The Community for Technology Leaders
Green Image
Issue No. 06 - June (1985 vol. 7)
ISSN: 0162-8828
pp: 743-747
B. V. Sheela , 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.
B. V. Sheela, "A Cognitive Heuristic Algorithm for Reseau Mark Detection by Hill Climbing", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 7, no. , pp. 743-747, June 1985, doi:10.1109/TPAMI.1985.4767735
104 ms
(Ver 3.3 (11022016))