• 패션비즈니스
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• 제21권3호
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• pp.14-28
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• 2017

This purpose of this study to analyze effect material properties have on change in QR code recognition rate according to change of materials by comparing recognition rate of color QR code. QR code applied to textile materials has the advantage of being washable and being applicable to lost child prevention goods or clothes or a person with dementia through record of information relating to the material or input of additional information, differently from QR code printed on the conventional paper. An effective method of entering QR code in textile materials is Digital Textile Printing(DTP), that facilitates printing by rapidly applying diverse information, and small quantity production. It is possible to tailor various QR codes according to use. Regarding samples to use, cotton material used in clothing products and Tyvek material recently applied to clothing and related products were selected. Reactive dyes were used for cotton, pigment was used for Tyvek, and QR code was printed with an inkjet printer by direct printing method. Printing methods and surface textures are different between cotton and Tyvek. It was revealed that consequent print results and results of recognition rate were different. Regarding color to be printed, 2015 S/S - 2017 S/S color presented by Pantone was used. Color combination affected recognition rate of color QR code. Understanding color combination, material properties and print characteristics may be helpful in increasing recognition rate of color QR code, and may contribute to usability of color QR code applied to textile materials in the future.

• 한국콘텐츠학회논문지
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• 제18권10호
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• pp.431-442
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• 2018

2차원 바코드인 QR코드는 사진, 동영상, 지도, 명함 등 다양한 정보를 더 편리하게 담아낼 수 있다. 현재 스마트 폰의 보급으로 QR코드는 다양한 인쇄 매체에 인쇄하여 연결된 인터넷 정보를 손쉽게 검색하는 수단으로 활용되고 있다. 그러나 QR코드는 정보보안이 용이하지 않아, 결재시스템에 활용하기에는 매우 제한적이다. 본 논문에서는 기존의 QR코드와 컬러 도안을 결합하여 새로운 코드를 설계하여, 제품 인증 시스템이 요구되는 분야에 활용할 수 있는 방안을 제안한다. 제안한 방법은 CMYK 컬러 모델로 인쇄된 정품은 전자기기에서 RGB 컬러 모델로 캡처되며, 이때 컬러의 왜곡이 발생하게 되는데, 이를 컬러 매트릭스를 통해 측정하고, 통계 특성에 기초한 정품 인증시스템을 제안한다. 다양한 종류의 컬러 코드를 통해 본 논문에서 제안한 방법이 제품 인증 시스템에 효과적으로 사용될 수 있음을 보인다.

• 한국의류산업학회지
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• 제6권6호
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• pp.785-798
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• 2004

Silk has always been coveted as the finest and richest of all fibers woven into cloth. The earlist woven silk fragments found to date come from the third century B.C. The filament created and spun into cocoon by the larva of the silk moth, silk was exported from China to Europe from as early as the third century B.C. Silk industry is export leading industry that guide national textile industry development after the 1960s in Korea. Korean silk industry reached to peak at 1975 is displaying appearance that export scale is decreased recently. Various kinds methods can be proposed for high value added in silk industry, the research about color is essential. The importance of color is increasing in modern textile and fashion industry. Color is important factor of textile and fashion industry because color affects strong influence in human's sensitivity. Silk fabric can give high added value developing high sensitivity color because dye ability is superior. In this study I planned the "Utility Silk Color Code 288" for efficient color management in silk industry. "Utility Silk Color Code 288" are attached the Munsell notation and dyeing data which can reappear the color when needed. This research constructs for insufficient domestic color infrastruction and expect that basic role to develop the competitive power for Korean silk industry.

• 한국멀티미디어학회논문지
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• 제24권8호
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• pp.1012-1019
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• 2021

Currently, since the black-white QR (Quick Response) codes have limited storage capacity, color QR codes have been actively being studied. By multiplexing 3 colors, the color QR codes can allow the code capacity to be increased by three times, however, the color multiplexing brings about the possibility of crosstalk and noises in the acquisition process of the final image, incurring the decrease of bit-recognition rate. In order to improve the bit recognition rate, while keeping the storage capacity high, this paper proposes a new type of color QR code which uses the pattern information as well as the color information, and then analyzes how to increase the bit recognition rate. For this aim, the paper presents an efficient system which extracts embedded information from color QR code and then, through practical experiments, it is shown that the proposed color QR codes improves the bit recognition rate and are useful for commercial applications, compared to the conventional color codes.

• 한국정보과학회논문지:소프트웨어및응용
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• 제32권3호
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• pp.141-152
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• 2005

본 논문에서는 새로운 감성기반 영상검색방법을 제안한다. 서로 다른 색상, 명도, 도트크기를 나타내는 30개의 랜덤 패턴이 제시될 때 인간이 느끼는13가지 감성("like", "beautiful", "natural", "dynamic", "warm", "gay", "cheerful", "unstable", "light", "strong", "gaudy", "hard", "heavy") 평가 데이타로부터 질의 칼라코드와 질의 그레이코드로 명명한 질의 감성 표시자를 설계한다. 감성영상검색을 위해서 질의 감성을 선택하면 질의를 표현하는 칼라코드와 그레이코드가 선택되고 데이타베이스의 영상의 색상 정보를 나타내는 DB 칼라코드와 명도와 도트크기 정보를 나타내는 DB그레이코드값을 추출하여, 칼라코드간의 매칭과 그레이 코드간의 매칭을 통해 유사도를 판단한다. 또한 검색과정에 사용자의 의도를 반영하여 질의 칼라코드와 질의 그레이코드사이의 가중치와 칼라코드내의 가중치를 자동적으로 갱신하는 새로운 유사도 피드백 방법을 제안한다. 430개의 영상에 대해 실험한 결과 최초 질의에 대해 적합한 영상이 부적합한 영상보다 많았으며 유사도 피드백을 사용함에 따라 적합한 영상의 개수가 증가하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 학술대회지
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• pp.846-849
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• 2004

Compared to the bar code which is being widely used for commercial products management, color code is advantageous in both the outlook and the number of combinations. And the color code has application areas complement to the RFID's. However, due to the severe distortion of the color component values, which is easily over $50{\%}$ of the scale, color codes have difficulty in finding applications in the industry. To improve the accuracy of recognition of color codes, it'd better to statistically process an entire color region and then determine its color than to process some samples selected from the region. For this purpose, we suggest a technique to detect edges between color regions in this paper, which is indispensable for an accurate segmentation of color regions. We first transformed RGB color image to HSI and YIQ color models, and then extracted I- and Y-components from them, respectively. Then we performed Canny edge detection on each component image. Each edge image usually had some edges missing. However, since the resulting edge images were complementary, we could obtain an optimal edge image by combining them.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2002년도 추계학술대회 논문집
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• pp.74-78
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• 2002

소비의 패턴이 이성소비에서 감성소비로 전환되면서 오감이 중요한 마케팅 요소로 등장하고 있다. 특히 시각적 요소는 인간이 사물을 인지하는데 있어서 83%정도의 영향력을 발휘하기 때문에 매우 중요하게 고려된다. 따라서 본 연구는 Color Code를 토대로 사용자의 성격을 분류하고 동시에 사용자가 선호하는 색상을 이용하여 색채배색을 제안하는 방법을 설명하고 있는데 성격을 RED, BLUE, WHITE, YELLOW의 4개의 컬러코드로 분류하기 위해서 ‘The Hartman Color Code Personality Profil’을 이용하였다. 조사결과 사용자의 컬러코드 중 가장 많은 코드는 BLUE코드였으며 선호도도 가장 높았다. 이러한 BLUE 코드의 특징 중 색채와 대응할 수 있는 감성어휘를 중심으로 색채배색안을 제시하고 이를 주택상품의 컬러마케팅에 이용하고자 하는 것이 본 연구의 목표이다.

• 한국의류산업학회지
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• 제6권3호
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• pp.285-296
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• 2004

Fashion business must reflect the seasonable fashion trend because fashion has change always, and therefore fashion business has a big risk at the attribute. Careful consideration should be given to the selection of a particular color code to meet the purpose of marketing research in various color products. It must be designed to grasp systematically and comprehensively the current trend of colors. The most suitable color code for meeting this proposition would be one based on the designation by color ranges. The ISCC-NBS method of designating colors, published in 1955, was established by dividing the color solid into 267 color name blocks. The detailed classification like the ISCC-NBS system is very appropriate to serve the purpose of giving all color names according to color ranges. But it is somewhat too complicated to answer the purpose of surveying the trend of colors and of comparing and evaluating the ups and downs in the popularity of the range of each individual color. I have worked out the most convenient method of designating colors in accordance with the type of investigation needed. It is the classification which involves four classification system in itself, fundamental, gross, medium, and minute. The fundamental classification system classifies hues and neutrals into 16ranges. The gross classification system divides the above 16 ranges into 30. The medium classification divides the above 30 ranges into 103 in terms of tones. The minute classification divides the above 103 ranges into 207 in terms of specipic hues.

• 한국실내디자인학회논문집
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• 제16권6호
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• pp.240-249
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• 2007

The purpose of this paper is to produce color harmony code based on color harmony prototype in terms of environmental color design. This paper proposes ways of categorizing more accurate color harmony prototype through digital image processing by the computer program called the Color Syntax. The method of analysis adopted in this paper is pixel based color image processing. The study suggests color harmony prototype which are categorized by a color harmony angles. These angles represented internal relations between colors. This study describes development processes of color harmony prototype which is a basis for creating color harmony codes. Development processes of color harmony schema consists of color analysis, color codes generation and color selection. Also, how to analyze color images and to chose suitable harmony color codes among various codes are main research issues. As a final result, 109 color harmony codes have been obtained. These code numbers are suggested through rotating 2 color pairs in a 360-degree arc in the same color harmony angles, the codes which is applicable to the color harmony schema previously developed. This color harmony codes will produce better color environment in a sense that it will help designers to maximally reduce their time consumption, and the results of their designs will also be related to the use of proper color for regional environments.

• 한국콘텐츠학회논문지
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• 제5권4호
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• pp.150-159
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• 2005

유비쿼터스 컴퓨팅에 대한 관심이 증가함에 따라, 이미지 코드도 다양한 영역에서 관심을 끌고 있다. 유비쿼터스 컴퓨팅에서 이미지 코드가 중요한 이유는 비용면과 함께 많은 영역에서 RFID(radio frequency identification)를 보완하거나 대체할 수 있기 때문이다. 그렇지만, 칼라의 왜곡이 심하여 정확한 칼라를 읽는데 어려움이 있기 때문에, 그 응용은 아직까지는 매우 제한적이다. 이 논문에서는, 칼라의 색상 및 채도 값을 이용하여 자동으로 이미지 코드를 찾아내는 것을 포함하여, 이미지 코드 인식에 관한 효율적인 방법을 제시한다. 이 논문의 실험에서는 현재 상용되고 있는 것들 중 가장 실용적이라고 판단되는 디자인을 사용하였다. 이 이미지 코드에는 여섯 개의 안전 칼라, 즉, R, G, B, C, M, Y가 사용되었다. 실험 영상들로는 크기가 $2464{\times}1632$인 72개의 트루 칼라 필드 영상들을 사용하였다. 히스토그램에 의해 칼라를 보정한 경우, 코드 검출 정확도는 96%, 검출된 코드에 대한 칼라 분류 정확도는 91.28% 이었다. 이미지 코드를 검출 및 인식하는데 2 GHz P4 PC에서 약 5초가 소요되었다.