An Analytic-to-Holistic Approach for Face Recognition Based on a Single Frontal View
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
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
Identification of erythrocyte types in greyscale MGG images for computer-assisted diagnosis
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
An algorithm for the automatic estimation of image orientation
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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The paper presents an approach for computer-assisted diagnosis of some diseases (e.g. anaemia, malaria), which are caused by deformations of erythrocyte shapes. In the method firstly the thresholding of the input MGG image is performed, using modified thresholding based on fuzzy measures. Secondly, every cell is localised and extracted. Only the red blood cells are taken for later processing. Using the template matching approach and shape description algorithm every extracted erythrocyte is assigned to one of the twelve classes. Basing on the knowledge about the number of particular unaffected and affected red blood cells the diagnosis can be made. Hence, the possibilities of automatic diagnosis are discussed to stress the potential application of the method.