Development of Low Cost System for Estimating RBC, WBC Count Using Image Processing

Development of Low Cost System for Estimating RBC, WBC Count Using Image Processing

Rajithkumar B. K., Shilpa D. R., Uma B. V., H. S. Mohana
Copyright: © 2021 |Pages: 13
DOI: 10.4018/IJOCI.2021010102
OnDemand:
(Individual Articles)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

Blood-related diseases are one of the most widespread and rampant vector-borne diseases in tropical countries like India. With an ever-increasing population and enormous stress on resources like land and water, new avenues open for insects like mosquitoes to breed and propagate the virus. The traditional lab method for the detection of diseases in a human's anatomy involves extracting the blood and subjecting it to various tests to count and detect the number of blood cells. An abnormally low platelet count would indicate the presence of the virus in the body. The usual method undertaken by labs all over the world is the use of the conventional chemical procedures, which may take a few hours to produce the result. The proposed system for the low cost estimating of RBC and WBC is developed using image processing techniques and canny edge detection algorithm. The obtained results are analysed and compared with the conventional methods, and results are obtained with an accuracy of 91.2.
Article Preview
Top

2. Related Work

An automatic RBC and WBC counting method were introduced and in this method the number of RBC was calucluated. The first step is input acquisition of input image then follows pre-processing method which includes contrast enhancing, feature extraction is done to differentiate between RBC and WBC and conversion of original blood smear image to saturation image . Introduced a method for automatic RBC counting using Hough transform (Venkatalakshmi B, 2013). The detection and counting of Red Blood Cells have been done on five microscopic images and discussion has been made by comparing the Results (M Maitra 2013). The image processing technique for counting of RBC and WBC. The objective is to produce a survey on an image processing based system that automatically identifies and counts number of Red Blood Cells and White Blood Cells in the sample image by using image processing which includes 6 steps (Akshay ap. sahastrabuddhe 2016).

Complete Article List

Search this Journal:
Reset
Volume 14: 1 Issue (2024): Forthcoming, Available for Pre-Order
Volume 13: 1 Issue (2023)
Volume 12: 4 Issues (2022)
Volume 11: 4 Issues (2021)
Volume 10: 4 Issues (2020)
Volume 9: 4 Issues (2019)
Volume 8: 4 Issues (2018)
Volume 7: 4 Issues (2017)
Volume 6: 4 Issues (2016)
Volume 5: 4 Issues (2015)
Volume 4: 4 Issues (2014)
Volume 3: 4 Issues (2012)
Volume 2: 4 Issues (2011)
Volume 1: 4 Issues (2010)
View Complete Journal Contents Listing