Title :
Domain ontology based efficient image retrieval
Author :
Singh, Priyamvada ; Goudar, R.H. ; Rathore, Rohit ; Srivastav, Anubhav ; Rao, Sreenivasa
Author_Institution :
Department of IT, College of Engineering, Roorkee, India
Abstract :
This paper presents the implementation of an efficient retrieval system for medical images. By combining ontology with the use of low level feature extraction we were able to retrieve meaningful information from the knowledge base. We also successfully bridged the gap between the low level feature and the high level semantics by applying the image processing technique to extract the low level features and associate those with the required custom made feature based domain ontology. The implemented system gives the list of URI´s of the Electronic Health Record of the patients giving both the medical details as well as the image properties (of medical images related to their records).
Keywords :
Biomedical imaging; Context; Databases; Image segmentation; Standards; User interfaces; Context Based Medical Image Retrieval (CBMIR); Image Retrieval; Low Level Features; Medical Images; Ontology; Region Based Image Retrieval (RBIR); Semantic Web;
Conference_Titel :
Intelligent Systems and Control (ISCO), 2013 7th International Conference on
Conference_Location :
Coimbatore, Tamil Nadu, India
Print_ISBN :
978-1-4673-4359-6
DOI :
10.1109/ISCO.2013.6481196