• 제목/요약/키워드: value contrast

검색결과 1,405건 처리시간 0.035초

명도 콘트라스트 배색에 따른 스트라이프 의복 착용자의 이미지 연구 (The Image of the Stripe Clothes according to Value Contrast Coloration)

  • 문주영;강경자
    • 복식문화연구
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    • 제16권6호
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    • pp.992-1007
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    • 2008
  • This study was meant to offer the data for predicting the product plan answering the diverse demands for consumers based on the results of analyzing the image and formative property by transforming the stripe patterns. The concrete study way is composed of the collected stimulus centering on the interval of the stripe pattern and value contrast coloration. Consequently 192 stimuli, changed by the pattern direction and pattern interval, clothing style, and contrast coloration, are selected. The experimental materials made for this study are a set of stimuli and response scale. The statistics way used in analysis was factor analysis, ANOVA, dispersion analysis, multiple classification analysis. The results of this study were summed as following. Firstly, In the value contrast, a pair of 27 adjectives were made of attractiveness, activeness, gracefulness, visibility, and tenderness dimension. Secondly, the direction of the pattern, interval, clothing style, and contrast coloration were respectively transformed according to value contrast.

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특이값 분해와 영상 피라미드를 이용한 대비 향상 알고리듬 (Contrast Enhancement Algorithm Using Singular Value Decomposition and Image Pyramid)

  • 하창우;최창렬;정제창
    • 한국통신학회논문지
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    • 제38A권11호
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    • pp.928-937
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    • 2013
  • 본 논문은 특이값 분해와 영상 피라미드를 이용한 새로운 대비 개선 방법을 제안한다. 제안된 방법은 다음과 같이 네 단계로 진행 된다. 먼저 전역 명암대비와 지역적 디테일을 향상시키기 위해 영상 피라미드를 이용하여 영상을 기저영상과 세부영상들로 분해한다. 전역 명암대비 향상은 특이값 분해를 이용하여 영상 전체의 명암대비를 향상시키고, 지역적 디테일 향상은 가중치를 이용하여 개선시킨다. 영상 합성은 영상의 컬러 일관성을 유지하기 위해 컬러와 명암성분들을 결합한다. 실험 결과를 통해 제안된 방법은 기존의 방법들보다 영상의 세부 정보를 강화하면서 전체적인 명암대비 개선을 보인다.

텍스타일 디자인 요소에 따른 감성 분석 (Sensibilities according to The Design Factors of Woven Textiles)

  • 나영주;한경미
    • 감성과학
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    • 제5권3호
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    • pp.29-34
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    • 2002
  • This study aimed to investigate the effect of design factors of woven textiles on the consumer's sensibility and emotion. 60 textile design pictures and 18 adjectives were prepared to get responses from 512 adult subjects. Textiles designs were analyzed into 9 design factors, such as, motif source, motif-background ratio, motif interpretation, motif arrangement, motif variation, motif articulation, hue contrast, value contrast, and chroma contrast. The results are followings: 1) The design factors of textiles were connected to other design factors, for example, the type of motif interpretation determined the type of chroma contrast, motif source, the ratio, and chroma contrast significantly. 2) The correlational coefficients of the ratio, motif variation, chroma contrast, hue contrast, articulation, and value contrast were positively signed significantly. 3) Consumer's sensibility was changed in urban, natural, graceful, mannish, young, dynamic, new, modem and etc, as the textile designs were changed in motif source, arrangement, hue contrast and etc.

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The efficacy of the reverse contrast mode in digital radiography for the detection of proximal dentinal caries

  • Miri, Shimasadat;Mehralizadeh, Sandra;Sadri, Donya;Motamedi, Mahmood Reza Kalantar;Soltani, Parisa
    • Imaging Science in Dentistry
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    • 제45권3호
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    • pp.141-145
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    • 2015
  • Purpose: This study evaluated the diagnostic accuracy of the reverse contrast mode in intraoral digital radiography for the detection of proximal dentinal caries, in comparison with the original digital radiographs. Materials and Methods: Eighty extracted premolars with no clinically apparent caries were selected, and digital radiographs of them were taken separately in standard conditions. Four observers examined the original radiographs and the same radiographs in the reverse contrast mode with the goal of identifying proximal dentinal caries. Microscopic sections $5{\mu}m$ in thickness were prepared from the teeth in the mesiodistal direction. Four slides prepared from each sample used as the diagnostic gold standard. The data were analyzed using SPSS (${\alpha}=0.05$). Results: Our results showed that the original radiographs in order to identify proximal dentinal caries had the following values for sensitivity, specificity, positive predictive value, negative predictive value, and accuracy, respectively: 72.5%, 90%, 87.2%, 76.5%, and 80.9%. For the reverse contrast mode, however, the corresponding values were 63.1%, 89.4%, 87.1%, 73.5%, and 78.8%, respectively. The sensitivity of original digital radiograph for detecting proximal dentinal caries was significantly higher than that of reverse contrast mode (p<0.05). However, no statistically significant differences were found regarding specificity, positive predictive value, negative predictive value, or accuracy (p>0.05). Conclusion: The sensitivity of the original digital radiograph for detecting proximal dentinal caries was significantly higher than that of the reversed contrast images. However, no statistically significant differences were found between these techniques regarding specificity, positive predictive value, negative predictive value, or accuracy.

Regional Contrast Enhancement for Local Dimming Backlight on Small-sized Mobile Display

  • Chung, Jin-Young;Kim, Ki-Doo
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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    • pp.972-974
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    • 2009
  • This paper presents smart regional contrast enhancement technique of partitioned image for local dimming backlight on small-sized mobile display to reach two goals. One is to save the power consumption, and the other to improve contrast ratio of display image. Recently new advanced method is proposed, named local dimming method, that backlight LED is positioned on backside of the display panel. So it is important to partition an image by sub blocks and then post-processing independantly. This means regional contrast enhancement. After partitioning, we compare the mean luminance(Y) value of each sub-block image with the one of original whole image. If some blocks have the mean value lower than the one of whole image, they are processed with the proposed method and others are bypassed. Simultaneously the information of the processed blocks are transferred to BLC(Backlight LED Controller). And then the supply current of each backlight LED is reduced to realize the contrast ratio enhancement and at the same time to power consumption reduction. In addition, we verify this proposed method is free from blocking artifacts.

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토끼 뇌감염 모델의 CT 소견과 조영제 주입 후 동맥혈의 Hounsfield Unit의 변화 (CT Scan Findings of Rabbit Brain Infection Model and Changes in Hounsfield Unit of Arterial Blood after Injecting Contrast Medium)

  • 하본철;곽병국;정지성
    • 한국콘텐츠학회논문지
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    • 제12권9호
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    • pp.270-279
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    • 2012
  • 토끼 뇌에 대장균을 주입하여 CT 소견을 알아보고, 시간에 따른 동맥혈의 하운스필드 값의 변화를 알아보고자 하였다. 토끼 두개관에 천두공(burr hole)을 뚫고 2~3 mm 깊이에 대장균 $1{\times}10^7$ CFU/ml, 0.1 ml을 주입하여 뇌염증 모델을 제작하고, 조영 증강 CT와 동적 CT, 그리고 동맥혈의 CT영상을 얻었다.조영 증강 CT에서 뇌농양, 뇌실염 그리고 뇌막염등 다양한 뇌염증 소견이 보였다. 뇌농양은 중앙부가 거의 조영되지 않고 주변부가 강하게 조영되는 전형적인 양상을 보였고, 뇌실염은 측뇌실 벽을 따라 강하게 조영되는 소견을 보였으며, 뇌막염은 종뇌와 간뇌의 접히는 부위 뇌막이 강하게 조영되었다. 동적 CT영상에서 염증 중앙부의 조영제 주입 전 HU 값은 $31.01{\pm}3.55$였고, 주입 후 10분까지 $40.36{\pm}3.76$으로 서서히 증가하였다. 그리고 염증 가장자리구역에서 HU 값은 조영제 주입 전에 $47.23{\pm}3.12$였고, 조영제 주입 후 약 45초에 $63.59{\pm}3.31$로 가장 많이 증가 하였으나 이후 20분까지 약간 떨어졌다. 또한 균 주입 반대쪽 정상 뇌조직에서 측정한 HU 값은 조영제 주입 전에 $39.01{\pm}3.24$이었고, 조영제 주입 후 약 30초에 $49.01{\pm}4.29$로 가장 많이 조영되었고, 이후 서서히 낮아졌다. 동맥 혈액 CT에서 조영제 주입 전 HU 값은 $87.78{\pm}6.88$이었고, 조영제 주입 후 10초부터 30초까지 급격히 증가하여 $749.13{\pm}98.48$로 최대값을 보이고, 30초부터 45초까지 $467.85{\pm}62.98$로 급격히 감소하며, 45초에서 60초까지는 정체기(plateau)를 보였으며, 이후 20분까지 $188.28{\pm}25.03$으로 감소되었다. 결과적으로 대장균으로 뇌염증 모델을 만들 수 있고, 조영 증강 CT를 통하여 뇌염증의 특징적인 소견을 잘 알 수 있었으며, 동적 CT를 통해 염증 중앙부와 가장자리구역의 조영 양상을 알 수 있고, 동맥혈은 조영제 주입 후 10초부터 30초 까지 급격히 증가하다 정체기를 거쳐 서서히 감소하는 것으로 나타났다.

Contrast-Detail Phantom을 이용한 CR에서 Image Plate의 사용 횟수에 따른 Contrast-Detail Curve의 변화

  • 이승철;박장흠;김재동;박창현
    • 대한디지털의료영상학회논문지
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    • 제7권1호
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    • pp.7-13
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    • 2005
  • Purpose : Image plate (IP) is substituted for film in computed radiography. This study is to investigate into a variation of contrast and detail by the number used of image plate in computed radiography. Materials and Methods : A Contrast-Detail(CD)-RAD 2.0 phantom(Nijmegen hospital, The Netherlands) was used for this study. The computed radiography(CR) CD-RAD phantom images were acquired at 40 kVp, 160 mA, 1.6 mAs, and small focus with the Shimadzu general radiography UD-150B-10 system and Fuji FCR 5000 image process system with speed of 200. The IP used including once, 5000 times, and 10000 times also was used. The numerical value of image quality figures (IQF) was produced by CD-RAD analyser(the program is installed in the directory), and then contrast-detail curve was drawn. Results : In this study, the value of IQF was 3.53 in IP used once, 3.40 in 5000 times, and 3.22 in 10000 times. Conclusions : There was a variation of contrast-detail curve by the number used of IP with contrast-detail phantom in computed radiography. Therefore, it is necessary that the IP with lower IQF and a shift of contrast-detail curve to the lower left part is used.

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초저속 전송을 위한 영역간의 대조 차를 이용한 계층적 영상 분할 (Hierarchical Image Segmentation Using Contrast Difference of Neighbor Regions for Very Low Bit Rate Coding)

  • 송근원;김기석;박영식;하영호
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 1996년도 학술대회
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    • pp.175-180
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    • 1996
  • In this paper, a new image segmentation method based on merging of two low contrast neighbor regions iteratively is proposed. It is suitable for very low bit rate coding. The proposed method reduces efficiently contour information and preserves subjective and objective image quality. It consists of image segmentation using 4-level hierarchical structure based on mathematical morphology and 1-level region merging structure using the contrast difference of two adjacent neighbor regions. For each segmented region of the third level, two adjacent neighbor regions having low contrast difference value in fourth level based on contrast difference value is merged iteratively. It preserves image quality and shows the noticeable reduction of the contour information, so that it can improve the bottleneck problem of segmentation-based coding at very low bit rate.

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Adaptive Contrast Stretching for Land Observation in Cloudy Low Resolution Satellite Imagery

  • Lee, Hwa-Seon;Lee, Kyu-Sung
    • 대한원격탐사학회지
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    • 제28권3호
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    • pp.287-296
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    • 2012
  • Although low spatial resolution satellite images like MODIS and GOCI can be important to observe land surface, it is often difficult to visually interpret the imagery because of the low contrast by prevailing cloud covers. We proposed a simple and adaptive stretching algorithm to enhance image contrast over land areas in cloudy images. The proposed method is basically a linear algorithm that stretches only non-cloud pixels. The adaptive linear stretch method uses two values: the low limit (L) from image statistics and upper limit (U) from low boundary value of cloud pixels. The cloud pixel value was automatically determined by pre-developed empirical function for each spectral band. We used MODIS and GOCI images having various types of cloud distributions and coverage. The adaptive contrast stretching method was evaluated by both visual interpretation and statistical distribution of displayed brightness values.