• Title/Summary/Keyword: RGB Color model

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Performance Analysis of 3D Color Picker in Virtual Reality (가상현실 3차원 색상 선택기의 성능 분석)

  • Kim, Jieun;Lee, Jieun
    • Journal of the Korea Computer Graphics Society
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    • v.27 no.2
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    • pp.1-11
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    • 2021
  • In a virtual environment, a 3D workspace and 3D interaction are possible, but most virtual reality applications use a 2D color picker. This paper implements a 3D color picker based on 3D color space in a virtual environment, and compares color selection performance with the existing 2D color picker. The 3D color picker is intuitive by using the 3D color space as it is, and it can position the 3D pointer at a specific point in the color space using a controller, which is a virtual reality device, so a user can select a color in one step. On the other hand, the 2D color picker has the advantage of being familiar with existing users who work with colors in a computer environment, but has a disadvantage that requires several steps of user interaction since it has to set color properties through 2D interfaces. Based on user experiments, we confirmed the usefulness of a 3D color picker in addition to a 2D color picker in a virtual environment, and it was possible to perform natural 3D work in a virtual environment using the 3D color picker.

Assessment of Fire-Damaged Mortar using Color image Analysis (색도 이미지 분석을 이용한 화재 피해 모르타르의 손상 평가)

  • Park, Kwang-Min;Lee, Byung-Do;Yoo, Sung-Hun;Ham, Nam-Hyuk;Roh, Young-Sook
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.23 no.3
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    • pp.83-91
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    • 2019
  • The purpose of this study is to assess a fire-damaged concrete structure using a digital camera and image processing software. To simulate it, mortar and paste samples of W/C=0.5(general strength) and 0.3(high strength) were put into an electric furnace and simulated from $100^{\circ}C$ to $1000^{\circ}C$. Here, the paste was processed into a powder to measure CIELAB chromaticity, and the samples were taken with a digital camera. The RGB chromaticity was measured by color intensity analyzer software. As a result, the residual compressive strength of W/C=0.5 and 0.3 was 87.2 % and 86.7 % at the heating temperature of $400^{\circ}C$. However there was a sudden decrease in strength at the temperature above $500^{\circ}C$, while the residual compressive strength of W/C=0.5 and 0.3 was 55.2 % and 51.9 % of residual strength. At the temperature $700^{\circ}C$ or higher, W/C=0.5 and W/C=0.3 show 26.3% and 27.8% of residual strength, so that the durability of the structure could not be secured. The results of $L^*a^*b$ color analysis show that $b^*$ increases rapidly after $700^{\circ}C$. It is analyzed that the intensity of yellow becomes strong after $700^{\circ}C$. Further, the RGB analysis found that the histogram kurtosis and frequency of Red and Green increases after $700^{\circ}C$. It is analyzed that number of Red and Green pixels are increased. Therefore, it is deemed possible to estimate the degree of damage by checking the change in yellow($b^*$ or R+G) when analyzing the chromaticity of the fire-damaged concrete structures.

Car Identification Using Comparing Car Size (크기 비교를 통한 차량 식별)

  • Shin, Kwang-Seong;Shin, Seong-Yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.488-489
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    • 2019
  • We propose a method to identify vehicle type by the formula of distance between feature points of vehicle and proportional rate of size. Car images are converted from the basic RGB model to the gray color model. Perform Canny Edge Direction to remove the background image of the car. The desired feature points are obtained through contour extraction.

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A Study on the Color Characteristics of Japanese Ethnic Look in Contemporary Fashion (현대 패션에 나타난 일본풍 에스닉 룩의 색채 특성 -2004년 S/S부터 2008년 F/W까지-)

  • Kim, Ji-Young;Kim, Ji-Eon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.32 no.11
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    • pp.1750-1759
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    • 2008
  • The purpose of this study was to comparatively analyze the color characteristics of the Japanese ethnic look advanced by Japanese and western designers in comparison with the actual traditional colors of Japan. The data determining the traditional colors of Japan was collected through a critical apparatus examination of 250 colors and the color data of what determines Japanese ethnic look was collected through an analysis of the clothing appearing in four fashion collections -Paris, Milan, London, and New York- from the 2004 S/S collections to the 2008 F/W collections. For the analysis of these colors, Photoshop was used with an RGB value measuring under 300dpi resolutions. The RGB values were then converted to H V/C values through Munsell Conversion 8.0.3, and they were analyzed using Munsell's 40 Hue and PCCS. The results of this study are as follows: Japanese designers are expressing their own aesthetic theory by designing fashions in traditionally Japanese hues. However, neutral colors and low-chroma tones appear more often than traditional colors. This study illustrates how these designers use color to reflect their inside ideals being oversensitive traditonal ideals. In contrast, western designers reflect more contemporary trends through the use of hues that more clearly reveal their preconception of the colors of the Orient rather than actual traditional Japanese colors. Moreover, these foreign designers tend to approach fashion design by the means of shape rather than color. Japanese designers systematically analyze and apply their own culture to contemporary fashion design. Their efforts serve as a good reference model for research on traditional culture and fashion design.

Object-based Image Classification by Integrating Multiple Classes in Hue Channel Images (Hue 채널 영상의 다중 클래스 결합을 이용한 객체 기반 영상 분류)

  • Ye, Chul-Soo
    • Korean Journal of Remote Sensing
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    • v.37 no.6_3
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    • pp.2011-2025
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    • 2021
  • In high-resolution satellite image classification, when the color values of pixels belonging to one class are different, such as buildings with various colors, it is difficult to determine the color information representing the class. In this paper, to solve the problem of determining the representative color information of a class, we propose a method to divide the color channel of HSV (Hue Saturation Value) and perform object-based classification. To this end, after transforming the input image of the RGB color space into the components of the HSV color space, the Hue component is divided into subchannels at regular intervals. The minimum distance-based image classification is performed for each hue subchannel, and the classification result is combined with the image segmentation result. As a result of applying the proposed method to KOMPSAT-3A imagery, the overall accuracy was 84.97% and the kappa coefficient was 77.56%, and the classification accuracy was improved by more than 10% compared to a commercial software.

The YIQ Model of Computed Tomography Color Image Variable Block with Fractal Image Coding (전산화단층촬영 칼라영상의 YIQ모델을 가변블록 이용한 프랙탈 영상 부호화)

  • Park, Jae-Hong;Park, Cheol-Woo
    • Journal of the Korean Society of Radiology
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    • v.10 no.4
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    • pp.263-270
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    • 2016
  • This paper suggests techniques to enhance coding time which is a problem in traditional fractal compression and to improve fidelity of reconstructed images by determining fractal coefficient through adaptive selection of block approximation formula. First, to reduce coding time, we construct a linear list of domain blocks of which characteristics is given by their luminance and variance and then we control block searching time according to the first permissible threshold value. Next, when employing three-level block partition, if a range block of minimum partition level cannot find a domain block which has a satisfying approximation error, There applied to 24-bpp color image compression and image techniques. The result did not occur a loss in the image quality of the image when using the encoding method, such as almost to the color in the YIQ image compression rate and image quality, such as RGB images and showed good.

A Basic Study on the System of Converting Color Image into Sound (컬러이미지-소리 변환 시스템에 관한 기초연구)

  • Kim, Sung-Ill;Jung, Jin-Seung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.2
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    • pp.251-256
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    • 2010
  • This paper aims for developing the intelligent robot emulating human synesthetic skills which associate a color image with sound, so that we are able to build an application system based on the principle of mutual conversion between color image and sound. As the first step, in this study, we have tried to realize a basic system using the color image to sound conversion. This study describes a new conversion method to convert color image into sound, based on the likelihood in the physical frequency information between light and sound. In addition, we present the method of converting color image into sound using color model conversion as well as histograms in the converted color model. In the basis of the method proposed in this study, we built a basic system using Microsoft Visual C++(ver. 6.0). The simulation results revealed that the hue, saturation and intensity elements of a input color image were converted into F0, harmonic and octave elements of a sound, respectively. The converted sound elements were synthesized to generate a sound source with WAV file format using Csound toolkit.

A Study on the Optimization of color in Digital Printing (디지털 인쇄에 있어서 컬러의 최적화에 관한 연구)

  • Kim, Jae-Hae;Lee, Sung-Hyung;Cho, Ga-Ram;Koo, Chul-Whoi
    • Journal of the Korean Graphic Arts Communication Society
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    • v.26 no.1
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    • pp.51-64
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    • 2008
  • In this paper, an experiment was done where the input(scanner, digital still camera) and monitor(CRT, LCD) device used the linear multiple regression and the GOG (Gain-Offset-Gamma) characterization model to perform a color transformation. Also to color conversion method of the digital printer it used the LUT(Look Up Table), 3dimension linear interpolation and a tetrahedron interpolation method. The results are as follows. From color reappearance of digital printing case of monitor, the XYZ which it converts in linear multiple regression of input device it multiplied the inverse matrix, and then it applies the inverse GOG model and after color converting the patch of the result most which showed color difference below 5 at monitor RGB value. Also, The XYZ which is transmitted from the case input device which is a printer it makes at LAB value to convert an extreme, when the LAB value which is converted calculating the CMY with the LUT and tetrahedral interpolations the color conversion which considers the black quantity was more accurate.

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Individual Tooth Image Segmentation with Correcting of Specular Reflections (치아 영상의 반사 제거 및 치아 영역 자동 분할)

  • Lee, Seong-Taek;Kim, Kyeong-Seop;Yoon, Tae-Ho;Lee, Jeong-Whan;Kim, Kee-Deog;Park, Won-Se
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.6
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    • pp.1136-1142
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    • 2010
  • In this study, an efficient removal algorithm for specular reflections in a tooth color image is proposed to minimize the artefact interrupting color image segmentation. The pixel values of RGB color channels are initially reversed to emphasize the features in reflective regions, and then those regions are automatically detected by utilizing perceptron artificial neural network model and those prominent intensities are corrected by applying a smoothing spatial filter. After correcting specular reflection regions, multiple seeds in the tooth candidates are selected to find the regional minima and MCWA(Marker-Controlled Watershed Algorithm) is applied to delineate the individual tooth region in a CCD tooth color image. Therefore, the accuracy in segmentation for separating tooth regions can be drastically improved with removing specular reflections due to the illumination effect.

Effective Fractal-Based Coding of Color Image Using YIQ Model (YIQ 모델을 이용한 칼라 영상의 효율적인 프랙탈 기반 부호화)

  • Kim, Seong-Jong;Lee, Joon-Mo;Shin, In-Chul
    • Journal of IKEEE
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    • v.2 no.2 s.3
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    • pp.185-193
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    • 1998
  • Fractal-based monochrome image coding method can be easily applied for color image compression by splitting the color image into different primary spectral channels such as RGB, YIQ or $YC_bC_r$, and encoding each channel independently According to this method, it needs to repeat the fractal coding for each channel, so it have the problem of encoding time. In this paper, a fractal-based coder for color still image is proposed which features the enhancement of compression rate and the reduction of coding time. As the result of the experiment where the proposed algorithm is applied far color images, the compression rate is enhanced by 28 : 1 above with average PSNR value $28{\sim}29[dB]$, do not lossless encoding process using JPEG. And the encoding time is reduced by maximum 11.5 %.

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