Novel method for parasite detection in microscopic samples

Authors:
Patryk Najgebauer;Tomasz Nowak;Jakub Romanowski;Janusz Rygał;Marcin Korytkowski;Rafał Scherer
Affiliations:
Department of Computer Engineering, Czȩstochowa University of Technology, Czȩstochowa, Poland;Department of Computer Engineering, Czȩstochowa University of Technology, Czȩstochowa, Poland;Department of Computer Engineering, Czȩstochowa University of Technology, Czȩstochowa, Poland;Department of Computer Engineering, Czȩstochowa University of Technology, Czȩstochowa, Poland;Department of Computer Engineering, Czȩstochowa University of Technology, Czȩstochowa, Poland;Department of Computer Engineering, Czȩstochowa University of Technology, Czȩstochowa, Poland
Venue:
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Year:
2012

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Abstract

This paper describes a novel image retrieval method for parasite detection based on the analysis of digital images captured by the camera from a microscope. In our approach we use several image processing methods to find known parasite shapes. At first, we use an edge detection method with edge representation by vectors. The next step consists in clustering edges fragments by their normal vectors and positions. Then grouped edges fragments are used to perform elliptical or circular shapes fitting as they resemble most parasite forms. This approach is invariant from rotation of parasites eggs or the analyzed sample. It is also invariant to scale of digital images and it is robust to overlapping shapes of parasites eggs thanks to the ability to reconstructing elliptical or other symmetric shapes that represent the eggs of parasites. With this solution we can also reconstruct incomplete shape of parasite egg which can be visible only in some part of the retrieved image.