Blood analysis using black and white digital images.
Image processing offers a powerful tool for medical diagnosis by visual inspection. Our proposed system considers the blood analysis problem. The system processes black and white blood images obtained from a CCD camera through a microscope. Different categories of cells are recognized, counted and classified into white cells, red cells and blood petals. The white cells are further treated for their classification, according to the morphological characteristics of their nuclei. The final classification is printed in special format for the physician.
Parthenis
K
K
Department of Informatics, University of Athens, Panepistimiopolis, Greece.
Metaxaki-Kossionides
C
C
D000465:Algorithms; D001772:Blood Cell Count; D001773:Blood Cells / Q000166:cytology; D002469:Cell Separation; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007962:Leukocytes / Q000166:cytology