By Topic

Segmentation of natural images based on multiresolution pyramids linking of the parameters of an autoregressive rotation invariant model. Application to leather defects detection

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
$33 $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

1 Author(s)
A. F. Limas Serafim ; LNETI, Lisboa, Portugal

Random field (RF) parameters can be subjects of a probability distribution useful for image segmentation. A multiresolution methodology, based on the node linking of a pyramid that takes into account some kind of a Gaussian distribution for node values and its geometry is applied to the RF parameters to segment the natural image segmented and enhance some of the immersed objects. Before applying the above described system to a case study (calf leather), a simulation for the multiresolution methodology is applied to a generated RF, having RF objects with different means

Published in:

Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,

Date of Conference:

30 Aug-3 Sep 1992