Volume : III, Issue : VI, June - 2013

Image Retrieval System using Fuzzy–Softmax MLP Neural Network

G. Ravi Teja, M. R. Narasinga Rao

Abstract :

Many databases contain huge volume of data, mostly in the form of digital images. Digital images such as vector or raster type or medical images such as X–Rays, MRI, and CT are extensively used in research, diagnosis and planning treatment schedule. Large medical institutions produce gigabits of image data every month. For effective utilization of medical images from the archives for diagnosis, research and educational purpose, efficient image retrieval system is essential. Image retrieval systems extract features in the image to a feature vector and use similarity measures for retrieval of images from group of images. Thus the effectiveness of the image retrieval system solely depends upon the feature selection and the way they are classified. The aim of this paper is to implement a novel feature selection mechanism using Discrete Wavelet Transforms (DWT) with Information Gain for feature reduction. Classification results obtained from the proposed method using existing classifiers is compared with the proposed Neural Network model. Results obtained show that the proposed Neural Network classifier outperforms conventional classification algorithms and multi layer perceptron neural network.

Keywords :

Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

G.Ravi Teja, M.R. Narasinga Rao Image Retrieval System using Fuzzy-Softmax MLP Neural Network Indian Journal of Applied Research, Vol.III, Issue.VI June 2013

Number of Downloads : 709

References :