• Biology
  • Published 2012

Enhanced Identification of Malarial Infected Objects using Otsu Algorithm from Thin Smear Digital

@inproceedings{Kumar2012EnhancedIO,
  title={Enhanced Identification of Malarial Infected Objects using Otsu Algorithm from Thin Smear Digital},
  author={Amit Kumar and Arun Choudhary and Punesh U. Tembhare},
  year={2012}
}
Malaria is a serious global health problem, and rapid, accurate diagnosis is required to control the disease. An image processing algorithm to automate the diagnosis of malaria in blood images is developed in this project. Manual counting of parasitaemia is tedious and time consuming and need experts. In this paper, we are developing an image classification system is to positively identify malaria parasites present in thin blood smears. We are proposing an automatic technique for Malaria… CONTINUE READING

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Automatic Detection and Classification of Malarial Parasite

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Automatic detection of malaria parasite in blood images using two parameters.

  • Technology and health care : official journal of the European Society for Engineering and Medicine
  • 2015

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