Case-based object recognition for airborne fungi recognition

Artificial Intelligence in Medicine

Volumn 36, Issue 2, 2006, Pages 137-157

  Perner, Petra ^a   Jänichen, Silke ^a   Perner, Horst ^a  

^a Institute of Computer Vision and Applied Computer Sciences   (Germany)

Author keywords

Acquisition of form models; Biotechnological application; Case based object recognition; Clustering; Fungi spore recognition; Shape alignment; Similarity measure

Indexed keywords

BIOMEDICAL EQUIPMENT; COMPUTER VISION; LEARNING SYSTEMS; MATHEMATICAL MODELS; OBJECT RECOGNITION; SET THEORY;

CASE-BASED OBJECT RECOGNITION; FUNGI SPORE RECOGNITION; SHAPE ALIGNMENT; SIMILARITY MEASURE;

FUNGI;

AIRBORNE INFECTION; ALGORITHM; COMPUTER AIDED DESIGN; COMPUTER ANALYSIS; COMPUTER GRAPHICS; CONFERENCE PAPER; CONTROLLED STUDY; DIGITAL COMPUTER; EVALUATION; FUNGUS IDENTIFICATION; FUNGUS SPORE; IMAGE ANALYSIS; IMAGE QUALITY; NONHUMAN; PRIORITY JOURNAL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMEDICAL TECHNOLOGY; CLUSTER ANALYSIS; HUMANS; PATTERN RECOGNITION, AUTOMATED; SPORES, FUNGAL;

EID: 32644482591     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2005.04.002     Document Type: Conference Paper

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