• 한국포장학회지
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• 제27권2호
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• pp.101-107
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• 2021

Time-temperature integrators (TTIs) based on aqueous enzyme solutions produce transparent colors which lead to difficulty in distinguishing its color change by naked eye. In this present study, this issue has been solved by increasing the opacity of laccase-based TTI without changes in the kinetics (same zero-order reaction) and temperature dependency (similar Arrhenius activation energy values) of the color change. The opacity was increased by introducing TiO₂, latex, BaSO₄, or ZnO, in combination with a hydrocolloid (xanthan gum, acacia gum, pectin, and CMC) into the TTI system. The combination of TiO₂ and xanthan gum was the best. This finding broadened the advantages of laccase-based TTI to more practical uses for consumer convenience.

• 조명전기설비학회논문지
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• 제25권10호
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• pp.1-13
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• 2011

The aim of this study is to analyze the emotion adjectives for light emitting diode(LED) light colors using a twofold adjective image scales from Kobayashi and I.R.I. A set of psychophysical experiments using category judgment was conducted in an LED light color simulation system, in order to evaluate each emotion scale coordinate for those test light colors in both adjective image scales. In total, 49 test light colors from a combination of 6 color series were assessed by 15 human observers. As a result, Kobayashi adjective image scale clearly expressed to emotion adjectives of 'Dynamic', 'Casual', 'Chic', 'Cool-casual', 'Modern', and 'Natural' for different hues. In contrast, I.R.I adjective image scale expressed only 2 adjectives of 'dynamic' and 'luxurious' for the all hues.

• Journal of Information Processing Systems
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• 제16권4호
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• pp.991-1000
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• 2020

We propose a content-based image retrieval system that uses a combination of completed local binary pattern (CLBP) and color autocorrelogram. CLBP features are extracted on a multi-resolution multi-direction filtered domain of value component. Color autocorrelogram features are extracted in two dimensions of hue and saturation components. Experiment results revealed that the proposed method yields a lot of improvement when compared with the methods that use partial features employed in the proposed method. It is also superior to the conventional CLBP, the color autocorrelogram using R, G, and B components, and the multichannel decoded local binary pattern which is one of the latest methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권1호
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• pp.190-207
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• 2015

In the combustion engineering, to decrease pollution and increase production efficiency, and to optimally keep solid burning material amount constant in a burner online, it needs a smart method to detect the amount variation of the burning materials in a high temperature environment. This paper presents an online machine vision system for automatically measuring and detecting the burning material amount inside a burner or a boiler. In the camera-protecting box of the system, a sub-system for cooling is constructed by using the cooling water circulation techqique. In addition, the key and intelligent step in the system is to detect the pile profile of the variable burning material, and the algorithm for the pile profile tracing was studied based on the combination of the gey level (color) discontinuity and similarity based image segmentation methods, the discontinuity based sub-algorithm is made on the quaternion convolution, and the similarity based sub-algorithm is designed according to the region growing with multi-scale clustering. The results of the two sub-algoritms are fused to delineate the final pile profile, and the algorithm has been tested and applied in different industrial burners and boilers. The experiements show that the proposed algorithm works satisfactorily.

• Journal of Biosystems Engineering
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• 제24권5호
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• pp.431-438
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• 1999

The environmental control based on interactive thermoregulatory behavior for swine production has many advantages over the conventional temperature-based control methods. Therefore, this study was conducted to compare various feature selection methods using postural images of growing pigs under various environmental conditions. A color CCD camera was used to capture the behavioral images which were then modified to binary images. The binary images were processed by thresholding, edge detection, and thinning techniques to separate the pigs from their background. Following feature were used for the input patterns to the neural network ; \circled1 perimeter, \circled2 area, \circled3 Fourier coefficients (5$\times$5), \circled4 combination of (\circled1 ＋ \circled2), \circled5 combination of (\circled1 ＋ \circled3), \circled6 combination of (\circled2 ＋ \circled3), and \circled7 combination of (\circled1 ＋ \circled2 ＋ \circled3). Using the above each input pattern, the neural network could classify training images with the success rates of 96%, 96%, 96%, 100%, 100%, 96%, 100%, and testing images with those of 88%, 86%, 93%, 96%, 91%, 90%, 98%, respectively. Thus, the combination of perimeter, area and Fourier coefficients of the thinning images as neural network features gave the best performance (98%) in the behavioral classification.

• International Journal of Internet, Broadcasting and Communication
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• 제12권2호
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• pp.1-7
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• 2020

The secure access the lighting, Heating, ventilation, and air conditioning (HVAC), fire safety, and security control boxes of building facilities is the primary objective of future smart buildings. This paper proposes an authorized user access to the electrical, lighting, fire safety, and security control boxes in the smart building, by using color grid coded optical camera communication (OCC) with face recognition Technologies. The existing CCTV subsystem can be used as the face recognition security subsystem for the proposed approach. At the same time a smart device attached camera can used as an OCC receiver of color grid code for user access authentication data sent by the control boxes to proceed authorization. This proposed approach allows increasing an authorization control reliability and highly secured authentication on accessing building facility infrastructure. The result of color grid code sequence received by the unauthorized person and his face identification allows getting good results in security and gaining effectiveness of accessing building facility infrastructure. The proposed concept uses the encoded user access authentication information through control box monitor and the smart device application which detect and decode the color grid coded informations combinations and then send user through the smart building network to building management system for authentication verification in combination with the facial features that gives a high protection level. The proposed concept is implemented on testbed model and experiment results verified for the secured user authentication in real-time.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2004년도 Asia Display / IMID 04
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• pp.483-486
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• 2004

A CCD-based color uniformity measurement system was set up. Through measuring the two-dimensional brightness distributions of three primary colors on the screen, chromaticity coordinate distributions of combination gray can be obtained within a few seconds. This system can be widely used in the production of LCD projection.

• 전자공학회논문지CI
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• 제46권3호
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• pp.57-63
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• 2009

컴퓨터 기반의 영상 데이터베이스의 급격한 증가에 따라 영상 정보를 관리할 수 있는 시스템의 필요성이 증가하고 있다. 본 논문에서는 영상분할 알고리즘에 Active Contour, 칼라 특징으로 칼라 오토코렐로그램(Color Autocorrelogram), 질감 특징으로 CWT(Complex Wavelet Transform), 그리고 형태 특징으로 Hu 불변모멘트를 선택하여 이들을 효율적으로 추출하고 결합한 영역기반 다중 특징 영상검색 알고리즘을 제안한다. 칼라 오토코렐로 그램은 영상의 H(Hue), S(Saturation) 성분으로부터 추출 하였고, 질감 특징과 형태 및 위치 특징은 V(Value) 성분으로부터 추출하였다. 효율적인 유사도 측정을 위해 추출된 특징(오토코렐로그램, Hu 불변 모멘트, CWT 모멘트)을 결합하여 정확도와 재현율을 측정하였다. Corel DB 및 VisTex DB에 대한 실험 결과, 제안된 영상검색 알고리즘은 94.8%의 정확도와 90.7%의 재현율을 가지며 성공적으로 영상검색 시스템에 응용할 수 있다.

• 한국의류학회지
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• 제33권5호
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• pp.804-816
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• 2009

This study was aimed to analyze color characteristics of silk fabrics dyed with a variety of commercial natural dyes focusing on hue/tone system. Using eleven different natural dyes, single and sequential dyeing were performed under a variety of conditions of dye bath concentration, mordanting, and dyeing sequences. Color characteristics of dyed silk fabrics were investigated by Munsell's color notation of H V/C and PCCS (Practical Color Coordination System) tones. As results, most of yellowish natural dyes as principal shades in natural dyeing showed Y or YR for hue families while d, ltg, and g for tone, which agrees with colors frequently used in comtemporary apparel industries. As for single dyeing, some hues like R, RP, G, GY, and BG were found to have their own tones owing to the used natural dyes. For varying hues in natural dyeing, sequential dyeing is useful in that GY, G, and BG rarely appeared in single dyeing were frequently shown in sequential dyeing by combination of some dyes. In the other hands, mordanting may be employed for tone variation in that aluminum seemed to contribute to light and dull tones, copper to dull, and ferrum to garyish and dark ones. These results can be helpful to design colors for fashion fields by natural dyeing.

• 디자인학연구
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• 제12권4호
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• pp.317-326
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• 1999

한국전통색이란 시대를 초월하여 한국민족의 삶속에 살아있는 색이다. 이러한 전통색 중 한국전통색을 대표하는 청·홍의 색조특성을 알아보기 위하여 조선시대의 색명과 염직유물의 색조를 조사하였다. 한국전통색 청·홍의 색조를 조사하기 위해여 먼저 조선시대의 문헌을 통하여 출현색명을 조사하였다. 색조를 나타내는 한국말에는 대단히 다양한 형용사가 앞에 붙어 색조를 특징짓는다. 색명에는 여러유형의 형용사들이 앞에 붙는데, 그 중에 대표적인 것은 농색과 담색을 나타내는 형용사들이다. 이처럼 제한된 색명의 가능성을 증가시키기 위하여 조선인들은 다양한 톤의 청색계(32색)와 홍색계(40개)의 색명을 만들어 내었다. 이러한 청·홍색계의 출현율은 대단히 높고, 조선시대의 궁중복식에서도 주조색으로서 사용되었다. 조선인은 다양한 청·홍색계의 배색으로 그들의 음양론에 기초한 색체관과 세련된 미의식을 표현하였다. 박물관에 있는 염직유물들의 색체는 측색되어 먼셀컬러시스템과 ISCC-NBS의 계통색명법에 의해 분류되고, 고찰되었다. 또한 전통색조인 남염과 홍화염이 산업체에서 이용되어지도록, 남염과 홍화염의 염색방법을 계량화하여, 데이터를 제시하였다.