• Title/Summary/Keyword: LAB color

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Analysis of Oxy- and Metmyoglobin in Beef Chuck by Absorption Spectrophotometer and Hunter-Lab (Hunter-Lab와 분광광도계(分光光度計)에 의한 쇠고기의 Oxy-와 Metmyoglobin의 분석(分析))

  • Yeo, Young Keun;Park, Choon Ran
    • Current Research on Agriculture and Life Sciences
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    • v.1
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    • pp.165-167
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    • 1983
  • Oxy - and metmyoglobin concentrations in beef chuck were measured by Hunter-Lab and spectrophotometer. The values of oxymyoglobin by Hunter-Lab got 34.03, 10.40, and 6.50 as average in L, a, and b while the CIE color primaries were 13.33, 11.58, and 9.94 in X, Y, and Z, respectively. The metmyoglobin values recorded 39.10, 13.20, and 10.13 in L, a, and b, of which values were converted to 17.88, 15.29, and 11.40 in X, Y, and Z of the CIE primaries. Absorption spectrum of oxymyoglobin showed 2 peaks which were 0.79 and 0.83 pf extinction coefficient with 530 and 570nm in wavelengh, and that of metmyoglobin appeared on an irregular curve with a summit of 0.58 and 500 in extinction coeffcient ($cm^2$/mg) and wavelength(nm) each.

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Evaluation of Smart Lighting User Experience in Smart Safety Living Lab (스마트안전 리빙랩에서의 스마트 조명 사용자경험 평가)

  • Jo, Eun-Ji;Ryu, Do-Hyeon;Kim, Kwang-Jae;Lee, Gi-Hyun;Yun, Jung-Min;Cho, Jung-Hyun;Jeon, Kwang-sik;Lee, Ji-Yeon
    • Journal of Korean Society for Quality Management
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    • v.50 no.4
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    • pp.679-700
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    • 2022
  • Purpose: Smart lighting adjusts brightness and color temperature according to weather, the user's activity, mood, etc. This study performed user experience(UX) evaluation of smart lighting in a living lab. The purpose of evaluating UX and analyzing the evaluation results is to improve user-friendliness and market competitiveness of smart lighting Methods: A living lab is a virtual or physical space where various stakeholders participate to develop, verify, and evaluate products, services, or systems in a real-life environment. In this study, an environment of using smart lighting was established in the Smart Safety Living Lab. Subjects performed UX evaluation after interacting freely with smart lighting in the Smart Safety Living Lab. Results: As a result of UX evaluation, it was confirmed that UX was overall excellent and subjects were satisfied with setting a desired indoor mood through smart lighting. However, operating the switch of smart lighting may be difficult due to its complexity, and it is needed to improve some functionalities such as the brightness range provided by smart lighting. Conclusion: This study is expected to contribute to establishing the way of UX improvement of smart lighting. This study is also expected to contribute to developing smart lighting as a high-quality product by reflecting the subjects' needs and UX derived in a real-life environment.

A Study of Brush Stroke Generation Using Color Transfer (칼라변환을 이용한 브러쉬 스트로크의 생성에 관한 연구)

  • Park, Young-Sup;Yoon, Kyung-Hyun
    • Journal of the Korea Computer Graphics Society
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    • v.9 no.1
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    • pp.11-18
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    • 2003
  • 본 논문에서는 회화적 렌더링에서 칼라변환을 이용한 브러쉬 스트로크의 생성에 관한 새로운 알고리즘을 제안한다. 본 논문의 브러쉬 스트로크 생성을 위한 전체적인 구성은 다음과 같다. 첫째, 두 장의 사진(한 장의 소스 이미지와 한 장의 참조 이미지)을 입력으로 하여 칼라 변환 이론을 적용하여 색상 테이블이 바뀐 새로운 이미지를 생성한다. 이 방법은 소스 이미지의 칼라 분포 형태를 창조 이미지의 칼라 분포 형태로 변환하기 위해, 선형 히스토그램 매칭이라 불리는, 간단한 통계학적 방법을 이용한다. 둘째, 가우시안 블러링과 소벨 필터를 이용하여 에지를 검출한다. 검출된 에지는 브러쉬 스트로크 렌더링 시 에지 부분에서 스트로크를 클리핑 함으로써 이미지의 윤곽선 보존을 위해 사용된다. 셋째, 브러쉬 스트로크의 방향을 결정하기 위한 방향맵을 생성한다. 방향맵은 입력 영상에 대한 영역 분할 및 병합을 토대로 만들어진다. 영역별 각 픽셀들에 대해 이미지 그래디언트에 기초한 일정한 방향을 부여함으로써 방향맵을 구성한다. 넷째, 구성된 방향맵을 참조하여 브러쉬 스트로크 생성의 기초가 되는 베지어 곡선(Bezier Curve)의 제어점(Control point)을 설정한다. 실제 회화작품에서 사용되는 브러쉬 스트로크는 일반적으로 곡선의 형태를 이루므로 곡선 표현이 가능한 베지어 곡선을 이용하여 브러쉬 스트로크를 표현하였다. 마지막으로, 생성된 브러쉬 스트로크를 에지부문에서 클리핑하고 배경색을 참조하여 블렌딩하거나 퐁 조명 모델을 이용하여 이미지에 적용하게 된다.

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Extraction of Color Information from Images using Grid Kernel (지역적 유사도를 이용한 이미지 색상 정보 추출)

  • Son, Jeong-Woo;Park, Seong-Bae;Kim, Sang-Su;Kim, Ku-Jin
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.06b
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    • pp.182-187
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    • 2007
  • 본 논문에서는 이미지 상에 나타난 색상 정보를 추출하기 위한 새로운 커널 메소드(Kernel method)인 Grid kernel을 제안한다. 제안한 Grid kernel은 Convolution kernel의 하나로 이미지 상에 나타나는 자질을 주변 픽셀에서 나타나는 자질로 정의 하고 이를 재귀적으로 적용함으로써 두 이미지를 비교한다. 본 논문에서는 제안한 커널을 차량 색상 인식 문제에 적용하여 차량 색상 인식 모델을 제안한다. 이미지 생성시 나타나는 주변 요인으로 인해 차량의 색상을 추출하는 것은 어려운 문제이다. 이미지가 야외에서 촬영되기 때문에 시간, 날씨 등의 주변 요인은 같은 차량이라 하더라도 다른 색상을 보이게 할 수 있다. 이를 해결하기 위해 Grid kernel이 적용된 차량 색상 인식 모델은 이미지를 HSV (Hue-Saturation-Value) 색상 공간으로 사상하여 명도를 배제하였다. 제안한 커널과 색상 인식 모델을 검증하기 위해 5가지 색상을 가진 차량 이미지를 이용하여 실험을 하였으며, 실험 결과 92.4%의 정확율과 92.0%의 재현율을 보였다.

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Effect of Different Pediococcus pentosaceus and Lactobacillus plantarum Strains on Quality Characteristics of Dry Fermented Sausage after Completion of Ripening Period

  • Seleshe, Semeneh;Kang, Suk Nam
    • Food Science of Animal Resources
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    • v.41 no.4
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    • pp.636-649
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    • 2021
  • The aim of this study was to evaluate the effect of three different strains of lactic acid bacteria (LAB) starter cultures: Pediococcus pentosaceus (KC-13100) (PP), Lactobacillus plantarum (KCTC-21004) (LP1), and L. plantarum (KCTC-13093) (LP2) on the physicochemical and microbiological characteristics, and sensory quality of dry fermented sausages after 21 days of drying and ripening period. Treatments added with PP and LP2 strains showed a significant higher (p<0.05) LAB and total plat counts, and water activity (aw) of all three treatments was below 0.85 after the completion of the ripening process. A significant variation (p<0.05) in pH values of treatments was exhibited due to the difference in acidification capacity of the LAB strains: LP2PP>LP2. Substantial variations (p<0.05) in shear force values were detected amongst three batches (LP2>LP1>PP). In sensory attributes, PP treated samples had significantly higher (p<0.05) color and overall acceptability scores. The current findings proved how important the optimal assortment of starter culture. Inoculation with PP produced importantly beneficial effects on sensory quality improvement of dry fermented sausage.

The Camera Tracking of Real-Time Moving Object on UAV Using the Color Information (컬러 정보를 이용한 무인항공기에서 실시간 이동 객체의 카메라 추적)

  • Hong, Seung-Beom
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.18 no.2
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    • pp.16-22
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    • 2010
  • This paper proposes the real-time moving object tracking system UAV using color information. Case of object tracking, it have studied to recognizing the moving object or moving multiple objects on the fixed camera. And it has recognized the object in the complex background environment. But, this paper implements the moving object tracking system using the pan/tilt function of the camera after the object's region extraction. To do this tracking system, firstly, it detects the moving object of RGB/HSI color model and obtains the object coordination in acquired image using the compact boundary box. Secondly, the camera origin coordination aligns to object's top&left coordination in compact boundary box. And it tracks the moving object using the pan/tilt function of camera. It is implemented by the Labview 8.6 and NI Vision Builder AI of National Instrument co. It shows the good performance of camera trace in laboratory environment.

An Image Segmentation Technique For Very Low Bit Rate Video Coding

  • Jung, Seok-Yoon;Kim, Rin-Chul;Lee, Sang-Uk
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1997.06a
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    • pp.19-24
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    • 1997
  • This paper describes an image segmentation technique for the object-oriented coding at very low bit rates. By noting that, in the object-oriented coding technique, each objects are represented by 3 parameters, namely, shape, motion, and color informations, we propose a segmentation technique, in which the 3 parameters are fully exploited. To achieve this goal, starting with the color space conversion and the noise reduction, the input image is divided into many small regions by the K-menas algorithm on the O-K-S color space. Then, each regions are merged, according to the shape and motion information. In simultations, it is shown that the proposed technique segments the input image into relevant objects, according to the shape and motion as well as the colors. In addition, in order to evaluate the performance of the proposed technique, we introduce the notion of the interesting regions, and provide the results of encoding the image with emphasizing the interesting regions.

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Digital Color Image Watermarking for HVS(Human Visual System) using Daubechies wavelet

  • Park, Jong-Tae;Rhee, Kang-Hyeon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.7
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    • pp.1488-1492
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    • 2004
  • The digital signal has been replaced the analog signal in most of every field of multimedia including still image, animation, and audio due to the enormous extension of computer supply and the fast development of computer network. The consumers of information are able to enjoy the abundance of information because of one of the digital signal traits that very easy to regenerate the original data. Because of the trait, however, it is very hard for the producers of information to keep the copyright with the merit of original copy in quality excellency. In this paper, the watermarking technology which inserts a RGB color watermark in color image using the visual characteristics of wavelet coefficient was proposed. As a result, the PSNR value of image was varied depending on perceptual parameter, but we can obtain 32dB as a whole.

Lab Color Space based Rice Yield Prediction using Low Altitude UAV Field Image

  • Reza, Md Nasim;Na, Inseop;Baek, Sunwook;Lee, In;Lee, Kyeonghwan
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2017.04a
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    • pp.42-42
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    • 2017
  • Prediction of rice yield during a growing season would be very helpful to magnify rice yield as it also allows better farm practices to maximize yield with greater profit and lesser costs. UAV imagery based automatic detection of rice can be a relevant solution for early prediction of yield. So, we propose an image processing technique to predict rice yield using low altitude UAV images. We proposed $L^*a^*b^*$ color space based image segmentation algorithm. All images were captured using UAV mounted RGB camera. The proposed algorithm was developed to find out rice grain area from the image background. We took RGB image and applied filter to remove noise and converted RGB image to $L^*a^*b^*$ color space. All color information contain in both $a^*$ and $b^*$ layers and by using k-mean clustering classification of these colors were executed. Variation between two colors can be measured and labelling of pixels was completed by cluster index. Image was finally segmented using color. The proposed method showed that rice grain could be segmented and we can recognize rice grains from the UAV images. We can analyze grain areas and by estimating area and volume we could predict rice yield.

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A Study on the Emotional Cognitive Characteristics of Formative Elements - Focusing on Color and Form - (조형요소의 감성적 인지특성에 관한 연구 - 색상과 형태를 중심으로 -)

  • Hwang, Mi Kyung;Kwon, Mahn Woo;Kim, Chee Yong
    • Journal of Korea Multimedia Society
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    • v.24 no.3
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    • pp.460-467
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    • 2021
  • Among the formative elements, color and form are the most critical elements that can capture a person's perspective. Companies are concentrating on developing visual perception-oriented products by accommodating the diverse needs of consumers, where the emotional factor plays as an important design consideration. Accordingly, the visual perception reaction of consumers was analyzed through a questionnaire focusing on color and form. The result finds that, when Ernst Gombrich (1909-2001) perceives objects in questionnaires related to personal preferences for color and form, humans do not rely solely on the eyes, but describes with the knowledge diagram through that knowledge. In doing so, the knowledge that we already know plays a part to describe the object. In addition, colors and forms are recognized by combining the social and cultural information experiences of the perceiver with the learned knowledge. In the future studies that define the interrelationships of the formative elements should be continued through the analysis of more complex and clear visual perception characteristics of the formative elements.