Edge-Based Segmentation for Accurate Detection of Malaria Parasites in Microscopic Blood Smear Images: A Novel Approach using FCM and MPP Algorithms
Author:
Affiliation:
1. Chitkara University Institute of Engineering and Technology, Chitkara University,Himachal Pradesh,India
2. University of Petroleum and Energy Studies,School of Computer Science,Dehradun,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10150429/10151454/10151643.pdf?arnumber=10151643
Reference11 articles.
1. Blood cell segmentation from microscopic blood images
2. RBCs and Parasites Segmentation from Thin Smear Blood Cell Images
3. Unsupervised identification of malaria parasites using computer vision
4. Segmentation of malaria parasites in peripheral blood smear images
5. Color image segmentation using multi-objective swarm optimizer and multi-level histogram thresholding
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