Vol. 4 (11) pp. 1800-1807 DOI: 10.21474/IJAR01/2276

ANALYSIS OF BLOOD SMEAR IMAGES OF SICKLE CELL ANEMIA BASEDONFUZZY FILTERING.

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  • Professor, Department of Electrical Engineering, College of Engineering, Trivandrum, India.
  • Research Scholar, Department of Electrical Engineering, College of Engineering, Trivandrum, India.
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Abstract

Fuzzy systems are quite famous due to their imprecise, uncertain, softness and flexibility. Fuzzy filters are now available for various images and they can be easily turned specifically for different types of images. Zadeh has repeatedly specified that one of the most important application domain of fuzzy set theory is medical image processing. Now-a-days, Fuzzy set theory is inherently used in image enhancement, segmentation such as hard and soft thresholding, filtering, smoothening, edge enhancement etc. In the present work a fuzzy filter has been designed and implemented. It has been specifically turned for the analysis of blood smear images of sickle cell anemia patients.

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How to Cite This Article

Hariharan S. and Aruna N. S. (2016); ANALYSIS OF BLOOD SMEAR IMAGES OF SICKLE CELL ANEMIA BASEDONFUZZY FILTERING., International Journal of Advanced Research (IJAR), 4 (11), 1800-1807, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/2276

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