• Title/Summary/Keyword: pixel distance

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A Study of Electrical and Optical Method of Safety Standards for diagnosis of Power Facility using UV-IR Camera (UV-IR 카메라를 이용한 전력설비 진단을 위한 전기 및 광학적 안전 기준 설정 연구)

  • Kim, Young-Seok;Kim, Chong-Min;Choi, Myeong-Il;Bang, Sun-Bae;Shong, Kil-Mok;Kwag, Dong-Soon
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.27 no.4
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    • pp.54-61
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    • 2013
  • UV-IR camera is being used for predictive maintenance of high voltage equipment together with measurement of temperature on localized heat and corona discharge. This paper was suggested the judgement method that is the discharge count, UV image pattern and discharge matching rate to apply the UV-IR camera on power facility. The discharge count method is counted by UV image pixel value. the UV image pattern method is determined by the UV image shape using neural network algorithm method, separated by Sunflower, Jellyfish, Ameba. The UV discharge matching is compare the breakdown the UV image size and measuring UV image size according to distance.

Aerial Object Detection and Tracking based on Fusion of Vision and Lidar Sensors using Kalman Filter for UAV

  • Park, Cheonman;Lee, Seongbong;Kim, Hyeji;Lee, Dongjin
    • International journal of advanced smart convergence
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    • v.9 no.3
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    • pp.232-238
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    • 2020
  • In this paper, we study on aerial objects detection and position estimation algorithm for the safety of UAV that flight in BVLOS. We use the vision sensor and LiDAR to detect objects. We use YOLOv2 architecture based on CNN to detect objects on a 2D image. Additionally we use a clustering method to detect objects on point cloud data acquired from LiDAR. When a single sensor used, detection rate can be degraded in a specific situation depending on the characteristics of sensor. If the result of the detection algorithm using a single sensor is absent or false, we need to complement the detection accuracy. In order to complement the accuracy of detection algorithm based on a single sensor, we use the Kalman filter. And we fused the results of a single sensor to improve detection accuracy. We estimate the 3D position of the object using the pixel position of the object and distance measured to LiDAR. We verified the performance of proposed fusion algorithm by performing the simulation using the Gazebo simulator.

On-line Background Extraction in Video Image Using Vector Median (벡터 미디언을 이용한 비디오 영상의 온라인 배경 추출)

  • Kim, Joon-Cheol;Park, Eun-Jong;Lee, Joon-Whoan
    • The KIPS Transactions:PartB
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    • v.13B no.5 s.108
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    • pp.515-524
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    • 2006
  • Background extraction is an important technique to find the moving objects in video surveillance system. This paper proposes a new on-line background extraction method for color video using vector order statistics. In the proposed method, using the fact that background occurs more frequently than objects, the vector median of color pixels in consecutive frames Is treated as background at the position. Also, the objects of current frame are consisted of the set of pixels whose distance from background pixel is larger than threshold. In the paper, the proposed method is compared with the on-line multiple background extraction based on Gaussian mixture model(GMM) in order to evaluate the performance. As the result, its performance is similar or superior to the method based on GMM.

Study on single gap transflective fringe-fields switching liquid crystal display using the liquid crystal with negative dielectric anisotropy (유전율 이방성이 음인 액정을 이용한 FFS 모드의 단일 갭형 반투과형 액정 디스플레이 연구)

  • Kim, Jin-Ho;Chin, Mi-Hyung;Lim, Young-Jin;Lee, Seung-Hee
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2008.11a
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    • pp.312-313
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    • 2008
  • A transflective liquid crystal displays associated with fringe field switching (FFS) mode of new concept is proposed. The device utilizes unique characteristic of the FFS mode in which the rotation angle of LC director is strongly dependent on electrode position in on state. We use the liquid crystal with negative dielectric anisotropy. Also we are look for optimized electrode size and the optimization of pixel electrode width and distance between them, the LC director could rotate about $22.5^{\circ}$ and $45^{\circ}$ depending on electrode positions. Consequently, we get high transmittance and high reflection on the optimized electrode condition. Respectively, a high image quality transflective display with single gap and single gamma characteristics realized.

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Topographical Analysis of the Rubbed Surface using Fractal Dimension (프랙탈 차원을 이용한 마찰면의 형상특징 해석)

  • Park, Heung-Sik;Kim, Yeong-Hui;Jeon, Tae-Ok;Jo, Yeon-Sang;Mun, Byeong-Ju
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.11
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    • pp.1737-1742
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    • 2001
  • The fractal-based method for describing rubbed surface texture has aroused great interest. The determination of rubbed surface topography is believed to be extremely important in the areas of contact mechanics, adhesion and friction. In order to describe topography of the rubbed surface, the wear test was carried out with annular surfaces of wear testing specimens in dry friction. furthermore, the relation between the fractal dimensions and the frictional conditions are also investigated and fractal descriptors was applied to rubbed surface with image processing. Fractal dimension can be determined by sum of intensity difference of image surface pixel. Fractal dimension increased according as the applied load and sliding distance increase. Topography of the rubbed surface can be effectively obtained by fractal dimensions.

Region-Segmental Scheme in Local Normalization Process of Digital Image (디지털영상 국부정규화처리의 영역분할 구도)

  • Hwang, Jung-Won;Hwang, Jae-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.4 s.316
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    • pp.78-85
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    • 2007
  • This paper presents a segmental scheme for regions-composed images in local normalization process. The scheme is based on local statistics computed through a moving window. The normalization algorithm uses linear or nonlinear functions to transfer the pixel distribution and the homogeneous affine of regions which is corrupted by additive noise. It adjusts the mean and standard deviation for nearest-neighbor interpoint distance between current and the normalized image signals and changes the segmentation performance according to local statistics and parameter variation adaptively. The performance of newly advanced local normalization algorithm is evaluated and compared to the performance of conventional normalization methods. Experimental results are presented to show the region segmentation properties of these approaches.

A Study on the Characteristics of High Pressure DC Glow Discharge with a Narrow Gap (좁은 간격의 고압 DC 글로우 방전에서의 방전물성에 관한 연구)

  • Park, Jae-Seong;Jeong, Heui-Seob;Shin, Buhm-Jae;Whang, Ki-Woong
    • Proceedings of the KIEE Conference
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    • 1995.11a
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    • pp.435-437
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    • 1995
  • It is important to understand tile behaviours of tile high pressure DC glow discharge with a micro gap inside a pixel of the plasmas display panel. We prepared a narrow gap discharge system and have measured electron temperature and density by means of double probe methods in high pressure which was between 100torr and 200torr. And the electrode gap was 7mm. When the pressure varied from 100torr to 200torr, the negative glow was created at a distance less than 1mm from the cathode. And the length of the faraday dark space decreased from 8mm to 5mm. Hence probe measurements was mainly, performed in the region of the Faraday dark space. The dependence of electron temperature and density on the pressure and current density was same with that of the general flow discharge, i.e. as the pressure increased the electron temperature decreased and the density increased. But the spatial electron density distribution in the Faraday dark space was highly distorted because of the effect of high pressure.

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A study on automated speed enforcement system algorithm for using image processing (영상처리를 이용한 과속단속 알고리즘 연구)

  • Park, Geon-Yeong;Jeon, Min-ho;Oh, Chang-heon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.833-836
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    • 2013
  • In this paper, we proposed an intelligent surveillance system which can be determined by the overspeed of vehicle which continuously collects by video imaging device. Imaging device to capture images continuously, and filtering errors that occur as a natural, long-distance moving objects by comparing the images collected before and after the images. To measure the size of things, it proves that able to measure speed of the vehicle, depending on the amount of growing pixels using the pixel processing.

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An recognition of printed chinese character using neural network (신경망을 이용한 인쇄체 한자의 인식)

  • 이성범;오종욱;남궁재찬
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.18 no.9
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    • pp.1269-1282
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    • 1993
  • In this paper, we propose to method of recognizing printed chinese characters which combine the coventional deterministic methods and the neural networks. Firstly, we extract four directional vector of strokes from chinese characters. Secondly, we make the mesh of the center of gravity in the vector and then constitute the H x8 feature matrix using black pixel lenth from each meshs. This normalized feature matrix value offer as the input of neural network for classifying into the 14 character types. And this calssified character classify again into Busu group by the Busu recognizing neural network. Finally, we recognize each characters using the distance of similarity between input characters and reference characters. The usefulness of the proposed algorithm is evaluated by experimenting with recognizing the chinese characters.

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A Technique to Improve the Readability of Ancient Inscription by Using Optical Triangulation Measurement Principle (광삼각법 측정 원리를 이용한 금석문 가독성 향상 방법)

  • Lee, Geun-Ho;Ko, Sun-Woo;Choi, Won-Ho
    • Journal of Information Technology Services
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    • v.11 no.sup
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    • pp.103-111
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    • 2012
  • In epigraph field to study ancient scripts, alternative readability improvement technologies have been developed to replace existing rubbing method which has low resolution and causes surface pollution of heritages from the viewpoints of extraction process and used materials. Recently many methods which are based on analysis of pixel data for extracting outlines of the specific image have been developed with advancement of image processing techniques. But these methods are not applicable and the results are not satisfied in the damaged inscriptions which are weathered by wind and rain for a long time and in the narrowed one. In this paper laser scanning techniques which uses optical triangulation measurement principle are developed to minimize scanning error. The proposed techniques are consisted of 3 parts:(1) the understanding of optical triangulation measurement principle to find scanning guideline (2) determinations of points interval, scanning distance and scanning angle to guarantee scanning data quality (3) identification of valid point data area which will be used in registration process. The proposed character identification method contributed in decoding an ancient inscription on SeukBingGo in Kyungju.