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

Water Research

Volumn 41, Issue 12, 2007, Pages 2581-2589

  Ginoris, Y P ^a   Amaral, A L ^c   Nicolau, A ^b   Coelho, M A Z ^a   Ferreira, E C ^b  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b UNIVERSITY OF MINHO   (Portugal)

^c INSTITUTO POLITÉCNICO DE BRAGANÇA   (Portugal)

Author keywords

Image analysis; Metazoa; Pattern recognition.; Protozoa

Indexed keywords

DISCRIMINANT ANALYSIS; IMAGE ANALYSIS; MATLAB; NEURAL NETWORKS; PATTERN RECOGNITION; PROTOZOA;

METAZOA; WASTEWATER TREATMENT PLANTS;

ACTIVATED SLUDGE PROCESS;

ACTIVATED SLUDGE PROCESS; DISCRIMINANT ANALYSIS; IMAGE ANALYSIS; MATLAB; NEURAL NETWORKS; PATTERN RECOGNITION; PROTOZOA;

ACTIVATED SLUDGE; IDENTIFICATION METHOD; IMAGE ANALYSIS; METAZOAN; PROTOZOAN; WASTEWATER; WATER TREATMENT;

ACTIVATED SLUDGE; ARTICLE; ARTIFICIAL NEURAL NETWORK; IMAGE ANALYSIS; IMAGE PROCESSING; METAZOON; NONHUMAN; PARASITE IDENTIFICATION; PATTERN RECOGNITION; PRIORITY JOURNAL; PROTOZOON; STATISTICAL ANALYSIS; WASTE WATER MANAGEMENT; WASTE WATER TREATMENT PLANT;

METAZOA; PROTOZOA;

EID: 34248997191     PISSN: 00431354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.watres.2007.02.006     Document Type: Article

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