• Title/Summary/Keyword: scan line

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Real-Time Image Processing System for PDP Pattern Inspection with Line Scan Camera (PDP 패턴검사를 위한 실시간 영상처리시스템 개발)

  • Cho Seog-Bin;Baek Gyeoung-Hun;Yi Un-Kun;Nam Ki-Gon;Baek Kwang-Ryul
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.42 no.3 s.303
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    • pp.17-24
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    • 2005
  • Various defects are found in PDP manufacturing process. Detecting these defects early and reprocessing them is an important factor that reduces the cost of production. In this paper, the image processing system for the PDP pattern inspection is designed and implemented using the high performance and accuracy CCD line scan camera. For the preprocessing of the high speed line image data, the Image Processing Part (IPP) is designed and implemented using high performance DSP, FIFO and FPGA. Also, the Data Management and System Control Part (DMSCP) are implemented using ARM processor to control many IPP and cameras and to provide remote users with processed data. For evaluating implemented system, experiment environment which has an area camera for reviewing and moving shelf is made. Experimental results showed that proposed system was quite successful.

A New True Ortho-photo Generation Algorithm for High Resolution Satellite Imagery

  • Bang, Ki-In;Kim, Chang-Jae
    • Korean Journal of Remote Sensing
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    • v.26 no.3
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    • pp.347-359
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    • 2010
  • Ortho-photos provide valuable spatial and spectral information for various Geographic Information System (GIS) and mapping applications. The absence of relief displacement and the uniform scale in ortho-photos enable interested users to measure distances, compute areas, derive geographic locations, and quantify changes. Differential rectification has traditionally been used for ortho-photo generation. However, differential rectification produces serious problems (in the form of ghost images) when dealing with large scale imagery over urban areas. To avoid these artifacts, true ortho-photo generation techniques have been devised to remove ghost images through visibility analysis and occlusion detection. So far, the Z-buffer method has been one of the most popular methods for true ortho-photo generation. However, it is quite sensitive to the relationship between the cell size of the Digital Surface Model (DSM) and the Ground Sampling Distance (GSD) of the imaging sensor. Another critical issue of true ortho-photo generation using high resolution satellite imagery is the scan line search. In other words, the perspective center corresponding to each ground point should be identified since we are dealing with a line camera. This paper introduces alternative methodology for true ortho-photo generation that circumvents the drawbacks of the Z-buffer technique and the existing scan line search methods. The experiments using real data are carried out while comparing the performance of the proposed and the existing methods through qualitative and quantitative evaluations and computational efficiency. The experimental analysis proved that the proposed method provided the best success ratio of the occlusion detection and had reasonable processing time compared to all other true ortho-photo generation methods tested in this paper.

Determination of Bar Code Cross-line Based on Block HOG Clustering (블록 HOG 군집화 기반의 1-D 바코드 크로스라인 결정)

  • Kim, Dong Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.7
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    • pp.996-1003
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    • 2022
  • In this paper, we present a new method for determining the scan line and range for vision-based 1-D barcode recognition. This is a study on how to detect valid barcode representative points and directions by applying the DBSCAN clustering method based on block HOG (histogram of gradient) and determine scan lines and barcode crosslines based on this. In this paper, the minimum and maximum search techniques were applied to determine the cross-line range of barcodes based on the obtained scan lines. This can be applied regardless of the barcode size. This technique enables barcode recognition even by detecting only a partial area of the barcode, and does not require rotation to read the code after detecting the barcode area. In addition, it is possible to detect barcodes of various sizes. Various experimental results are presented to evaluate the performance of the proposed technique in this paper.

Fast Spectral Inversion of the Strong Absorption Lines in the Solar Chromosphere Based on a Deep Learning Model

  • Lee, Kyoung-Sun;Chae, Jongchul;Park, Eunsu;Moon, Yong-Jae;Kwak, Hannah;Cho, Kyuhyun
    • The Bulletin of The Korean Astronomical Society
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    • v.46 no.2
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    • pp.46.3-47
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    • 2021
  • Recently a multilayer spectral inversion (MLSI) model has been proposed to infer the physical parameters of plasmas in the solar chromosphere. The inversion solves a three-layer radiative transfer model using the strong absorption line profiles, H alpha and Ca II 8542 Å, taken by the Fast Imaging Solar Spectrograph (FISS). The model successfully provides the physical plasma parameters, such as source functions, Doppler velocities, and Doppler widths in the layers of the photosphere to the chromosphere. However, it is quite expensive to apply the MLSI to a huge number of line profiles. For example, the calculating time is an hour to several hours depending on the size of the scan raster. We apply deep neural network (DNN) to the inversion code to reduce the cost of calculating the physical parameters. We train the models using pairs of absorption line profiles from FISS and their 13 physical parameters (source functions, Doppler velocities, Doppler widths in the chromosphere, and the pre-determined parameters for the photosphere) calculated from the spectral inversion code for 49 scan rasters (~2,000,000 dataset) including quiet and active regions. We use fully connected dense layers for training the model. In addition, we utilize a skip connection to avoid a problem of vanishing gradients. We evaluate the model by comparing the pairs of absorption line profiles and their inverted physical parameters from other quiet and active regions. Our result shows that the deep learning model successfully reproduces physical parameter maps of a scan raster observation per second within 15% of mean absolute percentage error and the mean squared error of 0.3 to 0.003 depending on the parameters. Taking this advantage of high performance of the deep learning model, we plan to provide the physical parameter maps from the FISS observations to understand the chromospheric plasma conditions in various solar features.

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Development of Defect Inspection System for PDP ITO Patterned Glass (PDP ITO 패턴유리의 결함 검사시스템 개발)

  • Song Jun Yeob;Park Hwa Young;Kim Hyun Jong;Jung Yeon Wook
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.12
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    • pp.92-99
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    • 2004
  • The formation degree of sustain (ITO pattern) decides quality of PDP (Plasma Display Panel). For this reason, it makes efforts in searching defects more than 30 un as 100%. Now, the existing inspection is dependent upon naked eye or microscope in off-line PDP manufacturing process. In this study developed prototype inspection system of PDP 170 glass is based on line-scan mechanism. Developed system creates information that detects and sorts kinds of defect automatically. Designed inspection technology adopts multi-vision method by slip-beam formation for the minimum of inspection time and detection algorithm is embodied in detection ability of developed system. Designed algorithm had to make good use of kernel matrix that draws up an approach to geometry. A characteristic of defects, as pin hole, substance, protrusion, are extracted from blob analysis method. Defects, as open, short, spots and et al, are distinguished by line type inspection algorithm. In experiment, we could have ensured ability of inspection that can be detected with reliability of up to 95% in about 60 seconds.

Development of Defect Inspection System for PDP ITO Patterned Glass

  • Song Jun-Yeob;Park Hwa-Young;Kim Hyun-Jong;Jung Yeon-Wook
    • International Journal of Precision Engineering and Manufacturing
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    • v.7 no.3
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    • pp.18-23
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    • 2006
  • The formation degree of sustain (ITO pattern) determines the quality of a PDP (Plasma Display Panel). Thus, in the present study, we attempt to detect 100% of the defects that are larger than $30{\mu}m$. Currently, the inspection method in the PDP manufacturing process is dependent upon the naked eye or a microscope in off-line mode. In this study, a prototype inspection system for PDP ITO patterned glass is developed. The developed system, which is based on a line-scan mechanism, obtains information on the defects and sorts the defects by type automatically. The developed inspection system adopts a multi-vision method using slit-beam formation for minimum inspection time and the detection algorithm is embodied in the detection ability. Characteristic defects such as pin holes, substances, and protrusions are extracted using the blob analysis method. Defects such as open, short, spots and others are distinguished by the line type inspection algorithm. It was experimentally verified that the developed inspection system can detect defects with reliability of up to 95% in about 60 seconds for the 42-inch PDP panel.

A study on the real time obstacle recognition by scanned line image (스캔라인 연속영상을 이용한 실시간 장애물 인식에 관한 연구)

  • Cheung, Sheung-Youb;Oh, Jun-Ho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.21 no.10
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    • pp.1551-1560
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    • 1997
  • This study is devoted to the detection of the 3-dimensional point obstacles on the plane by using accumulated scan line images. The proposed accumulating only one scan line allow to process image at real time. And the change of motion of the feature in image is small because of the short time between image frames, so it does not take much time to track features. To obtain recursive optimal obstacles position and robot motion along to the motion of camera, Kalman filter algorithm is used. After using Kalman filter in case of the fixed environment, 3-dimensional obstacles point map is obtained. The position and motion of moving obstacles can also be obtained by pre-segmentation. Finally, to solve the stereo ambiguity problem from multiple matches, the camera motion is actively used to discard mis-matched features. To get relative distance of obstacles from camera, parallel stereo camera setup is used. In order to evaluate the proposed algorithm, experiments are carried out by a small test vehicle.

A Study on Inspection Technology of PDP ITO Defect (PDP ITO 결함 검출기술에 관한 연구)

  • 송준엽;박화영;정연욱;김현종
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.191-195
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    • 2003
  • The formation degree of sustain (ITO pattern) decides quality of PDP (plasma display panel). For this reason. it makes efforts in search defects more than 30 ${\mu}{\textrm}{m}$. Now, the existing inspection process is dependent upon naked eye or SEM equipment in off-line PDP manufacturing process. In this study developed prototype inspection system of PDP ITO glass. This system creates information that detects and sorts kind of defect automatically. Design ed inspection technology adopts line-scan method by slip-beam formation for the minimum of inspection time and image processing algorithm is embodied in detection ability of developed system. Designed algorithm had to make good use of kernel matrix which draws up an approach to geometry. A characteristic of area-shaped defects, as pin hole, substance, protrusion et al, are extracted from blob analysis method. Defects, as open, short, spots, et al, are distinguished by line type inspection algorithm. In experiment results, we could have ensured ability of inspection that can be detected with reliability of up to 95% in about 60 seconds

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MR Line Scan Angiography using Spectral Analysis

  • Jung, Kwan-Jin;Ro, Yong-Man;Sim, Bog-Tae;Ra, Jong-Beom;Cho, Zang-Hee
    • Proceedings of the KOSOMBE Conference
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    • v.1989 no.05
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    • pp.27-28
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    • 1989
  • In conventional line scan angiography, flow signal has been enhanced by the time_of_flight effect while the signal from stationary tissues has been suppressed by the saturation rf pulse followed by spoiling gradients. Due to the inhomogeneous rf field and the tissue dependent T1 relaxation time, however, stationary tissues can not be suppressed completely or uniformly, and the remnant stationary signal deteriorates the resultant angiogram. Here, the complete cancellation of stationary tissues is made possible by the spectral analysis of a series of repetitive line images of the same slice. The Fourier transformation of a set of line images results in the spectrum images, where stationary tissues are collected into the dc component while arteries are included in harmonic components because of the variation of the flow velocity and the resultant flow signal in arteries according to the cardiac cycle. The summation of harmonic components excluding the dc component results in the angiogram of arteries with the complete cancellation of stationary tissues.

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A Study on the Arithmetic Coding for Applications to Fax Machines (산술부호화 방식의 FAX 응용을 위한 연구)

  • 조석팔;진용옥
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.16 no.12
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    • pp.1382-1397
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    • 1991
  • The QM-Coder based on the recommandation of the JBIG committee has been studied for applying it to G3 FAX. In the point of view of implementation. the QM-Coder is modified to have following properties : 1) initialized at each start of the new line for protecting the error propagation, 2) pixel context for error estimation, fill bit insertion to meet minimum scan line time of 10 msec. and it is found that the modified QM-Coder is useful for encoding half tone images for low end G3 FAX machine, For higher compression ration than QM-Coder in encoding of the image binarized by ordered orther thchniques, a rearranging process before applying the QM-Coder is used and the resultant compression ratic was increased 1.13∼1.31 times than that of the conventional QM-Coder.

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