Abstract
This work describes a system for detecting and classifying malaria parasites in images of Giemsa stained blood slides in order to evaluate the parasitaemia of the blood. The first aim of our system is to detect the parasites by means of an automatic thresholding based on a morphological approach. Then we propose a morphological method to cell image segmentation based on grey scale granulometries and openings with disk-shaped elements, flat and hemispherical, that is more accurate than the classical watershed-based algorithm. The last step of the system is classifying the parasites by morphological skeleton.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Dempster, A., Di Ruberto, C.: Morphological Processing of Malarial Slide Images. Proceedings Matlab DSP Conference 1999, Espoo, Finland (1999) 82–90
Di Ruberto, C., Dempster, A., Khan, S., Jarra, B.: Automatic Thresholding of Infected Blood Images using Granulometry and Regional Extrema. Proceedings ICPR’2000-15th International Conference on Pattern Recognition, Barcelona, Spain (2000) 445–448
Di Ruberto, C., Dempster, A., Khan, S., Jarra, B.: Segmentation of Blood Images using Morphological Operators. Proceedings ICPR’2000-15th International Conference on Pattern Recognition, Barcelona, Spain (2000) 401–404
Edgar, G.A.: Measure, Topology and Fractal Geometry. Springer-Verlag (1995)
Harms, H., Gunzer, U., Aus, H.M.: Combined Local Colour and Texture Analysis of Stained Cells. Computer Vision, Graphics and Image Processing 33 (1986) 364–376
Jang, B., Chen, R.T.: Analysis of Thinning Algorithms using Mathematical Morphology. IEEE Trans. on Pattern Analysis and Machine Intelligence v. 12 n. 6 (1990) 541–551
Serra, J.: Image Analysis and Mathematical Morphology, v. 2. Academic Press (1992)
Smyth, J.D.: Introduction to Animal Parasitology. Cambridge University Press, Cambridge (1994)
Soille, P.: Morphological Image Analysis, Principles and Applications. Springer-Verlag (1999)
Volkova, S.E., Ilyasova, N.Y., Ustinov, A.V., Khramov, A.G.: Methods for Analysing the Images of Blood Preparations. Optics & Laser Technology v. 27 n. 4 (1995) 255–261
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Di Ruberto, C., Dempster, A., Khan, S., Jarra, B. (2001). Morphological Image Processing for Evaluating Malaria Disease. In: Arcelli, C., Cordella, L.P., di Baja, G.S. (eds) Visual Form 2001. IWVF 2001. Lecture Notes in Computer Science, vol 2059. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45129-3_68
Download citation
DOI: https://doi.org/10.1007/3-540-45129-3_68
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42120-7
Online ISBN: 978-3-540-45129-7
eBook Packages: Springer Book Archive