DocumentCode :
1888164
Title :
Ontology-based insect recognition
Author :
Shiguo, Huang ; Mingquan, Zhou ; Guohua, Geng ; Xiuli, Wang
Author_Institution :
Comput. & Inf. Coll., Fujian Agric. & Forestry Univ., Fuzhou
fYear :
2009
fDate :
11-12 April 2009
Firstpage :
176
Lastpage :
178
Abstract :
Ontology for insect recognition is a powerful tool to express semantics of insects and to share the knowledge of insects. In this paper, the framework of ontology based insect recognition is proposed. The framework includes training layer, ontology layer and recognition layer as well as methods for communicating between different layers. The training layer includes insect image samples database, feature extraction, insect feature knowledge database, insect type knowledge database; the ontology layer includes insect image visual feature ontology, insect image media feature ontology, classification module, insect morphology and taxonomy ontology.
Keywords :
database management systems; feature extraction; object recognition; ontologies (artificial intelligence); pattern classification; classification module; feature extraction; includes insect image samples database; insect feature knowledge database; insect image media feature ontology; insect image visual feature ontology; insect morphology; insect type knowledge database; ontology-based insect recognition; taxonomy ontology; Feature extraction; Image databases; Image recognition; Information retrieval; Insects; Morphology; Ontologies; Spatial databases; Taxonomy; Visual databases; insect recognition; ontology; ontology layer; recognition layer; training layer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on
Conference_Location :
Taizhou
Print_ISBN :
978-1-4244-3987-4
Type :
conf
DOI :
10.1109/IASP.2009.5054658
Filename :
5054658
Link To Document :
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