A Computational Intelligence Based Classification of Endoscopic Tympanic Membrane Images

A Computational Intelligence Based Classification of Endoscopic Tympanic Membrane Images
Author(s):
Roshani Deepak Pendhari, Dr.V.L Agrawal
Keywords:
Neural network, Microsoft excel, MatLab, Endoscopic Tympanic Membrane Images.
Abstract
In this paper classification Endoscopic Tympanic Membrane Images , which uses the WHT transform over the Tympanic Membrane images as feature detector and a constructive one hidden layer Multilayer perceptron neural network as classification Tympanic Membrane Images classifier technique is applied to a database consisting of images of 115 having endoscopic Tympanic Membrane Images. It is demonstrated that the best recognition rates are 97.29%. Finally, optimal algorithm has been developed on the basis of the best classifier performance. The Genetic algorithm will provide an effective alternative method of Classification endoscopic Tympanic Membrane using Neural Network Approach.
Article Details
Unique Paper ID: 154621 Publication Volume & Issue: Volume 8, Issue 11 Page(s): 725 - 729
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