Abstract
Toxoplasma gondii is an important pathogen of humans and other warm-blooded vertebrate animals. This parasite is clinically important due to the diseases that it may cause on the fetus, namely chorioretinitis, microcephaly, hydrocephaly, mental retardation and hepatosplenomegaly, among others. The parasite affects also immunocompromissed patients that suffer from any type of cancer, organ transplantations and HIV, reactivating the infection. Zoonosis in Colombia is an issue of high epidemiological importance due to the transmission of pathogens. A deeper study on toxoplasmosis requires the analysis of the developmental stages of the parasite, including the cyst, which allows it to evade the immune system and to get established in the host organism permanently. The goal of this work was to develop a digital image processing algorithm based on texture recognition to allow automatic detection of the cysts associated to pathogen T. gondii from isolated Colombian native strains from meat samples for human consumption, using computational software Matlab 2013, specifically through the Image Processing Toolbox.
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Armando, Q., Graciela, JC. (2015). Digital Processing of Toxoplasma gondii Cysts in Meat Samples for Human Consumption in Colombia. In: Sanayei, A., E. Rössler, O., Zelinka, I. (eds) ISCS 2014: Interdisciplinary Symposium on Complex Systems. Emergence, Complexity and Computation, vol 14. Springer, Cham. https://doi.org/10.1007/978-3-319-10759-2_30
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DOI: https://doi.org/10.1007/978-3-319-10759-2_30
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10758-5
Online ISBN: 978-3-319-10759-2
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