Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2007: administrator
Metadata Last Update2020: administrator
Citation KeyDoriniMineLeit:2007:WhBlCe
TitleWhite blood cell segmentation using morphological operators and scale-space
FormatPrinted, On-line.
Access Date2021, Jan. 25
Number of Files1
Size3780 KiB
Context area
Author1 Dorini, Leyza Baldo
2 Minetto, Rodrigo
3 Leite, Neucimar Jerônimo
Affiliation1 Unicamp - Universidade Estadual de Campinas
2 Unicamp - Universidade Estadual de Campinas
3 Unicamp - Universidade Estadual de Campinas
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
DateOct. 7-10, 2007
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2008-07-17 14:09:44 :: -> administrator ::
2009-08-13 20:38:32 :: administrator -> banon ::
2010-08-28 20:02:30 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordsimage segmentation, mathematical morphology, scale-space.
AbstractCell segmentation is a challenging problem due to both the complex nature of the cells and the uncertainty present in video microscopy. Manual methods for this purpose are onerous, imprecise and highly subjective, thus requiring automated methods that perform this task in an objective and efficient way. In this paper, we propose a novel method to segment nucleus and cytoplasm of white blood cells (WBC). WBC composition of the blood provides important information to doctors and plays an important role in the diagnosis of different diseases. We use simple morphological operators and explore the scale-space properties of a toggle operator to improve the segmentation accuracy. The proposed scheme has been successfully applied to a large number of images, showing promising results for varying cell appearance and image quality, encouraging future works.
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Target FiledoriniMinettoLeiteBloodCellSegmentation.pdf
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