Classification of microorganisms in water samples - Mendieta Martínez, Ruby Daniela
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This work aims to identify microorganisms in water samples from different environments, such as drinking and non-drinking water, using various image processing and classification techniques. A database of microscopic images will be used to identify the types of microorganisms present in contaminated water. The classification of microorganisms is done through image processing techniques, based on information obtained by the electronic device. Likewise, to know the major population of microorganisms present in the water and how these would be harmful for human consumption.

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Produktbeschreibung
This work aims to identify microorganisms in water samples from different environments, such as drinking and non-drinking water, using various image processing and classification techniques. A database of microscopic images will be used to identify the types of microorganisms present in contaminated water. The classification of microorganisms is done through image processing techniques, based on information obtained by the electronic device. Likewise, to know the major population of microorganisms present in the water and how these would be harmful for human consumption.
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Autorenporträt
Ruby Daniela Mendieta Martinez, een ondernemende vrouw, die zich inzet voor kennis en de noodzaak om technologische alternatieven te onderzoeken, te ontwerpen en toe te passen. Zij draagt haar bevindingen graag over en is ervan overtuigd dat haar werk kan bijdragen tot de vooruitgang van de menselijke ontwikkeling en de bescherming van de mensheid.