Phase congruency-based detection of circular objects applied to analysis of phytoplankton images

Pattern Recognition

Volumn 45, Issue 4, 2012, Pages 1659-1670

  Verikas, A ^a,b   Gelzinis, A ^a   Bacauskiene, M ^a   Olenina, I ^c,d   Olenin, S ^d   Vaiciukynas, E ^a  

^a KAUNAS UNIVERSITY OF TECHNOLOGY   (Lithuania)

^b HALMSTAD UNIVERSITY   (Sweden)

^c ENVIRONMENTAL PROTECTION AGENCY   (Lithuania)

^d KLAIPEDA UNIVERSITY   (Lithuania)

Author keywords

Detection of circular objects; Phase congruency; Phytoplankton images; Random forests; Stochastic optimization; SVM

Indexed keywords

CIRCULAR OBJECTS; PHASE CONGRUENCY; RANDOM FORESTS; STOCHASTIC OPTIMIZATION; SVM;

ALGORITHMS; AUTOMATION; DECISION TREES; FORESTRY; OPTIMIZATION; PHYTOPLANKTON; STOCHASTIC SYSTEMS;

ALGAE CONTROL;

ALGORITHMS; AUTOMATION; BIODIVERSITY; DECISION MAKING; FORESTS; IMAGE ANALYSIS; OPTIMIZATION; PATTERN RECOGNITION; PHYTOCHEMISTRY; WEED CONTROL;

EID: 83655167142     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2011.10.019     Document Type: Article

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