• Journal of the Korean Graphic Arts Communication Society
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• v.22 no.2
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• pp.55-72
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• 2004

The term color management system design, an ensemble of algorithm that provides a framework in which color information can be processed consistently throughout a digital imaging system. This is most commonly achieved through the use of special color transformation, known as device independent color transformation based on ICC device profiles. The purpose of this paper is to present some of the scientific principles of color management, and the original color management algorithms and solutions for digital soft color proofing system development.

• Plant Resources
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• v.5 no.2
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• pp.124-140
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• 2002

The effects of drying agents and ethyl alcohol treatment on the flower color of Gentiana uchiyamai. The flower color was not much changed in flower sheet, in the case of absorbtion papers only. The color was least changed in Korean and China hwasunjis, in the case of absorbtion papers and silica gel treatment. The color was less changed in flower sheets, window papers, and China hwasunjis, and was most changed in newspapers, in the case of absorbtion papers and Na$_2$SO$_4$ treatment. The color was least changed in China hwasunjis, and most changed in dampened papers, in the case of absorbtion papers and CaO treatment. The color tended to change far from the original one, as treatment time got longer, in the case of 0.01M and 0.lM of tartaric acid. The longer the treatment time and the bigger the concentration of ethyl alcohol, the bigger flower color.

• Proceedings of the Korea Concrete Institute Conference
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• 2006.05b
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• pp.457-460
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• 2006

There are many kind of materials decorating outward of building such as paint, tile, brick, wood, stone and so on. But it has been pointed out some problems because of the industrial pollutions and wastes. Color concrete is a method of expressing out surface of exposed concrete. Generally, color concrete is manufactured by adding pigment to concrete. In this paper we used cement paste as a preparation step to apply to concrete. Pigment was added to white cement for easy observance of color difference. And color change was measured by color reader. Finally, we can predict color difference according to amount of pigment. Also, we investigate the color concrete technology for Art type using developed color concrete.

• Journal of the Korean Home Economics Association
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• v.48 no.3
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• pp.125-134
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• 2010

The purpose of this study was to analyze the characteristics and images of colors in the stewardess's uniforms. For this study, 530 color samples were selected by extracting digital color data by using the Eyedropper Tool of Photoshop 7.0. The RGB color data were transformed into H V/C and the attributes of colors and tones were analyzed. The color images were analyzed with the color image scales of IRI and Shigenobu Kobayashi. As a results, purple-blue(21.7%), neutral(20.9%), red(17.9%) and yellow(10.8%) were found to be the most frequently used colors. In the tone analysis, vivid tone(18.7%) occupied high frequency and the next orders were white(17.4%), dark grayish(12.8%), light(8.5%), dark(8.1%). The color images were focused on dynamic, modern, casual, gorgeous, classic, elegance images in the color image scales of IRI and Kobayashi.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.7
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• pp.641-648
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• 2001

A face detection in color images is important for many multimedia applications. It is first step for face recognition and can be used for classifying specific shorts. This paper describes a new method to detect faces in color images based on the skin color and hair color. This paper presents a fuzzy-based method for classifying skin color region in a complex background under varying illumination. The Fuzzy rule bases of the fuzzy system are generated using training method like a genetic algorithm(GA). We find the skin color region and hair color region using the fuzzy system and apply the convex-hull to each region and find the face from their intersection relationship. To validity the effectiveness of the proposed method, we make experiment with various cases.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.56.2-56
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• 2002

A dye process of textile industry is important part that finally gives required quality to the textile material. To produce a proper dye for the customers, color management that precise color measurement from original color sample and rapid estimation of corresponding color recipe is most essential. In the practical dye manufacturing process, color management falls into two categories. First one is color management with an expert knowledge of colorist, the other one is computer aided way. In the former management way, color management fully depends on colorists' expert without support of the measurement and computational devices. Objective color management is impossible in this way. The...

• Journal of the Korean housing association
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• v.15 no.5
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• pp.33-41
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• 2004

This study examined the effect of the main color of apartment building as background color on the preference for residential streetscape in the relation with surrounding environment of streetscape with its focus on the color of apartment building outer wall. To research a visual evaluation structure, this study aimed to understand its characteristics through quantitative assay and to provide more scientific and specific data about improvement direction. The results suggested that the current brightness and chroma of main color of apartment building was high and low respectively which was advisable. On the other hand, in the color, when the components of the whole streetscape included buildings or soundproofing walls, a streetscape image needed to be improved though the color scheme of 4-distance color difference.

• Proceedings of the KIEE Conference
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• 2007.04a
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• pp.304-306
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• 2007

Methods of Object recognition from camera image are to compare features of color. edge or pattern with model in a general way. SIFT(scale-invariant feature transform) has good performance but that has high complexity of computation. Using simple color histogram has low complexity. but low performance. In this paper we represent a model as a color cooccurrence histogram. and we improve performance using pyramid matching. The color cooccurrence histogram keeps track of the number of pairs of certain colored pixels that occur at certain separation distances in image space. The color cooccurrence histogram adds geometric information to the normal color histogram. We suggest object recognition by pyramid matching of color cooccurrence histogram.

• Journal of Broadcast Engineering
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• v.18 no.2
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• pp.140-148
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• 2013

The haze removal algorithm using median dark channel prior is an efficient and fast method with relatively accurate transmission estimation. However, conventional methods may produce color distortion since the method ignores the color mismatch between estimated airlight and actual airlight. In this paper, we propose a color correction with measuring color fidelity in the HSI color space. Experimental results show that the proposed algorithm gives better color correction scheme.

• Textile Coloration and Finishing
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• v.22 no.1
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• pp.28-36
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• 2010

The deep black coloration of polyester fabrics was obtained by the physical properties of color and color mixing system. In this experiment, we have measured the absorbance and the reflectance of various disperse dyes for accomplishing the lowest lightness value and uniform reflectance, and new matching algorithm and computer color matching was made. The matching used both isomeric and metameric matching. The color matching of deep black color represented low lightness. Though actual reflectance of dyed polyester fabrics using these matching results was as high as theoretical one, low lightness value($L^*$) and uniform appearance were achieved.