IDENTIFICATION OF MEGALOBLASTIC ANEMIA CELLS THROUGH THE USE OF IMAGE PROCESSING TECHNIQUES

Authors

  • Asaad Babker Medical Laboratories Science Department, College of Health Science, Gulf Medical University, Ajman, UAE
  • Vyacheslav Lyashenko Department of Informatics, Kharkiv National University of RadioElectronics, Kharkiv, Ukraine.

DOI:

https://doi.org/10.31878/ijcbr.2018.43.01

Abstract

Objective: Our aim is to show the possibility of using different image processing techniques for blood smear analysis. Also our aim is to determine the sequence of image processing techniques to identify megaloblastic anemia cells. Methods: We consider blood smear image. We use a variety of image processing techniques to identify megaloblastic anemia cells. Among these methods, we distinguish the modification of the color space and the use of wavelets. Results: We developed a sequence of image processing techniques for blood smear image analysis and megaloblastic anemia cells identification. As a characteristic feature for megaloblastic anemia cells identification, we consider neutrophil image structure. We also use the morphological methods of image analysis in order to reveal the nuclear lobes in neutrophil structure. Conclusion: We can identify the megaloblastic anemia cells. To do this, we use the following sequence of blood smear image processing: color image modification, change of the image contrast, use of wavelets and morphological analysis of the cell structure.

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Published

2018-07-31

How to Cite

Babker, A., & Lyashenko, V. (2018). IDENTIFICATION OF MEGALOBLASTIC ANEMIA CELLS THROUGH THE USE OF IMAGE PROCESSING TECHNIQUES. International Journal of Clinical and Biomedical Research, 4(3), 1-5. https://doi.org/10.31878/ijcbr.2018.43.01

Issue

Section

Original Research Articles