Colour image annotation using hybrid intelligent techniques for image retrieval | Zendy

Siddhivinayak Kulkarni | Zendy; Pradnya Kulkarni | Zendy

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Colour image annotation using hybrid intelligent techniques for image retrieval

Author(s) -

Siddhivinayak Kulkarni,

Pradnya Kulkarni

Publication year - 2013

Publication title -

2012 12th international conference on hybrid intelligent systems (his)

Language(s) - English

Resource type - Conference proceedings

ISBN - 978-1-4673-5116-4

DOI - 10.1109/his.2012.6421319

Subject(s) - communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , power, energy and industry applications , transportation , signal processing and analysis , robotics and control systems , fields, waves and electromagnetics , engineered materials, dielectrics and plasmas

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.

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