• Journal of Korea Multimedia Society
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• v.11 no.5
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• pp.610-622
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• 2008

Moving object segmentation is an essential technique for various video surveillance applications. The result of moving object segmentation often contains shadow regions caused by the color difference of shadow pixels. Hence, moving object segmentation is usually followed by a shadow elimination process to remove the false detection results. The common assumption adopted in previous works is that, under the illumination variation, the value of chromaticity components are preserved while the value of intensity component is changed. Hence, color transforms which separates luminance component and chromaticity component are usually utilized to remove shadow pixels. In this paper, various color spaces (YCbCr, HSI, normalized rgb, Yxy, Lab, c1c2c3) are examined to find the most appropriate color space for shadow elimination. So far, there have been some research efforts to compare the influence of various color spaces for shadow elimination. However, previous efforts are somewhat insufficient to compare the color distortions under illumination change in diverse color spaces, since they used a specific shadow elimination scheme or different thresholds for different color spaces. In this paper, to relieve the limitations of previous works, (1) the amount of gradients in shadow boundaries drawn to uniform colored regions are examined only for chromaticity components to compare the color distortion under illumination change and (2) the accuracy of background subtraction are analyzed via RoC curves to compare different color spaces without the problem of threshold level selection. Through experiments on real video sequences, YCbCr and normalized rgb color spaces showed good results for shadow elimination among various color spaces used for the experiments.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.5
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• pp.579-586
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• 2015

In this paper, we design and implement a lighting system which has a capability of adjusting brightness and colors of LED module. The lighting systems is consisted of RGB and white LEDs controlled by a micro-processor. All colors in nature can be synthesized in our lighting system by controlling brightness of 4 color LEDs individually. The current flowing to LED is limited to a maximum set value to extend the LED life time using PWM current control. The control module also includes the function that it can save and load brightness and color data set by the user. The implemented lighting system passed the electromagnetic compatibility(EMC) test such that it can be used as a commercial product.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.4
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• pp.40-48
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• 2012

This paper models the hue shift phenomenon and proposes a hue correction method to give perceptual matching between projector with and without additional white channel. To quantify the hue shift phenomenon for whole hue angle, 24 color patches with the same lightness are frist created along equally-spaced hue angle, and these are displayed one by one both displays with different luminance levels. Next, each hue value of the patches appeared on the projector with additional white channel is adjusted by observers until the hue values of patches on both displays appear the same visually. After obtaining the hue shift values from the color matching experiment, these values are piecewise fit into six polynomial functions, which approximately determine shifted hue amounts for an arbitrary hue values of each pixel in projector with additional white channel and are utilized to correct them. Actually, an input RGB image is converted to CIELAB LCH color space to get hue values of each pixel and this hue value is shifted as much as the amount calculated by the functions of hue shift model for correction. Finally, corrected image is inversely converted to an output RGB image. For an evaluation, the matching experiment with several test images and the z-score comparisons were performed.

• Proceedings of the KAIS Fall Conference
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• 2002.05a
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• pp.190-193
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• 2002

SiO₂, ZrO₂를 사용하여 안경 렌즈의 5충 코팅을 설계하였다. 제5층의 두께를 변화시킨 후 반사율을 계산하고, RGB의 반사율을 이용하여 반사된 빛의 색상을 시각화하였다. 이 논문에서는 제5충의 두께가 두꺼워지면서 반사광의 색상이 붉은 색상에서 푸른 색상으로 이동하였다. 색상의 분석은 Photosop5.0을 이용하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.731-734
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• 2009

In this paper, we propose the method the vehicle color recognizing in the image including a vehicle. In an image, the color feature vector of a vehicle is extracted and by using the backpropagation learning algorithm, that is the multi-layer perceptron, the recognized vehicle color. By using the RGB and HSI color model the feature vector used as the input of the backpropagation learning algorithm is the feature of the color used as the input of the neural network. The color of a vehicle recognizes as the white, the silver color, the black, the red, the yellow, the blue, and the green among the color of the vehicle most very much found out as 7 colors. By using the image including a vehicle for the performance evaluation of the method proposing, the color recognition performance was experimented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.3 no.2
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• pp.84-88
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• 2002

We designed 5 layer coating in using $SiO_2$and $ZrO_2$. We calculated reflectance with changing the thickness of 5th layer and visualized color of reflected light in using reflectance of RGB. by the result, when thickness is increase from 5 nm to 80 nm, red color of reflected light is decreased and increase from 80 nm to 150 nm, blue color of reflected light is increased. we maked use of Photoshop 5.0 to analyze colors.

• Journal of the Korean Society for Nondestructive Testing
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• v.27 no.5
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• pp.432-441
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• 2007

Image processing methods for an extraction of a nuclear fuel rod image and visualization methods of the RGB color data were studied with a sectional image of spent fuel assembly. The fuel rod images could be extracted by using a histogram analysis, an edge detection and RGB rotor data. In these results, a size of the spent fuel assembly could be measured by using a histogram analysis method and a shape of the spent fuel rod could be observed by using an edge detection method. Finally, a various analyses were established for status of the spent fuel assembly by realized various 3D images for the color data in an image of a spent fuel assembly.

• Journal of Broadcast Engineering
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• v.15 no.6
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• pp.757-767
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• 2010

In this paper, we have studied the color compensation method for 3D that enables 3D color presentation similar to 2D. The color compensation method uses the difference of color presentation in 2D and 3D mode. First, the RGB I/O relationship curve was derived in 2D and 3D mode based on the input RGB color bar images. The relationship was modeled in modified power-law forms. Based on the modeling information, we generated color mapping tables, which can be used for compensating the difference of colors. The proposed color mapping block can be added at the output block of a 3DTV system, where the 2D content can be bypassed but the 3D content RGB data can be processed using the color mapping table. The experimental results show that the proposed method improves color presentation of a 3DTV system using a proper color compensation based on 2D presentation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.8
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• pp.1653-1662
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• 2012

Recently, Organic Light Emitting Diode (OLED) that is broadly applied as next generation display has various advantages. However, OLED display causes unbalanced color tone due to the difference of luminance efficiency among luminous elements. In this paper, we propose adaptive color shifter (ACS) to resolve the RGB channel unbalance and to have wide color range of a relatively weak channel using the image processing method. proposed ACS system was simulated using a variety of image. Also, we numerically analyzed using hue histogram, CIE-1931 xyz color space.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.201-207
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• 2022

In this paper, the relationship between RGB, HSV, La^*b^* colors and sugar content was analyzed using linear regression on apples harvested in the same region. First, as a result of examining the correlation coefficient with sugar content according to each color level, it was found that the (+) region having a positive coefficient and a (-) region having a negative coefficient were separated according to the color level. Also, the correlation coefficient between color and sugar content, represented by the average value, was 0.342 in the La^*b^* color space, which was higher than the coefficient in the RGB and hsv space. That is, this means that the sugar content is related to the color in the La^*b^* space. Also, in the complex color composed of regions with high sugar content, it was found to be R²=0.3627, indicating that it is related to sugar content. In all nine color spaces, it was found to be R²=0.3668. In this case, it was found that the coefficients of v and b^* had an effect on the sugar content. Due to this, it was possible to confirm the validity of the empirical prediction that the higher the b^* representing yellow, the higher the sugar content.