Image Analysis Approach for Development of a Decision Support System for Detection of Malaria Parasites in Thin Blood Smear Images

@article{Prasad2011ImageAA,
  title={Image Analysis Approach for Development of a Decision Support System for Detection of Malaria Parasites in Thin Blood Smear Images},
  author={Keerthana Prasad and Jan Winter and Udayakrishna M. Bhat and Raviraja V. Acharya and Gopalakrishna Prabhu},
  journal={Journal of Digital Imaging},
  year={2011},
  volume={25},
  pages={542-549}
}
This paper describes development of a decision support system for diagnosis of malaria using color image analysis. A hematologist has to study around 100 to 300 microscopic views of Giemsa-stained thin blood smear images to detect malaria parasites, evaluate the extent of infection and to identify the species of the parasite. The proposed algorithm picks up the suspicious regions and detects the parasites in images of all the views. The subimages representing all these parasites are put… CONTINUE READING

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