• 제목/요약/키워드: color saturation

검색결과 339건 처리시간 0.022초

측정각도를 고려한 액정교정기법의 개선 (Improvement of Calibration Method of Thermochromic Liquid Crystal Reflecting Measurement Angle)

  • 윤순현;심재경;우창수
    • 대한기계학회논문집B
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    • 제24권2호
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    • pp.188-194
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    • 2000
  • Thermochromic liquid crystal reflect a unique color at even temperature. Therefore, they have been successfully applied to non-intrusive heat transfer research. Hue capturing method is widely used in the quantitative measurement from the TLC image. However it is affected by several measurement conditions. The distances of camera and light source have little influence on the color, but the value of hue is seriously affected by the measurement angle. In this study, the hue capturing method is improved by considering the effect of measurement angle. This improved calibration method can diminish the misreading of temperature caused by curvature of test surface.

채색 분리를 이용한 그림 영상에서의 색변환 기법 (Color Transfer in Painting Images Using Separation of Saturation)

  • 곽정민;박찬우;문영식
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2007년도 가을 학술발표논문집 Vol.34 No.2 (C)
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    • pp.505-509
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    • 2007
  • 색 변환(Color Transfer) 기법은 컴퓨터 비전 및 영상 처리 분야에서 점점 더 많은 연구가 되고 있는 분야이다. 이는 참조 영상의 분위기를 원본 영상에 반영하는 기법이다. 본 논문에서는 채도가 낮은 색상에서 나타나는 잘못된 연산 결과를 해결하기 위해 채도 문턱치에 따라 유채색과 무채색으로 분류하여 인덱싱 하고, Lab색 모델에서 색상 채널인 a, b를 사용하여 그림 영상에서의 색 변환하는 방법을 제안한다. 제안된 방법은 영상의 화소들의 채도 문턱치를 이용하여 유채색과 무채색으로 분류하는 단계, 분류된 화소들의 색 특성을 이용한 cylindrical metric를 이용한 인덱싱 하는 단계, 각 인덱스 내의 위치적 표준편차와 화소수를 이용하여 인덱스들의 우열을 가리는 단계, 인덱스들의 우세한 순서로 Lab 색 모델에서 a 채널과 b 채널을 이용하여 색 변환하는 단계 등 4단계로 구성된다. 실험결과는 제안한 방법이 무채색과 유채색이 잘 분류되어 인덱싱 되었음을 보이고 원본 영상의 색이 참조영상의 색으로 잘 변환된 것을 보인다.

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이미지의 색도 분포를 고려한 다중 Retinex 기반의 칼라 향상 기법 (Color image enhancement method based on multi-scaled retinex considering chromatic distribution of input image)

  • 장인수;박기현;하영호
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.845-846
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    • 2008
  • Multi-scaled retinex algorithm is generally used to enhance the local contrast and remove the illuminant component. However, if the chromatic distribution of an original image is not uniform and dominated by a certain chromaticity, the chromaticity of resulting image depends on the dominant chromaticity of the original image, thereby inducing the color distortion. In this paper, a modified multi-scaled retinex method to reduce the influence of the dominant chromaticity in the image is proposed using a average chromaticity of original image and global illuminant chromaticity. In addition, to compensate saturation, the chroma value of the resulting image is enhanced based on that of the original image in the CIELAB space.

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성인 여성의 성역할 태도와 의복디자인에 나타난 음양특성에 관한 연구 (A Study on Sex-role Attitudes of Women and Yin-Yang characteristics in clothing design)

  • 이선재
    • 복식
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    • 제29권
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    • pp.71-83
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    • 1996
  • The purpose of this study was 1) to investi-gate the trends of sex-role attitudes of women and 2) to examine the relations between sex-role attitudes and Yin-yang characteristics in clothing design. The survey was conducted among 317 women in Seoul and Kyunggi province. The results were as follows: 1) Androgynious gender and masculine gen-der with sex-role attitudes are strongly ap-peared among the low-age university students and not-married group. 2) Yang characteristics with light and cool-warm color to the clothing color and with clothing design are strongly appeared ming the low-age university students and not-mar-ried group. 3) Masculine attitude with clothing design preference attitudes are strongly appeared among the low-ager university students and not-married group. Many persons appeared to have feminine attitude rather than in andro-gynious attitude. 4) There are significant differences between sex-role attitudes and yin-yang characteristics to the clothing design. A high level of mascu-line gender is storngly indicated the yang characteristics with saturation to the clothing colorand and with clothing design 5) There are significant differences between sex-role attitudes and clothing design prefer-ence attitudes.

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가우스 분류기를 이용한 입술영역 추출 (Lip Region Extraction by Gaussian Classifier)

  • 김정엽
    • 한국멀티미디어학회논문지
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    • 제20권2호
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    • pp.108-114
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    • 2017
  • Lip reading is a field of image processing to assist the process of sound recognition. In some environment, the capture of sound signal usually has significant noise and therefore, the recognition rate of sound signal decreases. Lip reading can be a good feature for the increase of recognition rates. Conventional lip extraction methods have been proposed widely. Maia et. al. proposed a method by the sum of Cr and Cb. However, there are two problems as follows: the point with maximum saturation is not always regarded as lips region and the inner part of lips such as oral cavity and teeth can be classified as lips. To solve these problems, this paper proposes a method which adopts the histogram-based classifier for the extraction of lips region. The proposed method consists of two stages, learning and test. The amount of computation is minimized because this method has no color conversion. The performance of proposed method gives 66.8% of detection rate compared to 28% of conventional ones.

화상 분석을 통한 선박 방오도료의 성능 평가 (Image Analysis Method for the Performance Evaluation of Marine Antifouling Coatings)

  • 박현;전호환;이인원
    • 한국가시화정보학회지
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    • 제11권2호
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    • pp.18-26
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    • 2013
  • An accurate and reliable performance evaluation technique is indispensable for the development of marine antifouling coatings. The existing standard practice is however, based on the visual observation of biofouling settlement area, which is prone to the subjective judgment of the inspector. In spite of the above mentioned importance, a systematic and objective fouling evaluation technique has not yet been introduced. In this study, a novel quantitative antifouling performance evaluation method for marine antifouling paints is devised based on the image analysis of panel immersion test results. The present image analysis method is to quantify settlement area for each fouling category by distinctive color. The fouling categories are set as unfouled, biofilm, green algae, brown algae, calcareous animal and spongy animal with specific HSL (Hue, Saturation, Lightness) color ranges. In order to assess the effectiveness of the proposed method, static immersion tests for three antifouling coatings were undertaken for two years.

A Tone Mapping Algorithm Based on Multi-scale Decomposition

  • Li, Weizhong;Yi, Benshun;Huang, Taiqi;Yao, Weiqing;Peng, Hong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권4호
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    • pp.1846-1863
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    • 2016
  • High dynamic range (HDR) images can present the perfect real scene and rich color information. A commonly encountered problem in practical applications is how to well visualize HDR images on standard display devices. In this paper, we propose a multi-scale decomposition method using guided filtering for HDR image tone mapping. In our algorithm, HDR images are directly decomposed into three layers:base layer, coarse scale detail layer and fine detail layer. We propose an effective function to compress the base layer and the coarse scale detail layer. An adaptive function is also proposed for detail adjustment. Experimental results show that the proposed algorithm effectively accomplishes dynamic range compression and maintains good global contrast as well as local contrast. It also presents more image details and keeps high color saturation.

An Intelligent Automatic Early Detection System of Forest Fire Smoke Signatures using Gaussian Mixture Model

  • Yoon, Seok-Hwan;Min, Joonyoung
    • Journal of Information Processing Systems
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    • 제9권4호
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    • pp.621-632
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    • 2013
  • The most important things for a forest fire detection system are the exact extraction of the smoke from image and being able to clearly distinguish the smoke from those with similar qualities, such as clouds and fog. This research presents an intelligent forest fire detection algorithm via image processing by using the Gaussian Mixture model (GMM), which can be applied to detect smoke at the earliest time possible in a forest. GMMs are usually addressed by making the model adaptive so that its parameters can track changing illuminations and by making the model more complex so that it can represent multimodal backgrounds more accurately for smoke plume segmentation in the forest. Also, in this paper, we suggest a way to classify the smoke plumes via a feature extraction using HSL(Hue, Saturation and Lightness or Luminanace) color space analysis.

딸기의 유통실태와 성숙중의 품질변화 (Circulation State of Strawberry and Quality Changes during Ripening)

  • 박인경;장경숙
    • 한국식품저장유통학회지
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    • 제1권1호
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    • pp.45-53
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    • 1994
  • Circulation state and changes in quality during ripening of strawberry were investigated. Tissue damage of the fruit happened when it was harvested and selected. Strawberry has been harvested without considering of fruit temperature in the farm. It takes 25 hours from Goreung which is main production area of strawberry to retailer, and seasonal variation in the price was severe. Shelf-life of strawberry from Feb to Mar was 5-6 days, and was 24-30 hours from May to June. Desirable ripening stage was 28-30th day after blooming and 40th day and after this was over ripening stage when the degree of ripening estimated by color "a" value and color saturation. Overall eating quality and vitamin C contents and sugar content were more higher in the fruit of the desirable ripening stage than that of unripening and over ripening stage. The dark redness degree was high in the over ripening stage.

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영상분할법을 이용한 강판상의 부식 감지 (Detection of corrosion on steel plate by using Image Segmentation Method)

  • 김범수;김연원;양정현
    • 한국표면공학회지
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    • 제54권2호
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    • pp.84-89
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    • 2021
  • The visual inspection method is widely used for corrosion damage analysis of steel plate due to the cost-efficient, fast and reasonably accurate results. However, visual inspection of corrosion deteriorated degree has a problem that the reliability of results differs depending on the inspector's individual knowledge and experience. In this study, we evaluated the degree of corrosion from a given image by using image segmentation method based on the grabcut and HSV(Hue, Saturation, Value) color image processing techniques for the development of an automatic inspection tool. The code written in Python based OpenCV-python libraries was used to categorize the images.