{"title":"Algorithm for Searching for Optimal Values of Parameters of Singular Point Detectors Based on Local Image Characteristics","authors":"A. V. Likhachev","doi":"10.3103/s8756699023050059","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>A method is proposed that allows one to determine the optimal values of the parameters of singular point detectors <span>\\(\\mathbf{p}\\)</span> from the local characteristics of the image <span>\\({\\mu}\\)</span>. The method is based on searching for the extremum of the analytical dependence <span>\\(\\delta=P(\\mathbf{p},{\\mu})\\)</span>, where <span>\\(\\delta\\)</span> is the detector efficiency criterion defined as the weighted sum of the type I error and type II error. The dependence <span>\\(P(\\mathbf{p},{\\mu})\\)</span> interpolates the set <span>\\(\\delta(\\mathbf{p}_{i},{\\mu}_{j})\\)</span> obtained from a sample from a set of images of the same type. An experiment was performed with 40 radiographs of the lower part of the human spine, which were processed by the Harris–Stephens detector and SUSAN detector. It is found that when choosing the adjustable parameters of the detector using the proposed method, the <span>\\(\\delta\\)</span> criterion turned out to be significantly lower than for the values of these parameters at the boundaries of the recommended intervals.</p>","PeriodicalId":44919,"journal":{"name":"Optoelectronics Instrumentation and Data Processing","volume":"27 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2024-03-08","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/s8756699023050059","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
A method is proposed that allows one to determine the optimal values of the parameters of singular point detectors \(\mathbf{p}\) from the local characteristics of the image \({\mu}\). The method is based on searching for the extremum of the analytical dependence \(\delta=P(\mathbf{p},{\mu})\), where \(\delta\) is the detector efficiency criterion defined as the weighted sum of the type I error and type II error. The dependence \(P(\mathbf{p},{\mu})\) interpolates the set \(\delta(\mathbf{p}_{i},{\mu}_{j})\) obtained from a sample from a set of images of the same type. An experiment was performed with 40 radiographs of the lower part of the human spine, which were processed by the Harris–Stephens detector and SUSAN detector. It is found that when choosing the adjustable parameters of the detector using the proposed method, the \(\delta\) criterion turned out to be significantly lower than for the values of these parameters at the boundaries of the recommended intervals.
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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