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Review on Image Segmentation Techniques for Red Blood cell Identification

Neeti Taneja1 , Kamaljeet Kaur2

  1. Dept. of Computer Science and Engineering, Chandigarh University, Chandigarh, India.
  2. Dept. of Computer Science and Engineering, Chandigarh University, Chandigarh, India.

Correspondence should be addressed to: neeti.taneja30@gmail.com.

Section:Review Paper, Product Type: Journal Paper
Volume-5 , Issue-6 , Page no. 138-142, Jun-2017

Online published on Jun 30, 2017

Copyright © Neeti Taneja, Kamaljeet Kaur . 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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How to Cite this Paper

IEEE Style Citation: Neeti Taneja, Kamaljeet Kaur, “Review on Image Segmentation Techniques for Red Blood cell Identification,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.6, pp.138-142, 2017.

MLA Style Citation: Neeti Taneja, Kamaljeet Kaur "Review on Image Segmentation Techniques for Red Blood cell Identification." International Journal of Computer Sciences and Engineering 5.6 (2017): 138-142.

APA Style Citation: Neeti Taneja, Kamaljeet Kaur, (2017). Review on Image Segmentation Techniques for Red Blood cell Identification. International Journal of Computer Sciences and Engineering, 5(6), 138-142.

BibTex Style Citation:
@article{Taneja_2017,
author = {Neeti Taneja, Kamaljeet Kaur},
title = {Review on Image Segmentation Techniques for Red Blood cell Identification},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2017},
volume = {5},
Issue = {6},
month = {6},
year = {2017},
issn = {2347-2693},
pages = {138-142},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1315},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1315
TI - Review on Image Segmentation Techniques for Red Blood cell Identification
T2 - International Journal of Computer Sciences and Engineering
AU - Neeti Taneja, Kamaljeet Kaur
PY - 2017
DA - 2017/06/30
PB - IJCSE, Indore, INDIA
SP - 138-142
IS - 6
VL - 5
SN - 2347-2693
ER -

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Abstract

This review paper highlights the methodology followed for analysing the medical image by extracting the red blood cells from it. The image of blood cell sample is captured through microscope which consists of number of cells. Different techniques for segmentation of image such as edge detection, thresholding, Morphological processing etc. are used for the area evaluation of red blood cells for its efficient analysis. The main objective is to adopt the proposed methodology for discovering the red blood cells in the microscopic image.

Key-Words / Index Term

Red blood cells (RBCs), thresholding, edge detection, Morphological processing, Hough transforms

References

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[3] S.S.S.K.R.Innani,Mahavidyalaya Karanja,“Red Blood Cells Classification using Image Processing” Science Research Reporter, Vol 1, Issue. 3 pp. 151-154,2011.
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