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

International Journal of Clinical and Biomedical Research

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Field Value
 
Title IDENTIFICATION OF MEGALOBLASTIC ANEMIA CELLS THROUGH THE USE OF IMAGE PROCESSING TECHNIQUES
 
Creator Babker, Asaad
Lyashenko, Vyacheslav
 
Description 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. 
 
Publisher Sumathi Publications
 
Contributor
 
Date 2018-07-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://sumathipublications.com/index.php/ijcbr/article/view/220
10.31878/ijcbr.2018.43.01
 
Source International Journal of Clinical and Biomedical Research; Volume 4, Issue 3; July 2018; 1-5
2395-0471
2521-0394
 
Language eng
 
Relation http://sumathipublications.com/index.php/ijcbr/article/view/220/249
 
Rights Copyright (c) 2018 Asaad Babker, Vyacheslav Lyashenko
https://creativecommons.org/licenses/by-nc-sa/4.0
 

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