Automated Blood Cells Extraction and counting

Authors

  • Bilal Mohammad Zahran Al-Balqa' Applied University Faculty of engineering technology Computer engineering dept.
  • Belal A. Ayyoub Al-Balqaa Applied University / Faculty of Engineering Technology
  • Rushdi S. Abu Zunait Al-Balqaa Applied University / Faculty of Engineering Technology
  • A. Sharadqeh Al-Balqaa Applied University / Faculty of Engineering Technology

DOI:

https://doi.org/10.24297/ijct.v12i9.2831

Keywords:

Red blood cell (RBC) counting, White blood cell (WBC) counting, morphological filtering, RBCs classification, WBCs classification

Abstract

Automated blood cells extraction and counting in medical images is an important and sometimes necessary procedure in medical diagnostics and treatment. In this paper an automated blood cells extraction and counting method from microscopic images was proposed. The method is based on morphological filtering. The proposed method was tested using different background noises, resolutions and different colored images. The results are encouraging and the method gave an excellent performance for white blood cells and acceptable performance for red blood cells.

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Author Biographies

Bilal Mohammad Zahran, Al-Balqa' Applied University Faculty of engineering technology Computer engineering dept.

Assistant Professor

Belal A. Ayyoub, Al-Balqaa Applied University / Faculty of Engineering Technology

Computer Engineering Department

Rushdi S. Abu Zunait, Al-Balqaa Applied University / Faculty of Engineering Technology

Computer Engineering Department

A. Sharadqeh, Al-Balqaa Applied University / Faculty of Engineering Technology

Computer Engineering Department

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Published

2014-02-17

How to Cite

Zahran, B. M., Ayyoub, B. A., Abu Zunait, R. S., & Sharadqeh, A. (2014). Automated Blood Cells Extraction and counting. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 12(9), 3906–3911. https://doi.org/10.24297/ijct.v12i9.2831

Issue

Vol. 12 No. 9 (2014)

Section

Research Articles
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