Malaria Parasite Concentration Determination Using Digital Image Processing
Bhaiyya D. Ghanmode, Prashant L. Paikrao · 2018
Malaria is an infectious disease caused by Anopheles Mosquito. Compared to 2015 World Health Organization report, in 2016 total 216 million cases are reported for malaria parasite which are 5 million more Victims of malaria are not decreasing when seen in statistics. Total reported deaths in 2016 are 445000 which is the same number to 2015 WHO report. The African and Sub-Saharan Region continues to account for about more than 90% of malaria cases and deaths worldwide. In the subcontinent regions mostly below the tropical, the countries are more infected with the malaria parasite. Mostly registered cases are women and children. The malaria parasite is detectable and curable still so many cases are reported. The standard methodology used to detect malaria parasite in blood is a `gold standard' conventional method. In which expert detects malaria parasite manually by checking each and every slide. There are 5 types of Malaria parasites which are responsible for worldwide malaria cases. The paper shows the accurate determination of malaria parasite as conventional standard may percolate human error. Also, the time required to perform the test is more. The expert can review handful number of infected slides. So the technique is proposed that follows image preprocessing image segmentation filtering classification and finally the detection of the malaria parasite.