• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.652-654
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• 2002

본 연구에서는 물체의 길이론 측정하기 위한 영상 처리 방법으로 하나의 이미지 프레임으로는 처리하기 힘든 큰 물체를 두 개의 프레임으로 분할하여 처리함으로써 정밀한 측정을 할 수 있는 길이 측정 기법을 제안한다. 본 연구에서 제안한 분할 측정 방식은 이진수로 인코딩되어 있는 눈금 코드 블록을 이용하여 그 차이를 계산하여 상대적으로 측정되어 물체의 크기에 상관없이 정확한 측정이 가능한 방식으로, 공장자동화 시스템의 제품 검사 공정에 효과적으로 사용됨을 보인다.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.4
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• pp.679-684
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• 2019

We propose a method to measure the number of specific species of class using CAFFE model and a method to measure length and width of object using stereo vision. To obtain the width of an object, the location coordinates of objects appearing on the left and right sensor is compared and the distance from the sensor to the object is obtained. Then the length of the object in the image by using the distance and the approximate value of the actual length of the object is calculated.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.285-288
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• 2007

A realization for automatic stock cubic measuring and distributing management embedded system with 3 dimensional ultrasonic sensing is presented in this paper. The height and width of cubic are measured by comparing the 3 values from 3 ultrasonic sensors with reference when an object is passing the conveyer and length is calculated by the passing time and velocity, compensate cubic values for error to vary with the environment temperature, and reduce the error by averaging the sensing data not to be right posture of object. The system enables to classify and load a packed stocks at the store and transportation practically based on the rectangular hexahedral objects.

• Proceedings of the KSRS Conference
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• 2008.03a
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• pp.25-28
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• 2008

본 논문에서는 GB-SAR의 간섭기법을 이용하여 물체의 변위 측정에 대한 정밀도를 조사하였으며, 또한 대기보정을 거친 후 정밀도의 변화에 대해서 확인하였다. GB-SAR 시스템에서 안테나는 중심주파수 5.3 GHz, 밴드 폭 600 MHz인 C밴드 안테나를 사용하였고, 신호의 증폭을 위해 마이크로파 앰프를, 다편파 측정 및 분석을 위하여 스위치를 장착하였다. 레일의 총 길이는 5 m, 이동간격은 5 cm, 최대 관측 거리는 약 200 m이다. 변위 측정에 사용된 이동산란체는 trihedral corner reflector로서, 시스템 전방 약 160 m에 위치하며 시스템 방향으로 1 mm에서 40 mm 전진시켰다. 이동산란체의 실제 변위와 GB-SAR 시스템의 위상변화로 관측된 변위의 상관계수는 편파에 따라 0.9995에서 0.9996으로 나타났다. 마이크로파의 전파과정에서 거리와 습도에 따른 지연 효과를 고려하기 위하여 대기보정식을 구하였으며, 이를 이동산란체의 위상에 적용한 결과 상관계수는 0.9997에서 0.9999의 값을 나타냈고 40 mm 이동시 오차가 1 mm 이내를 나타냄으로서 대기보정을 통한 결과가 더 높은 정밀도를 나타냄을 확인하였다.

• Journal of the Korean Society of Radiology
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• v.7 no.2
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• pp.131-136
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• 2013

Panorama of dental radiation generators can observe the wide anatomical structures of oral and maxillofacial areas but there can be distortion of lengths, angles, or shapes. CBCT can diagnose 3D images and get the ones whose errors by superposition and interference are remarkably smaller between anatomical structures. But the quality of the images by movement of subjects can be lowered as it takes long to diagnose them. And if there are impermeable radiation objects like metal in mouths, impermeable radiation lines can radially appear with the objects as center. This study tries to analyze accuracy of panorama and CBCT and get useful anatomical information in dental treatment by comparing the length of wisdom teeth which were measured by Panorama and CBCT with the teeth which were actually extracted and analyzing distortion of the teeth. The test result could be found that Panorama is expanded by average 7.3% as the errors of Panorama and Digital Vernier Caliper range from 110.7% to 103.9%. The length of wisdom teeth which were measured in CBCT and Digital Vernier Caliper could be found that the error range is 1.3%. And the length of wisdom teeth which were measured in Panorama and Digital Vernier Caliper has found that the error range shows 7.3%. So it could be found that the images of CBCT is about 6% more exact than those of Panorama. It could be found that CBCT shows the more exact images than those of Panorama. But because the examination expenses of CBCT are higher than those of Panorama and exposure dose of CBCT is much more than that of Panorama, it is thought to find proper ways in examination.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.449-455
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• 2022

In this paper, we propose a position measuring system using trilateration based on the illuminance of a light-emitting diode (LED). Three LEDs are located on the ceiling of the virtual space, and each fixed coordinate is inputted to the monitoring program, and Length to the illuminance sensor is drawn through the relational expression of the length and illuminance value from the respective LED. Based on the derived length, the trilateration method is used to find object location information in virtual space. By using the least square equation to minimize the error of the length drawn to trilateration, the error is reduced to the utmost. Unlike the existing indoor positioning system using visible light communication (VLC), the proposed system does not require synchronization between the transmitter and the receiver, so the system can be configured simply.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.77-84
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• 2024

In this paper, we propose a method for accurately and rapidly detecting defects in wire harnesses by utilizing computer vision to calculate six crucial measurement values: the length of crimped terminals, the dimensions (width) of terminal ends, and the width of crimped sections (wire and core portions). We employ Harris corner detection to locate object positions from two types of data. Additionally, we generate reference points for extracting measurement values by utilizing features specific to each measurement area and exploiting the contrast in shading between the background and objects, thus reflecting the slope of each sample. Subsequently, we introduce a method using the Euclidean distance and correction coefficients to predict values, allowing for the prediction of measurements regardless of changes in the wire's position. We achieve high accuracy for each measurement type, 99.1%, 98.7%, 92.6%, 92.5%, 99.9%, and 99.7%, achieving outstanding overall average accuracy of 97% across all measurements. This inspection method not only addresses the limitations of conventional visual inspections but also yields excellent results with a small amount of data. Moreover, relying solely on image processing, it is expected to be more cost-effective and applicable with less data compared to deep learning methods.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.627-628
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• 2008

본 논문에서는 수직 자계를 이용한 배관 내 자성체를 측정하는 시스템을 개발하였다. 자성체 면적 변화에 따른 측정 신호의 정밀도를 높이기 위해 배관 내 자기장의 크기 및 균일도를 고려한 설계 및 해석을 하였다. 인가 자기장의 크기는 반도체 소자의 노이즈 레벨($0.4{\sim}0.6$[G])보다 크고, 대상물체의 1% 면적 변화에 따른 ${\Delta}B$의 민감도를 고려하였으며, 코어의 형상 및 길이를 변화에 따른 배관 내 자기장의 크기와 균일도를 유한요소법을 이용하여 해석하였다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.1
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• pp.66-76
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• 2016

Determination of type of a vehicle is being used in various areas such as collecting tolls, collecting statistical traffic data and traffic prognosis. Because most of the vehicle type classification systems depend on vehicle length indirectly or directly, highly reliable automatic vehicle length measurement system is crucial for them. This study makes use of a pencil beam laser rangemeter and devises a mechanical device which rotates the laser rangemeter. The implemented system measures the range between a point and the laser rangemeter then indicates it as a spherical coordinate. We obtain several silhouettes of cross section of the vehicle, the rate of change of the silhouettes, signs of the rates then squares the rates to apply cell averaging constant false alarm rate (CA-CFAR) technique to find out where the border is between the vehicle and the background. Using the border and trigonometry, we calculated the length of the vehicle and confirmed that the calculated vehicle length is about 94% of actual length.

• Spatial Information Research
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• v.7 no.1
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• pp.89-101
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• 1999

This paper represents methods to calculate heights of buildings by estimating their shadow lengths in a single and panchromatic image of the KVR-1000 camera system Shadows are identified Com brightness intensity of each pixel, and their lengths are measured. Two methods are implemented to estimate heights from shadows. One method is to use a ratio of shadow s lengths with respect to heights of reference buildings measured on site. The other method uses sun elevation angles calculated from various camera s parameters at the exposure time. The estimated heights of 20 buildings are compared with heights measured on site, and the RMS errors for each method are 1.70m and 1.75m, respectively. When a resampling method to enhance identification of shadows is used and their lengths are accordingly re-calculated, the estimated errors for each method are significantly reduced to 1.17m and 1.16m, respectively. Meanwhile, effects of land slope on shadows can be hardly obtained unless detailed DTM(digital terrain model) are available, and they introduce additional errors up to 25m.