time. In this paper, we aim at introducing a fast and accurate method for RBCs classification which is based on image processing for parasites of malaria in particular. The generation of the database is done with the help of microscopic images of blood of 30 malarial patients. The total number of cells is counted on the basis of morphological operations. Based on the intensity profiles within the cells the infected cells are analyzed. The manual analysis is compared to validate the results. This approach will prove a boon to the rural areas where there is unavailability of experts and improper diagnosis can take a toll on the patients health. |
Other Details |
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Paper ID: IJSRDV7I80183 Published in: Volume : 7, Issue : 8 Publication Date: 01/11/2019 Page(s): 215-216 |
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