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dc.contributor.authorYanik, Haydar
dc.contributor.authorTuran, Buelent
dc.date.accessioned2024-03-12T19:34:23Z
dc.date.available2024-03-12T19:34:23Z
dc.date.issued2023
dc.identifier.issn1300-1884
dc.identifier.issn1304-4915
dc.identifier.urihttps://doi.org/10.17341/gazimmfd.979121
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/1158792
dc.identifier.urihttps://hdl.handle.net/20.500.12450/2533
dc.description.abstractPurpose: It is aimed to accurately detect the distance of the target object to the cameras at close and long distances with an image meter.Theory and Methods: For measurement, the target object must be separated from the background. For this purpose, segmentation is made from image processing techniques. One of the Stereo cameras takes a reference image, while the other is connected to an electro-mechanical system that can move both Angular and linear. In order to fully match the target object images to the camera images, the moving camera is moved precisely linear and angular. In this way, the angle and linear distance, which minimize the distance between the image axes, are used as parameters used to calculate the distance of the target object to the cameras. Mechanical and software errors that may occur in the system have been added to the distance detection functionResults: In our study, a method was developed that is not affected by the area covered by the Pixel. This method contains an electromechanical system and is called Image-Meter. Theoretical calculations of the system were made with developed equations. As a result of calculations, the Maximum error was determined as 0.17%. During the implementation phase of the designed prototype, errors that may occur due to hardware and software components are predicted. It is believed that the Maximum error rate of the system developed together with these errors will be less than 1%.Conclusion: The missing aspects of stereo and mono camera distance measurement systems were investigated for the image processing based distance measurement device that is planned to be developed. a new method has been developed to eliminate parameters that affect the measurement result. A prototype was designed to implement the developed method. theoretical calculations have been completed for this measuring device called image-meter. In theoretical calculations, it was determined that the accuracy of the image-meter was below 0.2%.en_US
dc.description.sponsorshipTokat Gazi Osmanpa?a University Graduate Thesis Support Program Projects (BAP); [2020/106]en_US
dc.description.sponsorshipAcknowledgment This study was carried out within the scope of the project named Development of a Hybrid Method for Image Processing Based Distance Detection, numbered 2020/106, supported by Tokat Gazi Osmanpa?a University Graduate Thesis Support Program Projects (BAP)en_US
dc.language.isoengen_US
dc.publisherGazi Univ, Fac Engineering Architectureen_US
dc.relation.ispartofJournal Of The Faculty Of Engineering And Architecture Of Gazi Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPixel per meteren_US
dc.subjectField of viewen_US
dc.subjectDistance Measurementen_US
dc.subjectDistance measurement with Stereo Camerasen_US
dc.subjectTriangulation Methoden_US
dc.titleImage processing based distance measurement with Image Meteren_US
dc.typearticleen_US
dc.departmentAmasya Üniversitesien_US
dc.authoridTuran, Bülent/0000-0003-0673-469X
dc.authoridYANIK, Haydar/0000-0003-2784-1769
dc.identifier.volume38en_US
dc.identifier.issue2en_US
dc.identifier.startpage1129en_US
dc.identifier.endpage1139en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-85158032048en_US
dc.identifier.trdizinid1158792en_US
dc.identifier.doi10.17341/gazimmfd.979121
dc.department-temp[Yanik, Haydar] Amasya Univ, Merzifon Vocat Sch, Dept Elect & Automation, TR-05300 Amasya, Turkiye; [Turan, Buelent] Tokat Gaziosmanpasa Univ, Fac Engn & Architecture, Dept Comp Engn, Tasliciftlik Campus, TR-60150 Tokat, Turkiyeen_US
dc.identifier.wosWOS:000873967500039en_US
dc.authorwosidTuran, Bülent/T-3325-2019
dc.authorwosidYANIK, Haydar/AEV-8589-2022


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