DocumentCode
2773330
Title
Hybrid technique for colour image classification and efficient retrieval based on fuzzy logic and neural networks
Author
Fernando, Ranisha ; Kulkarni, Siddhivinayak
Author_Institution
Sch. of Sci., Inf. Technol. & Eng., Univ. of Ballarat, Ballarat, VIC, Australia
fYear
2012
fDate
10-15 June 2012
Firstpage
1
Lastpage
6
Abstract
Developments in the technology and the Internet have led to increase in number of digital images and videos. Thousands of images are added to WWW every day. To retrieve the specific images efficiently from database or from Internet is becoming a challenge now a day. As a result, the necessity of retrieving images has emerged to be important to various professional areas. This paper proposes a novel fuzzy approach to classify the colour images based on their content, to pose a query in terms of natural language and fuse the queries based on neural networks for fast and efficient retrieval. Number of experiments was conducted for classification and retrieval of images on sets of images and promising results were obtained. The results were analysed and compared with other similar image retrieval system.
Keywords
Internet; fuzzy logic; image classification; image colour analysis; image retrieval; natural language processing; neural nets; visual databases; Internet; WWW; colour image classification; digital images; digital videos; fuzzy logic; hybrid technique; image database; image retrieval system; natural language; neural networks; query fusion; Feature extraction; Fuzzy logic; Histograms; Image color analysis; Image retrieval; Natural languages; Neural networks; classification; fuzzy logic; image retrieval; neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), The 2012 International Joint Conference on
Conference_Location
Brisbane, QLD
ISSN
2161-4393
Print_ISBN
978-1-4673-1488-6
Electronic_ISBN
2161-4393
Type
conf
DOI
10.1109/IJCNN.2012.6252587
Filename
6252587
Link To Document