• Title/Summary/Keyword: Color Image

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A Study on the Color Scheme of Workstation Based on the Color Image Types (색채이미지유형에 따른 워크스테이션의 색채배색에 관한 연구)

  • Han, Hye-Sun;Park, Hyo-Chul
    • Korean Institute of Interior Design Journal
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    • v.19 no.5
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    • pp.105-112
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    • 2010
  • The purpose of this study is to suggest the color scheme based on the color image types through the color analysis of workstation furniture which is on the market. This color scheme of the workstation furniture is expected to be give the comfort to office environment when planning office. For this study, It is selected the three furniture firms that have a brand of office furniture and their web site that is showed color sample of furniture. The following researches are drawn based upon the purpose. First, the color image types of interior space is classified and the color image words that are suitable for each types is extracted based on the results of existing literature. Second, the distribution of its hue and tone is analysed after collecting the each firm's color sample of desk top, panel and chair. Third, the color image appearing in each furniture color is analysed by color image scale positioning. Forth, the color scheme of desk top, panel and chair is suggested by its color scheme palette. The result of this study is expected to help comfortable environment by providing the color scheme for selection of furniture color in work space. Not all color of each furniture is sufficient to be combined color scheme, the result is indicated that the color scheme of workstation by color image types is possible for color planning in office environment.

Get Color Image That Using Monochrome CCD Camera and Color Filter, and Color Revision (Monochrome-Camera와 Color-Filter를 이용한 Color Image획득과 색상보정)

  • Kwon O. S.;Park Y. C.
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2005.05a
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    • pp.329-334
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    • 2005
  • Most people are using a Color-CCD-Camera in other to acquire a color image. But we are getting a color image with the Monochrome-CCD-Camera equipped for Rotation-Color-Filter in front of the camera lens. The Monochrome CCD Camera has some advantages such as the low price. In addition Rotation-Color-Filter's design is very simple. So we can make this structure easily and economically. In this paper, we described how to make a color image from Monocrome-Camera and correcting color well.

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A Study on the Color Image Evaluation of Buildings on Urban Street (가로 건축물 색채 이미지 평가 연구 -업무·상업용도 건축물을 중심으로-)

  • Jeong, Ga-Young;Lee, Hyang-Mi
    • Journal of the Korean Institute of Rural Architecture
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    • v.13 no.4
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    • pp.83-90
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    • 2011
  • The purpose of this study is to grasp the color situation of buildings on Urban Street, through the color image evaluation to research primary factors have an effect on color image preferences. A scope of this study is district of Sang Mu in Gwangju Metropolitan City. A method of study put out evaluation model after BIB test by photography, spot color. And performed Factorial Design, Multiple Regression Analysis through SD questionnaire. The result of this study show that color situation exceedingly used YR predominates, support, stress color, in the second place used predominate, support color is B, stress color is R. Luminosity showed middle luminosity 4.1~7.0, low freshness distribution. Color image was evaluated modern and cold image and appeared affirmative aspect clean, order, neat image and showed negative aspect stiff, flat image. And 'comfortableness', 'unification' had an effect on color image preferences The result of this study showed that color plan need to improve comfortableness, unification bring control into line color at building color image of urban street.

A Study of Language on the Korean's Color-Image (한국인의 색채 이미지 언어에 관한 연구)

  • 박연선
    • Archives of design research
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    • v.12 no.1
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    • pp.75-82
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    • 1999
  • It is very necessary and important that color image language is given to each coloring to highten efficiency on applying color scheme. For that in this research, literature cited and survey are carried out to select languages on the Korean's color-image connected with color scheme at the same time, and I did my best to objectify the subjective color image through verifying related experts. As the result of research, I classified the color image into 14 categories; A. energy or dinamic, B. harmony, C. order, D. style and fashion, E. mystery, F. Practically, G. dignity, H, gorgeousness, I. the sense of sight, touch, taste, hearing, J, complexity, K. sexuality and growth, L. standard, M. static and lyricism, N, simplicity to promote user's usefulness. For the user's convenience on color plan, the work to propose odor scheme concided with the selected color-image languages is deferred till the follow-up research.

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A Study of Language on the Korean's Color-Image (한국인의 색채 이미지 언어에 관한 연구)

  • 박연선
    • Archives of design research
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    • v.11 no.3
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    • pp.17-23
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    • 1998
  • It is very necessary and important that color image language is given to each coloring to highten efficiency on applying color scheme. For that in this research, literature cited and survey are carried out to select languages on the Korean's color-image connected with color scheme at the same time, and I did my best to objectify the subjective color image through verifying related experts. As the result of research, I classified the color image into 14 categories; A. energy or dinamic, B. harmony, C. order, D. style and fashion, E. mystery, F. Practicalty, G. dignity, H. gorgeousness, I. the sense of sight, touch, taste, hearing, J. complexity, K. sexuality and growth, L. standard, M. static and lyricism, N. simplicity to promote user's usefulness. For the user's convenience on color plan, the work to propose color scheme concided with the selected color-image languages is deferred till the follow-up research.

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A Study on Color Image Edge detection Using Adaptive Morphological Wavelet-CNN Algorithm (적응 형태학적 WCNN 알고리즘을 이용한 컬러 영상 에지 검출 연구)

  • Baek, Young-Hyun;Shin, Sung;Moon, Sung-Ryong
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2004.04a
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    • pp.201-205
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    • 2004
  • The digital color image can be distorted by noise for a transmission or other elements of system. It happens to vague of a boundary side in the division of a color image object, especially, boundary side of an input color image is very important because it can be determined to the division and detection element in pattern recognition. Therefore it is boundary part In this paper, it detects the optimal edge with applying this color image to WCNN algorithm, after it does level up a boundary side of a color image by using the adaptive morphology as the threshold of an input color image. Also, it is used not a conventional fixed mask edge detection method but variable mask method which is cal led a variable BBM. It is confirmed by simulation that the proposed algorithm can be got the batter result edge at the place of closing to each edges and having smoothly curved line.

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Adaptive morphological Wavelet-CNN Algorithm for the Color Image Edge detection (컬러 영상 에지 검출을 위한 적응 형태학적 WCNN 알고리즘)

  • Beak, Young-Hyun;Moon, Sung-Rung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.4
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    • pp.473-480
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    • 2004
  • This paper presents a new edge detection algorithm in color image. The proposed Adaptive morphological Wavelet-CNN algorithm is divided into two parts : The Adaptive morpholog and WCNN(Wavelet Cellular Neural Networks). It detects the optimal edge with applying this color image to WCNN algorithm, after it does level up a boundary side of a color image by using the adaptive morphology as the threshold of an input color image. Also, it is used not a conventional fixed mask edge detection method but variable mask method which is called a variable BBM. Finally, to show the feasibility of the proposed algorithm, this paper provides by simulation that the color image consists of 30.

Color Image Segmentation by statistical approach (확률적 방법을 통한 컬러 영상 분할)

  • Gang Seon-Do;Yu Heon-U;Jang Dong-Sik
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2006.05a
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    • pp.1677-1683
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    • 2006
  • Color image segmentation is useful for fast retrieval in large image database. For that purpose, new image segmentation technique based on the probability of pixel distribution in the image is proposed. Color image is first divided into R, G, and B channel images. Then, pixel distribution from each of channel image is extracted to select to which it is similar among the well known probabilistic distribution function-Weibull, Exponential, Beta, Gamma, Normal, and Uniform. We use sum of least square error to measure of the quality how well an image is fitted to distribution. That P.d.f has minimum score in relation to sum of square error is chosen. Next, each image is quantized into 4 gray levels by applying thresholds to the c.d.f of the selected distribution of each channel. Finally, three quantized images are combined into one color image to obtain final segmentation result. To show the validity of the proposed method, experiments on some images are performed.

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INVERSE HALFTONING OF COLOR IMAGE USING KALMAN FILTER

  • Kemuriyama, Yohei;Tanaka, Ken-Ichi
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.684-688
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    • 2009
  • In this paper, it proposes the technique to restore from a binary image in the color image. The color image is composed of three element images of red, green and blue. Therefore, the color image is first divided into a red, green, and blue element, and the Inverse Halftoning[2]$\sim$[4] is processed to each element images. Finally, each element images is collectively displayed. In that case, the Kalman filter was applied to the Inverse Halftoning for the restoration accuracy improvement of the image. As a result, it was possible to restore it in the color image as well as the time of a monochrome image. Moreover, the result that the restoration accuracy had improved even when which combining with the technique by using the Kalman filter for the Inverse Halftoning so far came out.

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Generating a True Color Image with Data from Scanning White-Light Interferometry by Using a Fourier Transform

  • Kim, Jin-Yong;Kim, Seungjae;Kim, Min-Gyu;Pahk, Heui Jae
    • Current Optics and Photonics
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    • v.3 no.5
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    • pp.408-414
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    • 2019
  • In this paper we propose a method to generate a true color image in scanning white-light interferometry (SWLI). Previously, a true color image was obtained by using a color camera, or an RGB multichannel light source. Here we focused on acquiring a true color image without any hardware changes in basic SWLI, in which a monochrome camera is utilized. A Fourier transform method was used to obtain the spectral intensity distributions of the light reflected from the sample. RGB filtering was applied to the intensity distributions, to determine RGB values from the spectral intensity. Through color corrections, a true color image was generated from the RGB values. The image generated by the proposed method was verified on the basis of the RGB distance and peak signal-to-noise ratio analysis for its effectiveness.