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학술논문한국생산제조학회지2021.08 발행

이미지 보정을 이용한 제한된 환경에서의 디지털 이미지 상관법

Digital Image Correlation using Image Calibration under Restricted Environment

오주환(서강대학교); 김종민(서강대학교); 이철수(서강대학교)

30권 4호, 323~331쪽

초록

Digital Image Correlation (DIC) is a new method of measuring material properties. DIC requires a fixed camera and a separate instrument to acquire images. The measurement position and orientation for the DIC measurement of a workpiece are severely constrained. Therefore, additional devices are required. In this study, only a marker with a grid pattern was attached, and a photograph of a specimen surface was captured without additional equipment. Specimen images were moved and tilted because the camera would shake during the experiment and the camera and specimen were not parallel. The acquired specimen images might be shifted or deformed. Sample images were acquired form various angles and then calibrated with perspective transformation by a developed algorithm and software. Surface strain (or deformation) field data were obtained using the calibrated specimen images and DIC. Therefore, the developed algorithm was verified by comparing the strain field data of the corrected DIC images.

Abstract

Digital Image Correlation (DIC) is a new method of measuring material properties. DIC requires a fixed camera and a separate instrument to acquire images. The measurement position and orientation for the DIC measurement of a workpiece are severely constrained. Therefore, additional devices are required. In this study, only a marker with a grid pattern was attached, and a photograph of a specimen surface was captured without additional equipment. Specimen images were moved and tilted because the camera would shake during the experiment and the camera and specimen were not parallel. The acquired specimen images might be shifted or deformed. Sample images were acquired form various angles and then calibrated with perspective transformation by a developed algorithm and software. Surface strain (or deformation) field data were obtained using the calibrated specimen images and DIC. Therefore, the developed algorithm was verified by comparing the strain field data of the corrected DIC images.

발행기관:
한국생산제조학회
DOI:
http://dx.doi.org/10.7735/ksmte.2021.30.4.323
분류:
기계공학

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이미지 보정을 이용한 제한된 환경에서의 디지털 이미지 상관법 | 한국생산제조학회지 2021 | AskLaw | 애스크로 AI