By Topic

Convolution operators as a basis for objective correlates of texture perception

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Benke, K.K. ; Mater. Res. Labs., Australian Dept. of Defence, Ascot Vale, Vic., Australia ; Skinner, D.R. ; Woodruff, C.J.

A method is described for deriving, from digitized images, objective measures that correlate strongly with simple perceptual judgements on the same images. Each measure is the normalized variance of an image obtained by convolving the original image with a specific local operator. This operator is designed to optimize the correlation between the particular percept and the objective measure, subject to certain specified constraints

Published in:

Systems, Man and Cybernetics, IEEE Transactions on  (Volume:18 ,  Issue: 1 )