• Journal of Korea Spatial Information System Society
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• v.12 no.1
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• pp.66-75
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• 2010

The authors argues that the current road updating system based on traditional aerial photograph or multi-spectral satellite image appears to be non-user friendly due to lack of the frequent cartographic representation for the new construction sites. Google Earth are currently being emerged as one of important places to extract road features since the RGB satellite image with high multi-temporal resolution can be accessed freely over large areas. This paper is primarily intended to evaluate optimal threshold of RGB pixel values to extract road features from Google Earth. An empirical study for five experimental sites was conducted to confirm how a RGB picture provided Google Earth can be used to extact the road feature. The results indicate that optimal threshold of RGB pixel values to extract road features was identified as 126, 125, 127 for manual operation which corresponds to 25%, 30%, 19%. Also, it was found that display scale difference of Google Earth was not very influential in tracking required RGB pixel value. As a result the 61cm resolution of Quickbird RGB data has shown the potential to realistically identified the major type of road feature by large scale spatial precision while the typical algorithm revealed successfully the area-wide optimal threshold of RGB pixel for road appeared in the study area.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.2
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• pp.155-160
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• 2014

In this paper, an algorithm using RGB-depth camera is proposed to detect smoke in interrior. RGB-depth camera, the Kinect provides RGB color image and depth information. The Kinect sensor consists of an infra-red laser emitter, infra-red camera and an RGB camera. A specific pattern of speckles radiated from the laser source is projected onto the scene. This pattern is captured by the infra-red camera and is analyzed to get depth information. The distance of each speckle of the specific pattern is measured and the depth of object is estimated. As the depth of object is highly changed, the depth of object plain can not be determined by the Kinect. The depth of smoke can not be determined too because the density of smoke is changed with constant frequency and intensity of infra-red image is varied between each pixels. In this paper, a smoke detection algorithm using characteristics of the Kinect is proposed. The region that the depth information is not determined sets the candidate region of smoke. If the intensity of the candidate region of color image is larger than a threshold, the region is confirmed as smoke region. As results of simulations, it is shown that the proposed method is effective to detect smoke in interior.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.8
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• pp.309-314
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• 2014

To generate a complete 3D model from depth images of multiple RGB-D cameras, it is necessary to find 3D transformations between RGB-D cameras. This paper proposes a convenient view calibration technique using a spherical object. Conventional view calibration methods use either planar checkerboards or 3D objects with coded-pattern. In these conventional methods, detection and matching of pattern features and codes takes a significant time. In this paper, we propose a convenient view calibration method using both 3D depth and 2D texture images of a spherical object simultaneously. First, while moving the spherical object freely in the modeling space, depth and texture images of the object are acquired from all RGB-D camera simultaneously. Then, the external parameters of each RGB-D camera is calibrated so that the coordinates of the sphere center coincide in the world coordinate system.

• Journal of the Korean Graphic Arts Communication Society
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• v.25 no.2
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• pp.15-28
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• 2007

For the color offset printing, it starts with input of data. The past days, drum scanner or flat scanner used to input of data, but now it changes gradually into using of digital camera because digital camera become popular. The high quality digital camera saves as a data(RAW format), sRGB which have built in digital camera, or Adobe RGB format. sRGB of ICC(International Color Consortium) profile is a standard color gamut of digital camera. Distribution of color gamut in sRGB is less than Adobe RGB have a distribution in ICC profile. sRGB also can not be expressed in some specific part, because distribution of color gamut in sRGB is not able to cover all parts in ICC Profile of international standards CMYK. It is more popular to use Adobe RGB than sRGB to do high quality offset printing and software basis color setting in Europe and Japan. In spite of this data basis, there is a difficulty of doing color correction between the color proofing prints and the final prints. To see how the software color setting effects to RGB data, this thesis will use Gretag Macbeth ColorChecker 24 patch which has the most general natural color chart to compare sRGB and Adobe RGB to check the differences of color changes. It will use the several factors that came out from the process of making ICC Profile to figure out the optimum In-house profile. It also compares the differences of using matt paper and glossy paper to do best quality color proof offset printing, and how the Rendering Intent effects the proof print.

• Journal of Korean Ophthalmic Optics Society
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• v.17 no.4
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• pp.425-433
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• 2012

Purpose: Basic design of virtual colored overlay, film overlay, colored lenses and colored glasses for people with Scotopic Sensitivity Syndrome. Methods: I calculated sRGB and RGB values of the overlays from measured data. I evaluated the relationship between the combinational chromaticities composed of Galaxy Tab white background and film overlays and the chromaticities of pure film overlays. Results: Implementable sRGB and RGB values of the overlays is calculated. The chromaticities of film overlays are different from them with white paper background and them with Galaxy Tab's white background, but showed a certain relationship between them. Light transmittances of Intuitive Overlay are the most (59%-79%) among them and average light reflectance of Reading Ruler is least(8%). Conclusions: The sRGB values and the RGB values are directly applicable to implement assistive tools and the light transmittances are used to calculate ${\alpha}$, transparency of virtual overlay in IT devices. It is recommended to consider the chromaticity of white color in implementing virtual colored overlay in the case which the chromaticity is considerably different to theoretical chromaticity of white color.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.8
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• pp.1121-1129
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• 2022

Object recognition is carried out using RGB images in various object recognition studies. However, RGB images in dark illumination environments or environments where target objects are occluded other objects cause poor object recognition performance. On the other hand, IR images provide strong object recognition performance in these environments because it detects infrared waves rather than visible illumination. In this paper, we propose an RGB-IR fusion model, high-frequency interchange network (HINet), which improves object recognition performance by combining only the strengths of RGB-IR image pairs. HINet connected two object detection models using a mutual high-frequency transfer (MHT) to interchange advantages between RGB-IR images. MHT converts each pair of RGB-IR images into a discrete cosine transform (DCT) spectrum domain to extract high-frequency information. The extracted high-frequency information is transmitted to each other's networks and utilized to improve object recognition performance. Experimental results show the superiority of the proposed network and present performance improvement of the multispectral object recognition task.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.3
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• pp.1011-1025
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• 2014

A demosaicing method for a Bayer-like W-RGB color filter array (CFA) is proposed. When reproducing images from a W-RGB CFA, conventional color separation methods for W-RGB CFA are likely to cause blurring near the edges due to rough averaging using a color ratio of neighboring pixels. Moreover, these methods cannot be applied to real-life digital cameras with W-RGB CFA because the methods were proposed under an ideal situation, W=R+G+B, not a real-life situation, $W{\neq}R+G+B$. To improve edge performance, we propose a method of constant color difference assumption with inversed weight, which uses information from all edge directions for interpolating all missing color channels. The proposed method calculates the correlation between W, R, G, and B to enable its application to real-life digital cameras with W-RGB CFA. Simulations were performed to evaluate the proposed method using images captured from a real-life digital camera with W-RGB CFA. Simulation results shows that we can demosaic by using the proposed algorithm compared with the conventional one in about +34.79% SNR, +11.43% PSNR, +1.54% SSIM and 14.02% S-CIELAB error. Thus, the proposed method demosaics better than the conventional methods.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2001.11a
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• pp.129-132
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• 2001

LED는 오랫동안 가전제품이나 각종 기계의 표시소자로 사용되어 왔으나, 최근 LED가 고취도화 되면서 LED를 이용한 조명제품 개발이 활발하게 이루어지고 있다. 본 논문에서는 RGB LED를 이용한 LED 전구를 설계하기 위해 광학설계 프로그램 LightTools을 이용하였다. RGB LED의 비율과 배치에 따른 태양광과 비슷한 백색광을 얻기 위해 RGB LED의 비율을 R:G:B=1:1.5:3, 하여 CIE 색좌표 x:y=0.342: 0.291, 색온도 5100[K]의 값을 얻었다. RGB LED의 대칭, 원형, 간격별 배열에 따른 배치를 통하여 색좌표 x:y= 0.337: 0.297인 백색광을 얻었다. 이 같은 결론을 바탕으로 RGB LED전구를 설계하였다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.2
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• pp.8-15
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• 2004

This paper presents a method of improvement of color mixing in an RGB LED white lamp. The deviation from white light after RGB color mixing results mainly from the difference in the ray direction among LEDs. The authors propose a method using tilted lenses covered over each LED to deflect the overall direction of the ray generated from far-sited LEDs toward the center axis of the lamp. The degree of improvement is evaulated using a color discrimination method based on McAdam ellipse.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.11a
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• pp.127-130
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• 2000

HP를 비롯한 장치나 소프트웨어 관련 업체들은 인터넷에서 통용될 수 있도록 다양한 모니터들의 평균이 되는 sRGB 색공간을 제안하고 이를 기본 색공간으로 사용하고 있다. 본 연구에서는 sRGB 색공간과 XYZ 색공간 사이의 변환프로그램을 개발하여 웹 안전색으로 통용되고 있는 216가지의 디지털신호에 대해 sRGB 색공간에서 재현될 XYZ 색좌표를 예측해 보았다. 또한 실제로 두 대의 모니터에 216가지의 디지털 신호를 입력시켰을 때 재현된 색의 XYZ 색좌표를 측정하여 예측된 결과와의 차이를 비교함으로써 sRGB 색공간의 실효성을 분석하였다.