By Topic

A Cognitive Heuristic Algorithm for Reseau Mark Detection by Hill Climbing

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

1 Author(s)
Sheela, B.V. ; ISRO Satellite Center, Mission Operating and Planning Division, Peenya Industrial Estate, Peenya, Bangalore-560-058, India.

A hill-climbing approach for the automatic detection of Reseau marks (RM) on the vidicon type of imagery is presented. This procedure is based on the minimization of a figure of merit which is a measure of the clustering nature of the gray values of the Reseau pixels around a nominal value. The often-encountered problem of false detection is circumvented by incorporating the concept of ``learning'' the mean gray value of the RM pixels. Results of applying the algorithm to both synthetic and actual imagery demonstrate the efficacy of the proposed method.

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:PAMI-7 ,  Issue: 6 )