ABSTRACT
Malaria is a life-threatening disease caused by parasites that are transmitted to people through the bites of infected female Anopheles mosquitoes. It is preventable and curable. Malaria is a serious disease which is caused by the parasite of the genus plasmodium. It poses a global problem and warrants an automatic evaluation process because conventional microscopy which is considered the gold standard has proven to be inefficient and its results are hard to store and reproduce. In conventional microscopy the blood of a malaria infected patient is placed in a slide and is observed under a microscope. This is a time consuming and tiring process even with the involvement of an expert technician. In this study we propose a computerized diagnosis which will help in immediate detection of the disease so that proper treatment can be provided to the malaria patient. We propose the usage of image processing techniques to automate the process of parasite detection in blood samples of patients. The proposed system is robust and it is unaffected by exceptional circumstances and achieves high percentages of accuracy. This project is develop in python.
PROJECT OUTPUT
PROJECT VIDEO
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