Identification of megaloblastic anemia cells through the use of image processing techniques

Babker, A.; Lyashenko, V.

Публікація:
Identification of megaloblastic anemia cells through the use of image processing techniques

dc.contributor.author	Babker, A.
dc.contributor.author	Lyashenko, V.
dc.date.accessioned	2020-05-21T13:59:32Z
dc.date.available	2020-05-21T13:59:32Z
dc.date.issued	2018
dc.description.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.	uk_UA
dc.identifier.citation	Babker A., Lyashenko V. Identification of megaloblastic anemia cells through the use of image processing techniques // International Journal of Clinical and Biomedical Research. – 2018. – Vol. 4(3). – 1-5.	uk_UA
dc.identifier.issn	2521-0394
dc.identifier.uri	http://openarchive.nure.ua/handle/document/11779
dc.language.iso	en	uk_UA
dc.publisher	IJCBR	uk_UA
dc.subject	Image processing	uk_UA
dc.subject	Wavelet analysis	uk_UA
dc.title	Identification of megaloblastic anemia cells through the use of image processing techniques	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication