• Proceedings of the KSEG Conference
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• 2001.03a
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• pp.127-140
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• 2001

최근 지질공학의 다양한 분야에 영상처리기법들이 적용되고 있다. 그러나 영상의 획득 및 분석 단계에서 발생하는 각종 오차에 관한 문제는 많은 부분 무시되어 왔다. 이에 본 연구에서는 암석영상처리의 신뢰도 향상을 위한 컬러보정기법을 개발하였다. 표준 컬러차트를 이용하여 컬러보정과 오차분석을 수행하였으며, 그 결과 영상처리의 신뢰도 향상과 영상들간의 상호 비교·분석을 꾀할 수 있었다.

• Tunnel and Underground Space
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• v.12 no.1
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• pp.1-9
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• 2002

Recently, the use of image analysis methods and commercial equipments has been extensively increased in the field of rock engineering. However the problem of errors involved in the image acquisition and subsequent analysis procedure has been frequently neglected. In addition there has been few studies dealing with this problem. So proper color calibration method is needed to be developed for the objectivity and improvement of reliability on image analysis of rock. Color calibration method using standard color rendition chart was adopted on this study. Color calibration and error analysis were carried out for the image acquired from granite rock samples. As a result, comparison among other rock images and improvement of reliability on whole analysis were possible.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.06a
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• pp.106-107
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• 2019

본 논문은 안드로이드 환경에서 사용자의 피부색으로부터 퍼스널 컬러를 추정하고, 퍼스널 컬러와 함께 조화 색상을 추천하는 것을 목표로 한다. 이를 위해 기존 영상 처리를 이용한 퍼스널 컬러 분석 방법[1]에 색채 이론을 도입하여 입력 영상으로부터 보다 정확하게 퍼스널 컬러를 추정하는 방법을 제안한다. 결과적으로, 기존 퍼스널 컬러 이론이나 방법보다 더 개인에게 최적화된 색상을 추천할 수 있었다.

• Journal of Satellite, Information and Communications
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• v.8 no.3
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• pp.52-57
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• 2013

This paper describes the color comparison analysis of flame in each standard color model in order to propose the optimal color model for image processing based flame detection algorithm. Histogram intersection values were used to analyze the separation characteristics between color of flame and color of non-flame in each standard color model which are RGB, YCbCr, CIE Lab, HSV. Histogram intersection value in each color model and components is evaluated for objective comparison. The analyzed result shows that YCbCr color model is the most suitable for flame detection by average HI value of 0.0575. Among the 12 components of standard color models, each Cb, R, Cr component has respectively HI value of 0.0433, 0.0526, 0.0567 and they have shown the best flame separation characteristics.

• Electronics and Telecommunications Trends
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• v.17 no.6 s.78
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• pp.173-181
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• 2002

컬러 디스플레이의 색재현 특성을 좋게 하는 것은 전세계 소비자들의 공통된 바램이다. 이를 위해서, 컬러 재현 장치에서 장치 독립적인 컬러 이미징 기술의 개발이 필요하다. 이를 뒷받침하는 기술은 컬러 어피어런스 모델(color appearance models)을 이용한 컬러의 재현능력 향상인 것이다. 따라서, 본 고에서는 컬러 어피어런스 모델의 최신 기술 동향, 색순응 변환에 있어서의 최신 기술 및 컬러의 차이를 정확히 나타내는 색오차식의 최신 기술을 소개하고자 한다.

• Journal of the Korea Computer Graphics Society
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• v.19 no.1
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• pp.1-9
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• 2013

Color plays a fundamental and important role in various areas, it has become important to choose colors which fits the purpose and also harmonious. The goal of this study is to reduce the difficulties of choosing the color and get the colors with high satisfaction when users want to choose multiple colors. To do this, we extracted and analysed a large number of colors in color database. And We designed an interface applied to high preference color combination rule. We also evaluated the usability and user satisfaction of the interface. The results showed that the functionality of the developed interface is more useful and is more satisfied than that of the conventional interface.

• Science of Emotion and Sensibility
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• v.8 no.4
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• pp.355-363
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• 2005

The adjectives for represnting emotions is important to evaluate and select the colors or color patterns. In this paper, we perform the MDS analysis, factor analysis, and cluster analysis to the Soen's experimental data obtained from the evaluation of random color patterns with 13 adjective pairs. As a result, those adjectives can be reduced 3 different factors representing emotions of weight, activity and temperature, which is approximately corresponds the results of previous researches on single colors. Also, we show that the adjectives for preference can be approximate4 by other primary adjectives for color patterns using regression analysis. This implies that one can construct a uniform emotion space for evaluating and selecting color patterns regardless of objects such as wall papers, carpets, and so on.

• Journal of Digital Contents Society
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• v.10 no.4
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• pp.569-578
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• 2009

In this paper, we describe the color reproduction system for color images captured by digital camera. The system uses a color compensation chart to estimate the transformation between the colors in the image and the reference colors in the chart. The color reproduction process consists of two steps, i.e., the profile creation process and the profile application process. During the pro-file creation process, the relationships between the captured colors and the ref-erence colors are estimated. And the system creates a color profile and embeds the estimation result in the profile. During the profile application process, the colors in the images which are captured under the same condition as that of the chart image are reproduced using the created color profile. To evaluate the per-formance of the system, we perform experiments under various conditions. And we compare the results with those of widely used commercial applications.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.9
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• pp.4472-4477
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• 2013

This paper describes the color features of smoke in each standard color model in order to present the most suitable color model for somke detection in video surveillance system. Histogram intersection technique is used to analyze the difference characteristics between color of smoke and color of non smoke. The considered standard color models are RGB, YCbCr, CIE-Lab, HSV, and if the calculated histogram intersection value is large for the considered color model, then the smoke spilt characteristics are not good in that color model. If the calculated histogram intersection value is small, then the smoke spilt characteristics are good in that color model. The analyzed result shows that the RGB and HSV color models are the most suitable for color model based smoke detection by performing respectively 0.14 and 0.156 for histogram intersection value.

• Electronics and Telecommunications Trends
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• v.18 no.2 s.80
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• pp.25-36
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• 2003

컴퓨터 입출력 장치를 통해 다루어지는 디지털 영상의 컬러 매칭을 위하여 행해지는 영상의 컬러 정보 변환 표준으로 사용되는 ICC 디바이스 프로파일 표준 규격에 대하여 알아보고, 한국전자통신연구원에서 개발한 ICC 디바이스 프로파일을 이용한 컬러운영시스템 및 프로파일 편집기에 대하여 알아본다.