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Analytical Cellular Pathology 25 (2003) 3749 37 Automated detection of working area of
 

Summary: Analytical Cellular Pathology 25 (2003) 37­49 37
IOS Press
Automated detection of working area of
peripheral blood smears using mathematical
morphology
Jesús Angulo a, and Georges Flandrin b
a Centre de Morphologie Mathématique, Ecole des Mines de Paris, France
b Laboratoire Central d'Hématologie, Hôpital Necker-Enfants Malades de Paris, France
Received April 2002
Accepted 17 October 2002
Abstract. The paper presents a technique to automatically detect the working area of peripheral blood smears stained with May-
Grünwuald Giemsa. The optimal area is defined as the well spread part of the smear. This zone starts when the erythrocytes stop
overlapping (on the body film side) and finishes when the erythrocytes start losing their clear central zone (on the feather edge
side). The approach yields a quick detection of this area in images scanned under low magnifying power (immersion objective
×25 or ×16). The algorithm consists of two stages. First, an image analysis procedure using mathematical morphology is applied
for extracting the erythrocytes, the centers of erythrocytes and the erythrocytes with center. Second, the number of connected
components from the three kinds of particles is counted and the coefficient of spreading s and the coefficient of overlapping o
are calculated. The data from fourteen smears illustrate how the technique is used and its performance.
Colour figures can be viewed on http://www.esacp.org/acp/2003/25-1/angulo.htm.
Keywords: Automation, quality control, telepathology, image processing, mathematical morphology, erythrocytes, blood smear,

  

Source: Angulo,Jesús - Centre de Morphologie Mathématique, Ecole des Mines de Paris

 

Collections: Computer Technologies and Information Sciences