Image Registration Using Material Information

Firooz A. Sadjadi; Ernest L. Hall

doi:10.1117/12.958173

21 February 1980 Image Registration Using Material Information

Firooz A. Sadjadi, Ernest L. Hall

Proceedings Volume 0205, Image Understanding Systems II; (1980) https://doi.org/10.1117/12.958173
Event: 23rd Annual Technical Symposium, 1979, San Diego, United States

Abstract

In studying the performance of any matching technique for image registration it is important to select an appropriate reference image. In this paper a set of a priori probabilities of detection based on explicit information about the materials which surround the edges is used in a strategy for reference selection. This set of a priori probabilities of detection is obtained by finding the frequency of occurence of material edges. The correlation results for three edges, each belonging to a different material class, are presented. The results of two criteria for optimum reference selection, namely the Neyman-Pearson and the ideal observer, are used to show that the best choice appears to be a compromise. This minimizes the total probability of error while giving a higher probability of correct acquisition for a fixed probability of false alarm.

Citation Download Citation

Firooz A. Sadjadi and Ernest L. Hall "Image Registration Using Material Information", Proc. SPIE 0205, Image Understanding Systems II, (21 February 1980); https://doi.org/10.1117/12.958173

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available