Segmentation and classification of white blood cells

Author

Bikhet, Sawsan F. ; Darwish, Ahmed M. ; Tolba, Hany A. ; Shaheen, Samir L.

Author_Institution

Nat. Telecommun. Inst., Cairo, Egypt

Volume

6

fYear

2000

fDate

2000

Firstpage

2259

Abstract

Automated medical image processing and analysis offers a powerful tool for medical diagnosis. In this work we tackle the problem of white blood cell shape analysis based on the morphological characteristics of their outer contour and nuclei. The paper presents a set of preprocessing and segmentation algorithms along with a set of features that are able to recognize and classify different categories of normal white blood cells. The system was tested on gray level images obtained from a CCD camera through a microscope and produced a correct classification rate close to 91%

Keywords

blood; cellular biophysics; image classification; image segmentation; medical image processing; CCD images; automated medical image processing; classification; gray level images; medical diagnosis; microscope images; morphological characteristics; nuclei; outer contour; segmentation; white blood cell shape analysis; white blood cells; Biomedical image processing; Charge coupled devices; Charge-coupled image sensors; Image analysis; Image segmentation; Medical diagnosis; Microscopy; Shape; System testing; White blood cells;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.859289

Filename

859289