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
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;
Conference_Titel :
Neural Networks (IJCNN), The 2012 International Joint Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1488-6
Electronic_ISBN :
2161-4393
DOI :
10.1109/IJCNN.2012.6252587