Natural image classification in nonlinear network model

Hanif Azhar; Khan Iftekharuddin; Robert Kozma; Abhinav Admala

doi:10.1117/12.619816

15 September 2005 Natural image classification in nonlinear network model

Hanif Azhar, Khan Iftekharuddin, Robert Kozma, Abhinav Admala

Proceedings Volume 5907, Photonic Devices and Algorithms for Computing VII; 59070P (2005) https://doi.org/10.1117/12.619816
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

Abstract

We study the non-linear behavior of the KIII model for natural image classification. The KIII model is designed to be a dynamic computational model that simulates the sensory cortex. The KIII model has been explored for rudimentary pattern recognition and classification in noisy environment. We extend the study of KIII models in understanding whether self-organized neural populations can be exploited into perceptual and memory producing systems such as in natural image classification. Our goal is to obtain a quantitative index on how well the KIII model behaves when it is assigned the task to identify and distinguish one class of natural image from the other based on color and texture features. For twenty training data, twenty validation data and eighty test data set for four image classes, we obtain 80% correct classification using the KIII. We compare a standard non linear neural network tools such as back propagation for the classification of the same set of natural images and obtain 65% correct classification. We conclude that dynamic neural computational models such as KIII may be suitable candidates for natural image classification.

Citation Download Citation

Hanif Azhar, Khan Iftekharuddin, Robert Kozma, and Abhinav Admala "Natural image classification in nonlinear network model", Proc. SPIE 5907, Photonic Devices and Algorithms for Computing VII, 59070P (15 September 2005); https://doi.org/10.1117/12.619816

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available