Image Classification and Retrieval Based on Crisp and Fuzzy Ontology
Madiha Liaqat, Zia-ul-Qayyum, Adeel Akram
Journal of Information & Systems Management, Vol. 2, No. 2, 2012.
DOI: 
Link: http://www.dline.info/jism/fulltext/v2n2/2.pdf
Abstract:
This paper analyzes the crisp and fuzzy ontology for image classification and retrieval. It addresses a question of how fuzzy ontology performs as compared to crisp ontology in retrieving images. The approach is based on building ontology of natural scenes using ProtÃ©gÃ© for querying in more natural way and then integrating fuzzy logic to improve the image retrieval.