Multiple order gradient feature for macro-invertebrate identification using support vector machines

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5495 LNCS, Issue , 2009, Pages 489-497

  Tirronen, Ville ^a   Caponio, Andrea ^a,b   Haanpää, Tomi ^a   Meissner, Kristian ^c  

^a UNIVERSITY OF JYVÄSKYLÄ   (Finland)

^b POLITECNICO DI BARI   (Italy)

^c FINNISH ENVIRONMENT INSTITUTE   (Finland)

Author keywords

Benthic macro invertebrate; Biomonitoring; Classification; Machine vision; Multiple order gradient histograms; SVM

Indexed keywords

BENTHIC MACRO-INVERTEBRATE; BIOMONITORING; CLASSIFICATION; MACHINE VISION; MULTIPLE ORDERS; SVM;

ALGORITHMS; AUTOMATION; ECOLOGY; GRAPHIC METHODS; IMAGE MATCHING; IMAGE RECOGNITION; SUPPORT VECTOR MACHINES;

COMPUTER VISION;

EID: 78650729830     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04921-7_50     Document Type: Conference Paper

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