Noise and intensity invariant moments
Pattern Recognition Letters
On-line detection of red blood cell shape using deformable templates
Pattern Recognition Letters
A texture approach to leukocyte recognition
Real-Time Imaging - Special issue on imaging in bioinformatics: Part III
Automatic recognition of biological particles in microscopic images
Pattern Recognition Letters
Journal of Biomedical Informatics
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
Mathematical morphology in polar-logarithmic coordinates. application to erythrocyte shape analysis
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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In the paper an algorithm for the recognition of erythrocytes is presented and experimentally evaluated. The objects of interest are localised and extracted from digital microscopic images, stained by means of the MGG (May-Grunwald-Giemsa) method in greyscale. The area covering a single red blood cell (RBC) is transformed from Cartesian to polar co-ordinates. Later, the two-dimensional Fourier transform is applied to the resultant image. Finally, the subpart of the spectrum is selected in order to represent an object. This description (Polar-Fourier Greyscale Descriptor) is matched with the templates represented in the same way. The smallest dissimilarity measure indicates the recognised erythrocyte type. When using this approach every RBC is investigated, and basing on the whole knowledge about the number of particular types of erythrocytes present in an image a diagnosis can be made.