WBC Segmentation in Blood Images for Medical Application

Authors

  • Janani N  Department of ECE, K Ramakrishnan College of technology (Autonomous) Samayapuram, Trichy, Tamil Nadu, India
  • Dharani T  Department of ECE, K Ramakrishnan College of technology (Autonomous) Samayapuram, Trichy, Tamil Nadu, India
  • Annapoorani. C  Department of ECE, K Ramakrishnan College of technology (Autonomous) Samayapuram, Trichy, Tamil Nadu, India

Keywords:

Blood cell count , image processing technique, WBC, differential count, K-means clustering; segmentation; thresholding; watershed algorithm; white blood cells.

Abstract

In medical diagnosis blood cell count plays very important role. Increment or decrement in the count of blood cell causes many diseases to occur in the human body. There are different techniques of blood cell counting which involves conventional as well as automatic techniques. The conventional method of manual counting under microscope is time consuming and yields inaccurate results. Although there are hardware solutions such as the Automated Hematology Counter, developing countries are not capable of organizing such unaffordable expensive machines in every hospital laboratory in the country. As a solution to this problem, to provide a software-based cost effective and an efficient alternative in recognizing and analyzing blood cells, This paper presents the preliminary study of automatic blood cell counting based on digital image processing. The number of blood cell count that is WBC count is then may be use to diagnose the patient as well as detection of abnormalities like leukemia. For this purpose, few preprocessing and post-processing techniques have been implemented on blood cells image in order to provide a much clearer and cleaner image.

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International Journal of Scientific Research in Science and Technology

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Published

2021-04-10

Issue

Volume 9, Issue 1, March-April-2021

Section

Research Articles

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How to Cite

[1]
Janani N, Dharani T, Annapoorani. C, " WBC Segmentation in Blood Images for Medical Application, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 1, pp.965-972, March-April-2021.