{"title":"Synthesis and Optimization of a Stochastic Algorithm for Image Registration Using Shannon’s Maximum Mutual Information Criterion","authors":"A. G. Tashlinskii, R. M. Ibragimov, G. L. Safina","doi":"10.3103/s8756699024700213","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>An algorithm for estimating image registration parameters using Shannon’s maximum mutual information criterion is synthesized on the basis of the mathematical methods of stochastic gradient adaptation. Expressions for the gradient of mutual information are obtained. At the same time, the derivatives of the entropy of images with respect to the estimated parameters are found using the Parzen window method. The synthesized algorithm is optimized to improve performance.</p>","PeriodicalId":44919,"journal":{"name":"Optoelectronics Instrumentation and Data Processing","volume":"85 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optoelectronics Instrumentation and Data Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3103/s8756699024700213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
An algorithm for estimating image registration parameters using Shannon’s maximum mutual information criterion is synthesized on the basis of the mathematical methods of stochastic gradient adaptation. Expressions for the gradient of mutual information are obtained. At the same time, the derivatives of the entropy of images with respect to the estimated parameters are found using the Parzen window method. The synthesized algorithm is optimized to improve performance.
期刊介绍：
The scope of Optoelectronics, Instrumentation and Data Processing encompasses, but is not restricted to, the following areas: analysis and synthesis of signals and images; artificial intelligence methods; automated measurement systems; physicotechnical foundations of micro- and optoelectronics; optical information technologies; systems and components; modelling in physicotechnical research; laser physics applications; computer networks and data transmission systems. The journal publishes original papers, reviews, and short communications in order to provide the widest possible coverage of latest research and development in its chosen field.
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