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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149115
Doc. No : ET20907
Main Entry : Viritha Yella
Title Proper : ENHANCED CORRELATION TECHNIQUE FOR IMAGE TEMPLATE MATCHING
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Several computer vision techniques like image registration, pattern recognitionand feature extraction demand either precise matching of a template to an image orperfect alignment of two images. To accomplish these tasks, appropriate similaritymeasure is chosen depending on the type of requirement.The cross correlation (CC), Gradient correlation and the mutual information (MI)are the most commonly used similarity measures for image registration. The CC iscomputationally very ecient and is highly robust in presence of noise but it results in.
Subject : Electericl tess
: برق
electronic file name : TL44053.pdf
Title and statement of responsibility and : ENHANCED CORRELATION TECHNIQUE FOR IMAGE TEMPLATE MATCHING [Thesis]
 
 
 
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