• Agricultural and Biosystems Engineering
• /
• 제4권1호
• /
• pp.16-21
• /
• 2003

In the agricultural field, a machine vision system has been widely used to automate most inspection processes especially in quality grading. Though machine vision system was very effective in quantifying geometrical quality factors, it had a deficiency in quantifying color information. This study was conducted to evaluate color of beef using machine vision system. Though measuring color of a beef using machine vision system had an advantage of covering whole lean tissue area at a time compared to a colorimeter, it revealed the problem of sensitivity depending on the system components such as types of camera, lighting conditions, and so on. The effect of color balancing control of a camera was investigated and multi-layer BP neural network based color calibration process was developed. Color calibration network model was trained using reference color patches and showed the high correlation with L*a*b* coordinates of a colorimeter. The proposed calibration process showed the successful adaptability to various measurement environments such as different types of cameras and light sources. Compared results with the proposed calibration process and MLR based calibration were also presented. Color calibration network was also successfully applied to measure the color of the beef. However, it was suggested that reflectance properties of reference materials for calibration and test materials should be considered to achieve more accurate color measurement.

• 한국인쇄학회:학술대회논문집
• /
• 한국인쇄학회 2000년도 추계 학술 발표회 논문집
• /
• pp.5-10
• /
• 2000

In case of outputting the image with color printer, image is occurred color distortion by characteristics of paper, effect by overlap between neighbor dots and the mechanical characteristics if printer. Color calibration is needed to reduce this color distrotion. To color calibration, we select the color sample in printer color gamut. The accuracy of color calibration is determined by the number of sample, distribution, and calibration method. Generally, color space is selected the color sample dividing equal interval. In this case, the range of gamut of printed color patches is reduced due to the effect of inks overlap. Therefore, error is occurred when color transformation relatively. In this paper, we have the color sampling based on equi-visual perception and then reproduce the color using the Neural-Network and interpolation by LUT.

• 한국인쇄학회지
• /
• 제31권1호
• /
• pp.65-78
• /
• 2013

In gravure printing ink in printed flexible packaging considering the characteristics of the study more accurate color management options and results were as follows. When applying G7 calibration, P2P of the target GRACol G7 evaluate the delta $L^*$ and delta $F^*$, CMY and K-scale average of the results of delta $L^*$ and the highest tolerance G7 average of 1.5 and 3.0 are included in all the best. In addition, the average delta $F^*$ and super delta $F^*$, G7 tolerance by being included within the scope of color management, G7 calibration was possible. Target IT 8.7/4 CMYK, when applied to the calibration G7, Color gravure printing machine is applied to the average of the previous decreased from 12.4 to 3.6. In addition, if a digital proof is EPSON WT 7900 the average color applied to the previous reduction from 5.24 to 0.74 because of the gravure printing color proofing system was effective in the management. G7 calibration by applying the reference print profile of the Epson WT 7900-G-icc, the average was 0.74 coloration, and gravure-G-icc cases, the average color of the 3.60 per GRACol average of all the five colors below were included within the allowable range. Thus, the flexible packaging gravure printing color management of printed after applying the first G7 calibration, the results refer to the press by the profiling, and where best to take advantage of the profile creation was good.

• 터널과지하공간
• /
• 제12권1호
• /
• pp.1-9
• /
• 2002

최근 암반공학 분야에서 영상분석기법 및 상용 영상분석장비의 활용이 활발히 이루어지는 추세이다. 그러나 영상의 획득 및 분석 단계에서 발생 가능한 오차들의 문제에 대해서 많은 부분 무시되어 왔으며 관련 연구 또한 미비하였다. 객관적인 암석영상의 분석 및 신뢰도 향상을 위해서는 암석영상에 적합한 컬러보정기법의 마련이 필요하다. 이에 본 연구에서는 암석영상에 대하여 표준컬러차트를 이용한 컬러보정기법을 도입하였으며, 화강암 시료를 대상으로 획득된 영상에 대하여 컬러보정과 오차분석을 수행하였다. 그 결과 암석영상들간의 상호 비교분석이 가능하였으며 또한 영상 획득 및 분석 단계의 신뢰도 향상을 꾀할 수 있었다.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2001년도 춘계학술대회 학술발표 논문집
• /
• pp.97-100
• /
• 2001

CMAC model was proposed by Albus [6] to formulate the processing characteristics of the human cerebellum. Instead of the global weight updating scheme used in the back propagation, CMAC use the local weight updating scheme. Therefore, CMAC have the advantage of fast learning and high convergence rate. In this paper, simulate Color Calibration by CMAC in color images and design hardware by VHDL-base high-level synthesis.

• Journal of Biosystems Engineering
• /
• 제32권3호
• /
• pp.160-165
• /
• 2007

This study was conducted to evaluate beef using a color machine vision system. The machine vision system has an advantage to measure larger area than a colorimeter and also could measure other quality factors like distribution of fats. However, the machine vision measurement is affected by system components. To measure the beef color with the machine vision system, the effect of color balancing control was tested and calibration model was developed. Neural network for color calibration which learned reference color patches showed a high correlation with colorimeter in L*a*b* coordinates and had an adaptability at various measurement environments. The trained network showed a very high correlation with the colorimeter when measuring beef color.

• 한국인쇄학회:학술대회논문집
• /
• 한국인쇄학회 2000년도 추계학술발표회 논문집
• /
• pp.0.2-0
• /
• 2000

Most important step for the color matching in scanner is the color coordinate transformation from the scanner RGB space to device independent uniform color space. A variety of color calibration technologies have been developed for input device. Linear or nonlinear matrices have been conveniently applied to correct the color filter\`s mismatch with color matching function in scanners. The color matching accuracy is expected to be further improved when the nonlinear matrices are optimized into subdivided smaller color spaces than in single matrix of the entire color space. This article proposed the scanner calibration method using subspace division regression analysis and it were compared with conventional method.

• 한국인쇄학회지
• /
• 제19권1호
• /
• pp.4-16
• /
• 2001

Most important step for the color matching in scanner is the color coordinate transformation from the scanner RGB space to device independent uniform color space. A variety of color calibration technologies have been developed for input device. Linear or nonlinear matrices have been conveniently applied to correct the color filter's mismatch with color matching function in scanners. The color matching accuracy is expected to be further improved when the nonlinear matrices are optimized into subdivided smaller color spaces than in single matrix of the entire color space. This article proposed the scanner calibration method using subspace division regression analysis and it were compared with conventional method.

• 한국연초학회지
• /
• 제17권2호
• /
• pp.177-183
• /
• 1995

This study was conducted to develop the most precise NIR(near infrared spectrometric) calibration for rapid determination of chemical composition in ground samples of toasted burley tobacco using stepwise, stepup, principal component regression(PCR), partial least square(PLS) and modified partial least square(MPLS) calibration method. The number of wavelength(W) selected by stepup multiple linear regression using: second derivative spectra was as follows: total sugar(TS)-4 W, nicotine-9 W, total nitrogen(TN)-2 W, ash-8 W, total volatile base(TVB)-5 W, chlorine4 W, L of color-6 W, a of color-6 W and b of color-7 W. Comparing the calibration equations followed by each chemical components, the most precise calibration equation was MPLS for 75, a and b of color, PLS for nicotine, ash, TVB, chlorine and L of color and stepup for TN. The standard error of calibration(SEC) and standard error of performance(SEP) between result of near infrared analysis and standard laboratory analysis were 0.18, 0.40% for 75, 0.06, 0.08% for nicotine, 0.18, 0.16% for TN, 0.33, 0.46% for ash, 0.04, 0.03% for TVB, 0.08, 0.06% for chlorine, 0.54, 0.58 for L of color, 0.22, 0.22 for a of color and 0.27, 0.27 for b of color, respectively. The SEC and SEP of ash and TVB were within allowable error of standard laboratory analysis, nicotine, TN and chlorine were 1.2-2.0 times and 75 were 2.1-4.0 times larger than allowable error of standard laboratory analysis. The ratio of SEC and SEP to mean were 1.5, 1.6% for L of color, 3.7, 3.8% for a of color and 1.8, 1.8% for b of color, respectively. Key words : burley tobacco chemistry, near infrared spectroscopy.

• 한국인쇄학회지
• /
• 제20권1호
• /
• pp.79-90
• /
• 2002

Recently, the research about color matching for the input/output devices of printing process is progressing rapidly by the digitization. The calibration method of flatbed scanner widely used as an input device for prepress process is especially important for color proofing of high quality color prints. In this paper, scanner calibration method using 3-dimensional look-up table and tetrahedral interpolation was examined and analysed comparatively on the three kinds of original copies, such as photograph, dye sublimation proof and ink jet print for IT8.T/2 target.