COUNTING OF ERYTHROCYTES AND LEUCOCYTES THROUGH THE DIGITAL IMAGE SEGMENTATION ALGORITHM WT-MO: A QUICK AND LOW-COST METHODOLOGY

• DOI: 10.22533/at.ed.8621913036

• Palavras-chave: atena

• Keywords: Hematology, Watershed Transform, Digital Imaging Processing, Biomedical Engineering.

• Abstract:

  Considering that a large part of

  the world population today is concentrated in

  underdeveloped and developing countries, and

  that access to health is a right guaranteed by

  the Constitution, creating new, more accessible

  diagnostic methods is a challenge for the medical

  areas. The necessity for practicality, reliability,

  and agility has stimulated the creation of new

  tools for the health area. The blood cell counting

  is an important exam that helps to diagnose

  various diseases besides to be an important field

  of study in biomedical engineering. Currently, the

  red blood cells count and white blood cells have

  been performed by the automated and manual

  method. However, still does not dispense the use

  of the manual method, through the preparation

  of blood smears, in specific cases or only for

  confirmation of diagnostics. In the last years,

  Matlab® software has been used to develop

  algorithms to facilitate cell counting. Thus, the

  present work implements an algorithm based

  on Watershed transform, where its results show

  a better performance of 34% in execution time

  in comparison with other works developed, as

  well as a computational performance of 1.98

  seconds, as also showing high reliability in your

  digital count.

• Número de páginas: 15