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Investigation of the super-resolution methods for vision based structural measurement
Zhi Cong Chen,Lijun Wu,Zhouwei Cai,Chenghao Lin,Shuying Cheng,Peijie Lin 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.30 No.3
The machine-vision based structural displacement measurement methods are widely used due to its flexible deployment and non-contact measurement characteristics. The accuracy of vision measurement is directly related to the image resolution. In the field of computer vision, super-resolution reconstruction is an emerging method to improve image resolution. Particularly, the deep-learning based image super-resolution methods have shown great potential for improving image resolution and thus the machine-vision based measurement. In this article, we firstly review the latest progress of several deep learning based super-resolution models, together with the public benchmark datasets and the performance evaluation index. Secondly, we construct a binocular visual measurement platform to measure the distances of the adjacent corners on a chessboard that is universally used as a target when measuring the structure displacement via machine-vision based approaches. And then, several typical deep learning based super resolution algorithms are employed to improve the visual measurement performance. Experimental results show that super-resolution reconstruction technology can improve the accuracy of distance measurement of adjacent corners. According to the experimental results, one can find that the measurement accuracy improvement of the super resolution algorithms is not consistent with the existing quantitative performance evaluation index. Lastly, the current challenges and future trends of super resolution algorithms for visual measurement applications are pointed out.
김민호(Min-Ho Kim),김태영(Tae-Young Kim) 한국생산제조학회 2009 한국생산제조시스템학회 학술발표대회 논문집 Vol.2009 No.5
Producing high quality products with a fully automated machine tool system has been investigated in industry and academia for five decades. The current study focuses on the on-line evaluation and control of drilling processes. On-line tool wear monitoring and tool replacement at the proper time are important techniques, as it is necessary to prevent damage of cutting tool, machine, and workpiece. Unfortunately, past research has been superficial regarding the quality of a drilled hole. One of the cause is difficulty in determining hole quality. The measurement of hole location and diameter would be performed by CMM(Coordinate Measurement Machine). However, the usage of CMM requires much time and cost. In order to overcome the difficulties, we have developed a hole location and diameter error measuring device using machine vision. The developed measurement device attached to a CNC machine can determine hole quality quickly and easily.
김민호,김태영 한국공작기계학회 2009 한국공작기계학회 춘계학술대회논문집 Vol.2009 No.-
Producing high quality products with a fully automated machine tool system has been investigated in industry and academia for five decades. The current study focuses on the on-line evaluation and control of drilling processes. On-line tool wear monitoring and tool replacement at the proper time are important techniques, as it is necessary to prevent damage of cutting tool, machine, and workpiece. Unfortunately, past research has been superficial regarding the quality of a drilled hole. One of the cause is difficulty in determining hole quality. The measurement of hole location and diameter would be performed by CMM(Coordinate Measurement Machine). However, the usage of CMM requires much time and cost. In order to overcome the difficulties, we have developed a hole location and diameter error measuring device using machine vision. The developed measurement device attached to a CNC machine can determine hole quality quickly and easily.
머신 비전을 이용한 ALC 블록 생산공정의 자동 측정 시스템 개발
엄주진,허경무 제어로봇시스템학회 2004 제어·로봇·시스템학회 논문지 Vol.10 No.6
This paper presents a machine vision system, which inspects the measurement of the ALC block on a real-time basis in the production process. The automatic measurement system was established with a CCD camera, an image grabber, and a personal computer without using assembled measurement equipment. Images obtained by this system was processed by an algorithm, specially designed for an enhanced measurement accuracy. For the realization of the proposed algorithm, a preprocessing method that can be applied to overcome uneven lighting environment, boundary decision method, unit length decision method in uneven condition with rocking objects, and a projection of region using pixel summation are developed. From our experimental results, we could find that the required measurement accuracy specification is sufficiently satisfied by using the proposed method.
원형구멍 정밀 내경측정을 위한 영상처리 개선에 관한 연구
박창용,권현규,이정화,장화신 한국반도체디스플레이기술학회 2017 반도체디스플레이기술학회지 Vol.16 No.3
In this paper, the measurement of the inner diameter dimension of the circular hole by using a machine vision system was studied. This paper was focused on the theory and key technologies of machine vision inspection technology for the improvement of measurement accuracy and speed of the micro circular holes. A new method was proposed and was verified through the experiments on Gray conversion, binarization, edge extraction and Hough transform in machine vision system processes. Firstly, the Hough transform was proposed in order to improve the speed increase and implementation ease, it demonstrated the superiority of Hough transform and improvement through a comparative experiment. Secondly, we propose a calibration method of the system in order to obtain exactly the inner diameter of the circular hole. Finally, we demonstrate the reliability of the entire system as a MATLAB-based implementation of the GUI program, measuring the inner diameter of the circular hole through the circular holes of different dimensions measuring experiment.
박종섭(JongSeop Park),지상엽(Sang-yub Ji),김호연(Hoyeon Kim),조재수(Jae-Soo Cho) 제어로봇시스템학회 2017 제어·로봇·시스템학회 논문지 Vol.23 No.5
In this paper, we propose a machine vision system for automatically performing the conventional manual shoe soles measurement process and verify its practical effectiveness through various experiments. Shoe soles are injection-molding products produced by injecting rubber materials into molds. There are many types and sizes of shoe models. The nature of rubber material, which is deformed depending on environmental factors such as temperature and humidity, causes many problems in automatic dimension measurement using a machine vision system. In this paper, we analyze the factors to be considered to automate the measurements for various types of shoe sole dimensions (longitudinal and lateral), and propose automatic dimension vision measurement methods for the analyzed problems. We verify the accuracy and consistency of the proposed vision measurement system by creating a flat shoe sole model, and also verify through experiments that the system has valid accuracy at various positions. Finally it is shown that the proposed method can be applied to the real production process by comparing the measured values at various positions on the moving conveyor belt with its actual dimensions.
목은빈,정완진,이창환 한국소성∙가공학회 2023 소성가공 : 한국소성가공학회지 Vol.32 No.1
In this study, the deformation of materials was measured using the video and tracking API of OpenCV. Circular markers attached to the material were selected the region of interests (ROIs). The position of the marker was measured from the area center of the circular marker. The position and displacement of the center point was measured along the image frames. For the verification, tensile tests were conducted. In the tensile test, four circular markers were attached along the longitudinal and transverse directions. The strain was calculated using the distance between markers both in the longitudinal and transverse direction. As a result, the stress-strain curve obtained using machine vision is compared to the stress-strain curve obtained from the DIC results. RMSE values of the strain from the machine vision and DIC were less than 0.005. In addition, as a measurement example, a bending angle and springback measurement according to bending deformation, and a moving position measurement of a punch, a blank holder, and a die by time change were performed. Using the proposed method, the deformation and displacement of the materials were measured precisely and easily.
자동차용 축대칭 형상 부품 외경 자동측정시스템에 관한 연구
반갑수(Kap-Soo Ban),배준영(Jun-Young Bae) 한국기계가공학회 2013 한국기계가공학회지 Vol.12 No.3
Automatic measurement system is required since cycle time and cost of production are increased by various factors in manual systems. This paper presents a machine vision based prototype measurement system for the automotive axisymmetric shape parts which are generally measured by a manual system that is required the tolerance of the part is very small on each machined surface. This measurement system adopts a method in which optical lens is transferred along the profile of the part to minimize measurement cycle time. The main interest of this paper is a development of an optimum measurement algorithm to the outside diameter of the parts that can be applied to various combinations of hardware. The operating system used to implement the whole system is Window XP and corresponding environment.