Development of an image analysis procedure for identifying protozoa and metazoa typical of activated sludge system

被引：36

作者：

Ginoris, Y. P.

Amaral, A. L.

Nicolau, A.

Coelho, M. A. Z.

Ferreira, E. C.

机构：

[1] Univ Fed Rio de Janeiro, Escola Quim, Ctr Tecnol, Dept Engn Bioquim, BR-21941900 Rio de Janeiro, Brazil

[2] Univ Minho, Ctr Biol Engn, IBB, P-4710057 Braga, Portugal

[3] ESTIG, Dept Tecnol Quim & Biol, Inst Politecn Braganca, P-5301854 Braganca, Portugal

来源：

WATER RESEARCH | 2007年 / 41卷 / 12期

关键词：

protozoa; metazoa; image analysis; pattern recognition; SEWAGE-TREATMENT PROCESSES; WATER TREATMENT PLANTS; PERFORMANCE; MICROFAUNA; POPULATIONS; COMMUNITIES; FAUNA;

D O I：

10.1016/j.watres.2007.02.006

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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 program written in Matlab has proved to be adequate in terms of protozoa and metazoa recognition, as well as for the operating conditions assessment. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：2581 / 2589

页数：9

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