DocumentCode :
3089333
Title :
Colour image annotation using hybrid intelligent techniques for image retrieval
Author :
Kulkarni, Santosh ; Kulkarni, Parag
Author_Institution :
Sch. of Sci., Inf. Technol. & Eng., Univ. of Ballarat, Ballarat, VIC, Australia
fYear :
2012
fDate :
4-7 Dec. 2012
Firstpage :
115
Lastpage :
119
Abstract :
This paper presents a novel technique for colour image annotation based on neural networks and fuzzy logic. Neural network is proposed for classifying the images based on their contents and fuzzy logic is proposed for interpreting the content of an image in terms of natural language. One of the main aspects of this research is to avoid re-training of the neural networks by training the content of the image. Neural network is not trained on database of images; therefore image can be added or deleted from image database without affecting the training. The proposed hybrid technique is tested on real world colour image dataset and promising results are obtained.
Keywords :
feature extraction; fuzzy logic; fuzzy set theory; image classification; image colour analysis; image retrieval; natural languages; neural nets; colour feature extraction; colour image annotation; fuzzy logic; fuzzy membership function; hybrid intelligent technique; image classification; image content interpretation; image retrieval; natural language; neural network; Feature extraction; Image color analysis; Image retrieval; Neural networks; Training; fuzzy logic; image annotation; image retrieval; intelligent techniques; neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2012 12th International Conference on
Conference_Location :
Pune
Print_ISBN :
978-1-4673-5114-0
Type :
conf
DOI :
10.1109/HIS.2012.6421319
Filename :
6421319
Link To Document :
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