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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149301
Doc. No : ET21093
Main Entry : Wit Tadeusz Wisniewski
Title Proper : SUBPIXEL IMAGE CO-REGISTRATION USING A NOVEL DIVERGENCE MEASURE
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Information theoretical measures are commonly used for co-registration in medical imaging.The published methods apply Shannonبs Entropy to the Joint Measurement Space(JMS) of two images. This work introduces into the same context a new set of statisticaldivergence measures derived from Fisher Information. The new methods described in thiswork are applicable to uncorrelated imagery and imagery that becomes statistically leastdependent upon co-alignment. Both characteristics occur with multi-modal imagery andcause cross-correlation methods, as well as maximum dependence indicators, to fail.Fisher Information-based estimators, together as a set with an Entropic estimator, providesubstantially independent information about alignment. This increases the statisticaldegrees of freedom, allowing for precision improvement and for reduced estimator failurerates compared to Entropic estimator performance alone..
Subject : Electericl tess
: برق
electronic file name : TL44241.pdf
Title and statement of responsibility and : SUBPIXEL IMAGE CO-REGISTRATION USING A NOVEL DIVERGENCE MEASURE [Thesis]
 
 
 
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