Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.859289
