By Topic

Object recognition of Leukemia affected cells using DCC and IFS

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

4 Author(s)
J Ferdin Joe ; CSE, Einstein College of Engineering, Anna University, Tirunelveli ; T. Ravi ; A. Natarajan ; S Prakash Kumar

Discriminative Canonical Correlations (DCC) technique is used to compare sets of images for Object Recognition. Canonical Correlations can be thought of as the angles between two d-dimensional subspaces, have recently attracted attention for image set matching. This technology is coupled with Iterated Function System (IFS) for images. This algorithm holds good for the fractal images to be compressed in a better way for the existing image set database. In this manuscript, how the Leukemia affected cells can be detected by using Discriminative Canonical Correlations technique coupled with Iterated Function Systems.

Published in:

Computing Communication and Networking Technologies (ICCCNT), 2010 International Conference on

Date of Conference:

29-31 July 2010