• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2009.11a
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• pp.87-88
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• 2009

• Journal of the Korean Society of Food Science and Nutrition
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• v.21 no.2
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• pp.171-174
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• 1992

Effects of ascorbic acid and citric acid on pungency and color stabilities in the Horseradish powder during 16 weeks storage were investigated. When the ascorbic arid added 0.1 wt.%, the effect of allyl isothiocynate stability was very significant after 16 weeks storage at 37$^{\circ}C$. However, the effect of citric acid on the allyl isothiocyanate stability was not observed. The results also showed that ascorbic acid and citric arid did not affect the color stability of the Horseradish powder significantly. When the Horseradish powder was tempered with water, the effect of ascorbic acid on stability of allyl isothiocynate and color value was shown.

• Journal of the Korea Computer Graphics Society
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• v.16 no.1
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• pp.1-7
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• 2010

With the widespread use of vision-based surveillance systems, the capability for person identification is now an essential component. However, the CCTV cameras used in surveillance systems tend to produce relatively low-resolution images, making it difficult to use face recognition techniques for person identification. Therefore, an algorithm is proposed for person identification in CCTV camera images based on the clothing. Whenever a person is authenticated at the main entrance of a building, the clothing feature of that person is extracted and added to the database. Using a given image, the clothing area is detected using background subtraction and skin color detection techniques. The clothing feature vector is then composed of textural and color features of the clothing region, where the textural feature is extracted based on a local edge histogram, while the color feature is extracted using octree-based quantization of a color map. When given a query image, the person can then be identified by finding the most similar clothing feature from the database, where the Euclidean distance is used as the similarity measure. Experimental results show an 80% success rate for person identification with the proposed algorithm, and only a 43% success rate when using face recognition.

• Science of Emotion and Sensibility
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• v.19 no.4
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• pp.3-12
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• 2016

The aim of this study is to find the optimal combination dyeing condition for the enhancement of dye uptake and union dyeing of the composite material fabric made of triacetate and quick drying PET blended yarn. For the experiment, fabrics were one-bath combination dyed using the mixed dye of E-type disperse dye(C.I Disperse red 50) and S-type disperse dye(C.I. Disperse red 92) to measure dyed fabric's dye exhaustion, dye uptake, color and color difference according to the diverse conditions including dying temperature, time and mixed ratio of the dye. Dye equilibrium of combination dyeing occurred in $100^{\circ}C$, but by comparing dyed fabrics' K/S value and surface color, it was found that $120^{\circ}C$ was where the manifestation of color of triacetate and quick drying PET was identical. Mixed dye exhaustion and dye uptake merely changed as dyeing time increased, but color became more uniform. Therefore, it can be concluded that by using combination dyeing method, and by using the mixed dye which the mixing ratio of S-type dye and E-type dye is appropriately controlled, dye uptake can be improved compared to using single dyeing regardless of the color of E-type dye.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.29-35
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• 2023

CCTV is used for various purposes such as crime prevention, public safety reinforcement, and traffic management. However, as the range and resolution of the camera improve, there is a risk of exposing personal information in the video. Therefore, there is a need for new technologies that can identify individuals while protecting personal information in images. In this paper, we propose histogram-based singular value decomposition for object identification and tracking. The proposed method distinguishes different objects present in the image using color information of the object. For object recognition, YOLO and DeepSORT are used to detect and extract people present in the image. Color values are extracted with a black-and-white histogram using location information of the detected person. Singular value decomposition is used to extract and use only meaningful information among the extracted color values. When using singular value decomposition, the accuracy of object color extraction is increased by using the average of the upper singular value in the result. Color information extracted using singular value decomposition is compared with colors present in other images, and the same person present in different images is detected. Euclidean distance is used for color information comparison, and Top-N is used for accuracy evaluation. As a result of the evaluation, when detecting the same person using a black-and-white histogram and singular value decomposition, it recorded a maximum of 100% to a minimum of 74%.

• 보존과학연구
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• s.37
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• pp.27-41
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• 2016

This study surveyed color awareness and color systems according to pedigree(Ilseob, Woljoo, Hyegak, Manbong ect.) targeting Dancheongjang (craftsman) who has inherited Dancheong (traditional multicolor). From the survey of color awareness, standardized color system of 'traditional color' awareness by Dancheongjang is 'the color inherited by the master' and it was identified that there is the standardized color system in awareness and its standard is either same or similar to traditional Dancheong. Also, according to each period, colors of Dancheong have been changed, it was thought that change in color materials and preference had went with times. From eleven main colors of Dancheong, chromaticity materials which were preferred by Dancheongjang were analyzed by the faction of Dancheongjang and colors and it resulted in a variety of color ranges over all. In the case of Yangnok, Noerok, Juhong it showed a high deviation with a wide color range while there was a low deviation with a narrow color range in Hayeop, Daja, Seokganju. Through this study it was difficult to identify clear correlations and tendencies of color system by the faction of Dancheongjangs. This is judged to be a reflection of the subjective artistry of the members.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2005.11a
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• pp.299-300
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• 2005

본 연구에서는 $SiO_2$ 판상체 위에 저굴절 및 고굴절 금속 산화물을 다층 교차 증착하여 Pearl Pigment를 sputtering 공법을 이용하여 증착하였다. Pearl Pigment는 Essential Macleod program 을 이용한 색상과 증착된 pigment의 색상이 파장에 따라 blue, violet, pink, red, orange, yellow, green 등(Wave length : 450$\sim$730 nm)으로 동일하게 나타났고, 기존의 제품에 비해 색상효과가 뛰어나고, 표면 morphology가 우수하였다. 주사전자현미경(SEM)으로 막 두께, 표면 조직 및 입자 크기를 측정하였고, 스펙트로미터를 사용하여 각각의 파장을 분석하였으며 EDS, XRD를 이용하여 정성 및 정량 분석을 하였다.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2005.07a
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• pp.491-492
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• 2005

본 연구에서는 $Al_2O_3$, $SiO_2$ 판상체 위에 저굴절 및 고굴절 금속 산화물을 다층 교차 증착하여 Pearl Pigment를 sputtering 공법을 이용하여 증착하였다. Pearl Pigment는 Essential Macleod program 을 이용한 색상과 증착된 pigment의 색상이 파장에 따라 blue, violet, pink, red, orange, yellow, green 등(Wave length 450~623 nm)으로 동일하게 나타났고, 기존의 제품에 비해 색상효과기 뛰어나고, 표면 morphology가 우수하였다. 광학 현미경 및 주사전자현미경(SEM)으로 막 두께, 표면 조직 및 입자 크기를 측정하였고, EDS, XRD를 이용하여 정성 및 정량 분석을 하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1318-1321
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• 2022

본 논문에서는 단일 깊이 센서를 사용하는 자율주행 시나리오에서 거리 계산에 주로 이용되는 깊이 데이터만 이용하는 객체 감지 기술을 제안한다. 우선, 해당 시나리오에서 객체 감지 학습 데이터는 깊이 데이터가 사용되지만 상대적으로 객체 감지 성능을 비교하기 위해 동일한 시간의 색상, 깊이 데이터를 함께 획득하여 학습에 이용한다. 학습모델은 객체 감지 분야에서 최근 주목 받고 있는 YOLOv5로 선정하여 색상, 깊이 데이터의 객체 감지 학습의 결과를 각각 확인하였다. 결과적으로 색상과 깊이 데이터 사이에서 객체 감지 학습 결과의 차이를 확인하며 본 논문에서 제안하는 자율주행 시나리오에 깊이 영상만 이용하는 객체 감지 기술의 문제점과 향후 자율주행 기술 발전에 기여 가능성을 확인할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.164-167
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• 2008

효과적이고 정확한 물체인식은 컴퓨터 비전 연구 분야에 있어 매우 중요한 부분이다. 조명, 카메라 회전등의 외부환경의 변화에 의해 서로 다르게 획득되는 영상에 대해서도 강인하도록 동일한 특징점을 추출하고 매칭할 수 있는 방법으로 SIFT(Scale Invariant Feature Transform) 매칭이 많이 사용되어 왔다. 그러나 기존의 SIFT기술자는 특징점 주변의 그레이만을 이용하여 기술하기 때문에 물체의 그레이정보가 유사하며 색상이 다르더라도 그레이정보만 유사할 경우에도 매칭되는 단점이 있다. 이러한 문제점을 개선하기 위하여 본 연구에서는 기본영역가 확장영역의 색상 히스토그램에 기반 한 기술자를 추가하여 오매칭에 대한 인식 성능을 향상 시키는 방법을 제안한다.