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Segmentation of Red Blood Cells

Deepa T.P1 , N. Sai Ahladitha Reddy2 , K Jai Santhoshi3 , Priya. M4 , Lakshmi. N5

  1. Department of CSE, School of Engineering and Technology-Jain University, Bangalore India.
  2. Department of CSE, School of Engineering and Technology-Jain University, Bangalore India.
  3. Department of CSE, School of Engineering and Technology-Jain University, Bangalore India.
  4. Department of CSE, School of Engineering and Technology-Jain University, Bangalore India.
  5. Department of CSE, School of Engineering and Technology-Jain University, Bangalore India.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 641-643, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.641643

Online published on May 31, 2018

Copyright © Deepa T.P, N. Sai Ahladitha Reddy, K Jai Santhoshi, Priya. M, Lakshmi. N . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Deepa T.P, N. Sai Ahladitha Reddy, K Jai Santhoshi, Priya. M, Lakshmi. N, “Segmentation of Red Blood Cells,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.641-643, 2018.

MLA Style Citation: Deepa T.P, N. Sai Ahladitha Reddy, K Jai Santhoshi, Priya. M, Lakshmi. N "Segmentation of Red Blood Cells." International Journal of Computer Sciences and Engineering 6.5 (2018): 641-643.

APA Style Citation: Deepa T.P, N. Sai Ahladitha Reddy, K Jai Santhoshi, Priya. M, Lakshmi. N, (2018). Segmentation of Red Blood Cells. International Journal of Computer Sciences and Engineering, 6(5), 641-643.

BibTex Style Citation:
@article{T.P_2018,
author = {Deepa T.P, N. Sai Ahladitha Reddy, K Jai Santhoshi, Priya. M, Lakshmi. N},
title = {Segmentation of Red Blood Cells},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {641-643},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2034},
doi = {https://doi.org/10.26438/ijcse/v6i5.641643}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.641643}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2034
TI - Segmentation of Red Blood Cells
T2 - International Journal of Computer Sciences and Engineering
AU - Deepa T.P, N. Sai Ahladitha Reddy, K Jai Santhoshi, Priya. M, Lakshmi. N
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 641-643
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

The study of abnormal cells is important to identify diseases like anemia, thalassemia and polycythemia. Cell features are important to identify abnormality in a given cell. The manual method used to identify abnormality of red blood cells is tedious, prone to human errors and time consuming. Hence, there is a need for fast and accurate system which can identify red blood cell abnormality and helps the doctor to quickly diagnose the diseases. Also, early detection of abnormality helps to prevent chronic diseases. This paper aims to develop such fast and accurate computer aided system which can automatically segment rbc in a given microscopic image. Further, the features of segmented cells are analyzed to detect abnormality. As the microscopic blood samples includes various cells like red blood cells, platelets, white blood cells, enzymes, biological debris, it is significant to segment only red blood cells by eliminating other unwanted cells in the given sample. So, this paper uses image segmentation technique to separate red blood cells in a given sample by eliminating white blood cells and platelets. These segmented cells are further used for feature extraction and classification.

Key-Words / Index Term

Red blood cells, normal, abnormal, anemia, platelets, computer-aided

References

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