• IEMEK Journal of Embedded Systems and Applications
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• v.8 no.4
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• pp.227-233
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• 2013

In this paper, we propose an implementation of pH reader on Android smart phone by using Eclipse and SDK. After taking a picture of pH spectrum and tested litmus paper at the same time, we save the picture. From the picture, reference values in RGB and YUB of all pH color in the spectrum are obtained and then those of a chosen point by user in the litmus paper are to be compared with. The distances between the reference colors and the litmus paper's color are measured by Euclidean distance in RGB or YUB coordinate. The nearest two pH values are taken to find the weighted average of the result. Series of test show the proposed scheme is feasible and has performance within 10% error.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.3
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• pp.422-428
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• 2008

In this paper, we propose the robust object detection algorithm with spatial gradient information. To do this, first, we eliminate error values that appear due to complex environment and various illumination change by using prior methods based on hue and intensity from the input video and background. Visible shadows are eliminated from the foreground by using an RGB color model and a qualified RGB color model. And unnecessary values are eliminated by using the HSI color model. The background is removed completely from the foreground leaving a silhouette to be restored using spatial gradient and HSI color model. Finally, we validate the applicability of the proposed method using various indoor and outdoor conditions in a complex environments.

• The Journal of Korea Robotics Society
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• v.18 no.3
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• pp.293-298
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• 2023

The military is facing a continuous decrease in personnel, and in order to cope with potential accidents and challenges in operations, efforts are being made to reduce the direct involvement of personnel by utilizing the latest technologies. Recently, the use of various sensors related to Manned-Unmanned Teaming and artificial intelligence technologies has gained attention, emphasizing the need for flexible utilization methods. In this paper, we propose four dataset construction methods that can be used for effective training of robots that can be deployed in military operations, utilizing not only RGB image data but also data acquired from IR image sensors. Since there is no publicly available dataset that combines RGB and IR image data, we directly acquired the dataset within buildings. The input values were constructed by combining RGB and IR image sensor data, taking into account the field of view, resolution, and channel values of both sensors. We compared the proposed method with conventional RGB image data classification training using the same learning model. By employing the proposed image data fusion method, we observed improved stability in training loss and approximately 3% higher accuracy.

• Journal of the Korean Academy of Clinical Electrophysiology
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• v.8 no.2
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• pp.39-43
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• 2010

Purpose : The purpose of this study was to analyze skin reactions induced by ultraviolet irradiation using digital imagery. Methods : We recruited 15 women and ultraviolet irradiation was applied to their lumbar area. (The degree of inflammatory reaction was set on the basis of the third erythema dose. Image analysis was divided by Photoshop CS (8 bit RGB scale and gray scale). Then, images were processes using Image Pro Plus 4.5 program analyzing R, G, B, chromatic red value, luminance value and gray value. Results : As a result of analyzing changes in RGB scale, there were statistically significant differences in R, G, and chromatic red values. As a result of analyzing changes in gray scale, there were statistically significant differences in gray value. Analysis of changes in B and luminance values showed that there was no statistically significant difference. Conclusion : This study found that ultraviolet irradiation had influence on RGB and gray scale. These results suggest that changes to digital images on skin reaction by ultraviolet irradiation are related to erythema. In particular, these changes are related to R and gray values.

• Korean Journal of Optics and Photonics
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• v.30 no.3
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• pp.101-105
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• 2019

An LCD backlight unit (BLU) using RGB light sources is designed and simulated, in order to improve its optical energy efficiency. A color-matching BLU is designed with a lenticular lens array (LLA) with elements that image the linear RGB light sources onto the RGB subpixels of the color filter. Type-A and Type-B simulations are performed, according to the location of the light sources. As a result, the luminance increases to 210% in Type-A and 270% in Type-B respectively. The optimum values for the height and the gap of the LLA for maximum efficiency are found to be $25{\mu}m$ and $3{\mu}m$ respectively.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.93-99
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• 2021

Recently, the miniaturization and digitalization for the inspection devices of point-of-care testing (POCT) are rapidly evolving. In the urine test, a lot of researches on index paper technology are being conducted because people can be self-diagnosed through visual color comparison using a urine test paper, Dipsick. The purpose of this study is to analyze the RGB values from the color changes on Dipstick Pad, which isused for urine test, using a smartphone camera. To this end, the primary, analytes in urine wasdiabetes-related parameters such as glucose, ketone body and pH, which is the most frequently tested elements, and we pursuited to quantify the changes in dipstick color caused from artificial urine containing different ranges of sugar, ketone body, and pH. In this experiment, changes in RGB values under bright and dark illuminances were compared, and changes in RGB value were monitored as a function of concentration of analytes under the ambient illumination of laboratory. As a result, color separation at the bright luminance region was good, but it did not appearat the low luminance region, and the changed profiles in RGB value under different illuminances was suggested to correct the problem of the color separation algorithm.

• Journal of Korea Multimedia Society
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• v.20 no.4
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• pp.629-639
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• 2017

Interpolation based information hiding methods are widely used to get information security. Conventional interpolation methods use the neighboring pixel value and simple calculation like average to embed secret bit stream into the image. But these information hiding methods are not appropriate to color images like military images because the characteristics of military images are not considered and these methods are restricted in grayscale images. In this paper, the new information hiding method based on interpolation using RGB pixel values of color image is proposed and the effectiveness is analyzed through experiments.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.419-420
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• 2020

본 논문에서는 불법복제 영상 판단을 위한 RGB 변위값 측정을 통한 360도 영상 식별 기준 키 프레임 선정 방법을 제안한다. 방송 프로그램이나 영화 등과 같은 콘텐츠는 인터넷들을 통하여 국내뿐만 아니라 해외로도 대량 불법 유통됨으로써 국가적으로 큰 손실이 발생하고 있다. 본 논문에서는 이러한 불법복제 여부를 빠른 속도로 판단하기 위한 방법으로 360도 영상에서 추출된 각각의 프레임에서 RGB 변위값을 측정하여 동일한 장면으로 인식되는 프레임을 하나로 묶어 해당 장면의 키 프레임으로 선정한다. 본 논문에서 제안한 방법은 불법복제 영상의 판단 시간을 단축시키고 판단 정확도를 향상시킬 수 있는 효과가 있다.

• Advanced Industrial SCIence
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• v.2 no.3
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• pp.29-36
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• 2023

The purpose of this study is to present basic data for hair color work plans that can consistently produce hair color design products for designers through analysis of gradient techniques among hair color design techniques. The research method was to select 10 photos of women that appeared in mass media from 2022 to September 15, 2023, extract color chips and RGB values using the Eyedropper Tool in Adobe Photoshop CS6, and convert the RGB values of the color chips into Munsell Conversion ( The data was converted into HV/C values of version 12.1.13a). Based on the extracted data, the gradient hair colors of female pop stars were analyzed by displaying the data on a color scale. As a result, in the I.R.I color scheme image scale, the image of female pop stars was more hard than soft. In addition, it was confirmed that the focus was on static rather than dynamic. Color matching images according to hair color were extracted with adjectives such as noble, decent, elegant, and subtle. Three hairstyles were created using this theme.

• Journal of Broadcast Engineering
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• v.25 no.5
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• pp.808-811
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• 2020

This paper proposes a method to minimize the error of the Kinect camera sensor by using a random undirected Kalman filter. Kinect cameras, which provide RGB values and depth information, cause nonlinear errors in the sensor, causing problems in various applications such as skeleton detection. Conventional methods have tried to remove errors by using various filtering techniques. However, there is a limit to removing nonlinear noise effectively. Therefore, in this paper, a randomized unscented Kalman filter was applied to predict and update the nonlinear noise characteristics, we next tried to enhance a performance of skeleton detection. The experimental results confirmed that the proposed method is superior to the conventional method in quantitative results and reconstructed images on 3D space.