• Title/Summary/Keyword: gray correlation

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PlV Measurement of Channel Cavity Flow with Bottom Heat surface of Constant Heat Flux (일정 열유속의 하부 가열면을 갖는 채널캐비티 내부유동의 PIV 계측)

  • 조대환;김진구
    • Journal of Advanced Marine Engineering and Technology
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    • v.21 no.4
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    • pp.437-442
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    • 1997
  • An experimental study was carried out in a channel cavity with square heat surface by visual¬ization equipment with Mach - Zehnder interferometer and laser apparatus. The image processing system consists of one commercial image board slit into a personal computer and 2-dimensional sheet light by Argon-Ion Laser with cylindrical lens and flow picture recording system. Instant simultaneous velocity vectors at whole field were measured by 2-D PIV system which adopted two¬frame grey-level cross correlation algorithm. Heat source was uniform heat flux(o.4W/cm$^2$, , O.8W/cm$^2$, 1.2W/cm$^2$). Obtained result showed various flow patterns such as kinetic energy distribution. Severe unsteady flow fluctuation within the cavity are remarkable and sheared mixing layer phenomena are also found at the region where inlet flow is collided with the counter-clockwise rotating main primary vortex. Photographs of Mach ~ Zehnder are also compared in terms of constant heat flux.

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Development of a Fruit Grader using Black/White Image Processing System(I) - Determining the Size and Coloration - (흑백영상처리장치를 이용한 과실선별기 개발에 관한 연구(I) - 크기 및 색택 판정 -)

  • Noh, S.H.;Lee, J.W.;Lee, S.H.
    • Journal of Biosystems Engineering
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    • v.17 no.4
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    • pp.354-362
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    • 1992
  • This study was intended to examine feasibility of sizing and color grading of Fuji apple with black/white image processing system, to develop a device with which the whole surface of an apple could be captured by one camera, and to develop an algorithm for a high speed sorting. The results are summarized as follows : 1. The black/white image processing system used in this study showed a maximum error of 1.3% in area measurement with a reference figure while the focusing point of camera and location of the reference figure were changed within a certain range. 2. As the result of evaluating four automatic image segmentation algorithms with apple images, Histogram Clustering Method was the best in terms of computation time and accuracy. 3. The fast algorithm for analyzing size and coloration of apple was developed. 4. The whole surface of an apple could be captured in an image frame with two mirrors installed on the both sides of the sample. The total area of the image representing the whole surface showed a correlation of 0.995 with the weight of apple. 5. The gray level when a particular band pass filter was mounted on the camera showed high correlation with 'L' and 'a' values of Hunt color scale and could represent the coloration of apple.

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Classification of Apple Coloration Using Image Processing System (영상처리(映像處理) 장치(裝置)를 이용(利用)한 사과의 색택(色澤) 판정(判定))

  • Noh, S.H.;Ryu, K.H.;Kim, S.M.
    • Journal of Biosystems Engineering
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    • v.16 no.3
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    • pp.272-280
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    • 1991
  • The aims of this study were to investigate the feasivility of analyzing a few sorting factors such as size, coloration and defect of apples with a monochrome image processing system and to find apparent properties which could be effectively used for apple sorting. The results are summarized as follows. 1. A computer program was made to analyze the projection area, coloration and defect of an apple with a monochrome image processing system. 2. The algorithm developed to compute the projedtion area of an apple was between on the proportional relation between a given reference area and the corresponding number of pixels, and the computing time was 0.74 to 0.82 second depending on the size of apple. 3. The coloration of an apple was expressed as the ratio of the gray value of a reference color to that of a given bounded area of the stem end surface (defined as coloration index), and the computing time was about 3.0 seconds with this algorithm. 4. Defect of an apple could be isolated by lowpass filtering and image subtraction but it took about 20 seconds in computing time. 5. The coloration of the Fuji apple could be classified into 3 to 4 groups by the coloration index and also, it was found that the correlation coefficient between the indices and sugar contents was 0.74. 6. The coloration index obtained from a given bounded area of the stem end side of the Fuji apple could represent the coloration of total surface with a correlation coefficient of 0.922.

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Color Image Digital Watermarking based on a Luminance-Chrominance Signal (휘도-색차 신호 기반의 컬러 영상 디지털 워터마킹)

  • Seo Jung-Hee;Lim Young-Jin;Han Eun-Young;Park Hung-Bog
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.565-568
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    • 2006
  • In the luminance and chrominance signal, luminance signal creates gray images, and is capable of making each color component compatible with monochrome system. And color components of luminance and chrominance signals are useful to encode or convert the signal because they have low correlation. Each color signal has low correlation statistically, but they are not independent of one another. Therefore, this paper proposes the watermark inserting algorithm for luminance and chrominance signal in the domain of frequency founded on wavelet, considering the interdependent characteristics of color components. Therefore, it can guarantee the robustness and invisible of digital watermark.

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The Effect of the DIC Speckle Patterns for a Microcrack Measurement (미소균열 측정에 대한 DIC 스펙클 형상의 영향)

  • Lee, Jun Hyuk;Kwon, Oh Heon
    • Journal of the Korean Society of Safety
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    • v.34 no.4
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    • pp.15-21
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    • 2019
  • In order to secure the safety of various machinery, it is very important to develop a technique for accurately and quickly measuring the cracks generated in the mechanical equipment and evaluating the mechanical characteristics. The evaluation of the mechanical properties is accompanied by an appropriate strain measurement according to the material and crack occurrence of the target structure. Especially, when micro cracks are generated, the evaluation method is very important. Digital image correlation is an optical full field displacement measuring method which is using currently with speckles in the interested area. However the evaluation method and conditions of image distributions have to be considered carefully to measure the crack occurrence because the images of the speckle patterns affect the quality of displacement results. In this study, the speckle pattern density is characterized to improve the accuracy of the measurement method. And also the micro crack initiation is detected by the measured displacement in the adopted speckle pattern distribution. It is shown that the proposed method is useful to determine the density pattern distribution for the accurate measurement and crack detection.

Quality Assessment of Fingerprint Images and Correlation with Recognition Performance (지문 영상의 품질 평가 및 인식 성능과의 상관성 분석)

  • Shin, Yong-Nyuo;Sung, Won-Je;Jung, Soon-Won
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.18 no.3
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    • pp.61-68
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    • 2008
  • In this paper, we propose a new method to assess fingerprint image quality. In the proposed method, analysis of local variance of image's gray values, local orientation, minutiae density, size and position is applied. Especially by using position information of inputted fingerprint images, partial fingerprint images are filtered and recognition performance is improved. In the experimental results, quality threshold value for improving performance can be decided by analysis of correlation between image quality and recognition rate.

Recognition of Object ID marks in FA process from Active Template Model

  • Kang, Dong-Joong;Ahn, In-Mo;Lho, Tae-Jung;An, Hyung-Keun;Yoo, Dong-Hun;Kim, Mun-Jo
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2486-2491
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    • 2003
  • This paper presents a method to segment object ID marks on poor quality images under uncontrolled lighting conditions of FA inspection process. The method is based on multiple templates and normalized gray-level correlation (NGC) method. We propose a multiple template method, called as ATM (Active Template Model) which uses combinational relation of multiple templates from model templates to match and segment several characters of the inspection images. Conventional Snakes algorithm provides a good methodology to model the functional of ATM. To increase the computation speed to segment the ID mark regions, we introduce the Dynamic Programming based algorithm. Experimental results using images from real FA environment are presented.

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Design of Subband Codecs Using Optimized Vector Quantizer

  • Jee, Innho
    • The Journal of the Acoustical Society of Korea
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    • v.15 no.2E
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    • pp.33-38
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    • 1996
  • This paper provides an approach for representing an optimum vector quantizer by a scalar nonlinear gain-plus-additive noise model. The validity and accuracy of this analytic model is confirmed by comparing the calcuated model quantization errors with actual simulation of the optimum Linde-Buzo-Gray(LBG) vector quantizer. Using this model we frm MSE measure of an M-band filter bank codec in terms of the equivalent scalar quantizatin model and find the optimum FIR filter coefficients for each channel in the M-band structure for a given bit rate, given filter length, and given input signal correlation model. Specific design examples are worked out for 4-tap filters in the two-band paraunitary case. These theoretical results are confirmed by extensive Monte Carlo simulation.

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A Study on Natural Convection Flows Using Particle Image Analysis (입자영상해석에 의한 자연대류 유동에 관한 연구)

  • Bae, D.S.;Kim, N.S.;Cho, W.H.
    • Journal of Power System Engineering
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    • v.4 no.2
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    • pp.11-16
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    • 2000
  • Simultaneous quantitative measurements are made of the velocity fields for two-dimensional natural convection in a rectangular enclosure using PIV(Particle Image Velocimetry). The experiments are performed at a Prandtl number of 6.62, an aspect ratio of 1.0, Rayleigh numbers from $1.294{\times}10^6\;to\;3.8841{\times}10^6$, and angles of inclination of $0^{\circ},\;30^{\circ}\;and\;60^{\circ}$ inside a $30mm{\times}30mm{\times}8mm$ cavity made of an acrylic glass 10mm, with two isothermal copper walls kept at a prescribed temperature. The experimental results agreed very well with the numerical results. It was found that the flow consisted of a large double convection cell at angle of inclination of $60^{\circ}$.

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Fuzzy Neural Network-Based Noisiness Decision of Road Scene for Lane Detection (퍼지신경망을 이용한 도로 씬의 차선정보의 잡음도 판별)

  • Yi, Un-Kun;Baek, Kwang-Ryul;Kwon, Seok-Geon;Lee, Joon-Woong
    • Proceedings of the KIEE Conference
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    • 2000.11d
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    • pp.761-764
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    • 2000
  • This paper presents a Fuzzy Neural Network (FNN) system to decide whether or not the right information of lanes can be extracted from gray-level images of road scene. The decision of noisy level of input images has been required because much noises usually deteriorates the performance of feature detection based on image processing and lead to erroneous results. As input parameters to FNN, eight noisiness indexes are constructed from a cumulative distribution function (CDF) and proved the indexes being classifiers of images as the good and the bad corrupted by sources of noise by correlation analysis between input images and the indexes. Considering real-time processing and discrimination efficiency, the proposed FNN is structured by eight input parameters, three fuzzy variables and single output. We conduct much experiments and show that our system has comparable performance in terms of false-positive rates.

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