| Journal: | Brazilian journal of chemical engineering |
| Database: | PERIÓDICA |
| System number: | 000308773 |
| ISSN: | 0104-6632 |
| Authors: | Motta, M. da1 Pons, M.N Vivier, H Amaral, A.L2 Ferreira, E.C Roche, N3 Mota, M |
| Institutions: | 1Institut National Polytechnique de Lorraine, Ecole Nationale Superieure des Industries Chimiques, Nancy, Meurthe-et-Moselle. Francia 2Universidade do Minho, Centro de Engenharia Biologica, Braga. Portugal 3Universite de Marseille, Institut Universitaire de Technologie, Marseille, Bouches-du-Rhone. Francia |
| Year: | 2001 |
| Season: | Mar |
| Volumen: | 18 |
| Number: | 1 |
| Pages: | 103-111 |
| Country: | Brasil |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Analítico, descriptivo |
| English abstract | Protozoa are important microorganisms for the ecosystem balance in wastewater treatment plants. A procedure for their semi-automated identification and counting based on image analysis is proposed. The main difficulty is segmentation of the protozoa as most of them are in contact with the sludge. The protozoa are characterized by the size of their silhouette (area and length) and three shape factors (elongation, circularity and eccentricity). They are identified after projecting the resulting 5D space into a 3D space of principal components. The rate of automated identification is actually higher than 50% for some of the species commonly found in activated sludge |
| Disciplines: | Biología, Ingeniería |
| Keyword: | Protozoarios, Ingeniería ambiental, Aguas residuales, Plantas de tratamiento, Análisis de imágenes |
| Keyword: | Biology, Engineering, Protozoa, Environmental engineering, Waste water, Treatment plants, Image analysis |
| Full text: | Texto completo (Ver HTML) |
