THE PREDICTION OF CROSS-CORRELATION ACCURACY IN DIGITAL STEREO-PAIR IMAGES

Persistent Link:
http://hdl.handle.net/10150/281937
Title:
THE PREDICTION OF CROSS-CORRELATION ACCURACY IN DIGITAL STEREO-PAIR IMAGES
Author:
Ryan, Thomas Wilton
Issue Date:
1981
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The behavior of digital cross-correlation algorithms as applied to image matching problems is examined in terms of the relationship between measureable image properties and algorithm characteristics. Statistical image quality measures are developed which could be employed in a preprocessor to predict the performance of automatic stereo-compilation equipment. The measures include a quantity derived from the Cramer-Rao lower bound on the variance of any unbiased parameter estimator, various contrast measures such as variance, contrast modulation, and median absolute deviation, and a stationarity detector related to the variance gradient. These measures are based on image and correlator models which describe the behavior of correlation processors under conditions of low image contrast or signal-to-noise ratio, geometric distortion, and image non-stationarity. Computer simulations using synthetic imagery were performed to verify the various models, and indicate the potential for the use of image quality measures in the predicting of correlation behavior. Implications of the models in terms of correlation processor design and implementation are discussed.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Image processing -- Digital techniques.; Correlation (Statistics); Optical data processing.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Graduate College; Electrical Engineering
Degree Grantor:
University of Arizona
Advisor:
Hunt, Bob

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleTHE PREDICTION OF CROSS-CORRELATION ACCURACY IN DIGITAL STEREO-PAIR IMAGESen_US
dc.creatorRyan, Thomas Wiltonen_US
dc.contributor.authorRyan, Thomas Wiltonen_US
dc.date.issued1981en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe behavior of digital cross-correlation algorithms as applied to image matching problems is examined in terms of the relationship between measureable image properties and algorithm characteristics. Statistical image quality measures are developed which could be employed in a preprocessor to predict the performance of automatic stereo-compilation equipment. The measures include a quantity derived from the Cramer-Rao lower bound on the variance of any unbiased parameter estimator, various contrast measures such as variance, contrast modulation, and median absolute deviation, and a stationarity detector related to the variance gradient. These measures are based on image and correlator models which describe the behavior of correlation processors under conditions of low image contrast or signal-to-noise ratio, geometric distortion, and image non-stationarity. Computer simulations using synthetic imagery were performed to verify the various models, and indicate the potential for the use of image quality measures in the predicting of correlation behavior. Implications of the models in terms of correlation processor design and implementation are discussed.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectImage processing -- Digital techniques.en_US
dc.subjectCorrelation (Statistics)en_US
dc.subjectOptical data processing.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineElectrical Engineeringen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorHunt, Boben_US
dc.identifier.proquest8115600en_US
dc.identifier.oclc7801272en_US
dc.identifier.bibrecord.b18072884en_US
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