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Stalked protozoa identification by image analysis and multivariable statistical...
Amaral, A. L.; Ginoris, Y. P.; Nicolau, Ana; Coelho, M. A. Z.; Ferreira, E. C.Protozoa are considered good indicators of the treatment quality in activated sludge systems as they are sensitive to physical, chemical and operational processes. Therefore, it is possible to correlate the predominance of certain species or groups and several operational parameters of the plant. This work presents a semiautomatic image analysis procedure for the recognition of the stalked protozoa species most...
Raw data pre-processing in the protozoa and metazoa identification by image ana...
Ginoris, Y. P.; Amaral, A. L.; Nicolau, Ana; Coelho, M. A. Z.; Ferreira, E. C.Different protozoa and metazoa populations develop in the activated sludge wastewater treatment processes and are highly dependent on the operating conditions. In the current work the protozoa and metazoa groups and species most frequent in wastewater treatment plants were studied, mainly the flagellate, sarcodine, and ciliate protozoa as well as the rotifer, gastrotrichia, and oligotrichia metazoa. The work is...
Aplicação de técnicas de análise de imagem e de estatística multivariável no re...
Ginoris, Y. P.; Amaral, A. L.; Ferreira, E. C.; Coelho, M. A. Z.; Nicolau, AnaOs protozoários e pequenos metazoários são organismos abundantes nos tanques de aeração das Estações de Tratamento de Efluentes (ETEs) por lodos ativados. A distribuição de espécies e sua abundância têm sido apontadas como indicadores da qualidade do tratamento fornecendo um instrumento útil para avaliar o desempenho destes sistemas. O presente trabalho teve como objetivo o desenvolvimento em ambiente Matlab de...
Stalked protozoa identification by image analysis and multivariable statistical...
Amaral, A. L.; Ginoris, Y. P.; Nicolau, Ana; Coelho, M. A. Z.; Ferreira, E. C.Protozoa are considered good indicators of the treatment quality in activated sludge systems as they are sensitive to physical, chemical and operational processes. Therefore, it is possible to correlate the predominance of certain species or groups and several operational parameters of the plant. This work presents a semi-automatic image analysis procedure for the recognition of the stalked protozoa species mos...
Development of an image analysis procedure for identifying protozoa and metazoa...
Ginoris, Y. P.; Amaral, A. L.; Nicolau, Ana; Coelho, M. A. Z.; Ferreira, E. C.A procedure for the semi-automatic identification of the main protozoa and metazoa species present in the activated sludge of wastewater treatment plants was developed. This procedure was based on both image processing and multivariable statistical methodologies, leading to the use of the image analysis morphological descriptors by discriminant analysis and neural network techniques. The image analysis programw...
Recognition of protozoa and metazoa using image analysis tools, discriminant an...
Ginoris, Y. P.; Amaral, A. L.; Nicolau, Ana; Coelho, M. A. Z.; Ferreira, E. C.Protozoa and metazoa are considered good indicators of the treatment quality in activated sludge systems due to the fact that these organisms are fairly sensitive to physical, chemical and operational processes. Therefore, it is possible to establish close relationships between the predominance of certain species or groups of species and several operational parameters of the plant, such as the biotic indices, n...
Recognition of protozoa and metazoa using image analysis tools, discriminant an...
Ginoris, Y. P.; Amaral, A. L.; Nicolau, Ana; Ferreira, E. C.; Coelho, M. A. Z.A mixed culture of microorganisms is usually present in biological wastewater treatment processes such as the activated sludge system in aeration tanks. These microorganisms are capable of reducing the organic matter and other pollutants in the sewage. Protozoa and metazoa play an important role in this system because they maintain the density of bacterial populations by predation and contribute to the floccula...
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