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Science, Technology and Education of Microscopy: an Overview Microscopic image analysis using mathematical morphology
 

Summary: Science, Technology and Education of Microscopy: an Overview
304
Microscopic image analysis using mathematical morphology:
Application to haematological cytology
Jesús Angulo1
and Georges Flandrin2
1
Centre de Morphologie Mathématique, Ecole des Mines de Paris, 35 rue Saint-Honoré, 77305
Fontainebleau, France
2
Laboratoire Central d'Hématologie, Hôpital Universitaire Necker, 149 rue de Sèvres, 75743 Paris,
France
Keywords: microscopic image analysis, mathematical morphology, statistical pattern recognition, blood
smear, automation in haematological cytology, lymphoproliferative disorders, motorised microscope,
telepathology, telediagnosis
Abstract. The mathematical morphology is a non-linear image processing approach which is based on the
application of lattice theory to spatial structures. This technique is proven to be a very powerful tool in
microscopic image analysis. In this chapter, we present the architecture of a system of quantitative
microscopy which yields an integrated platform for the morphological image analysis, pattern recognition,
and visual content-based indexing of peripheral blood smear wide microscopic fields. This image analysis

  

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

 

Collections: Computer Technologies and Information Sciences