Share Email Print

Proceedings Paper

Constructive Invariant Coupling Method Applications For Statistical Data Analysis And Effective Decision Rule Synthesis In Digital Image Processing Problems
Author(s): Nicolai A. Nechval
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Some digital image processing problem types, such as sorting, reference comparison, classification, remote sensing, monitoring and quickest adaptive detection of image "disorders" are dealt with. Principal fundamental problems to be solved here are: 1) selection of informative features, and 2) as full as possible extraction of useful information out of data and its effective use. A solution approach is suggested for the above problems, based on the concept of invariant "coupling" of unknown parameters by some data functions, and integration or summation for these invariant "couplings". Here, on the one hand, it appears possible to derive a synthesis procedure for effective statistical decision rules which are not strictly dominated by any other decision rules with respect to specified loss functions, and, on the other hand, the decision rules per se are readily implementable on digital computers. Some new results have been obtained, showing the highest effectivity to be achieved when handling small data volumes. Several examples are presented.

Paper Details

Date Published: 17 March 1983
PDF: 9 pages
Proc. SPIE 0359, Applications of Digital Image Processing IV, (17 March 1983); doi: 10.1117/12.965978
Show Author Affiliations
Nicolai A. Nechval, Civil Aviation Engineering Institute (Russian Federation)

Published in SPIE Proceedings Vol. 0359:
Applications of Digital Image Processing IV
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?