• Title/Summary/Keyword: Area color

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The Planning of Polyester Fabric Standard Color Collections in Daegu, Gyeongbuk (대구·경북지역 폴리에스테르 직물의 표준색표집 설계)

  • Lee, Kyung-Hee
    • Fashion & Textile Research Journal
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    • v.5 no.4
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    • pp.337-350
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    • 2003
  • Fiber industry is export leading industry that guide national economy development after the 1960s in Korea. But lately, including China and Southeast Asia pursuit, domestic fiber industry is taking serious situation. Various kind methods can be proposed for high value added in fiber industry, the research about color is essential. The importance of color is increasing in modern textile and fashion industry. Color is important factor of textile and fashion industry because color affects strong influence in human's sensitivity. Color expresses by hue, value and chroma but fashion industry is using mainly hue and tone color system. Daegu Gyeongbuk area is domestic maximum syntheic fiber producing district. This study planned the polyester standard color collections for general color management of the polyester industry in Daegu Gyeongbuk. As basic research for this I investigated the color appearance distribution of polyester fabrics in Daegu Gyeongbuk that were produced for the recently 10 years and Japanese polyester color collections "SCOTDIC 2450". Reflect these study finding, in this research planned the usable standard color collections "Hue and Tone Polyester Standard Color 288". This research constructs insufficient domestic color infrastructure and expect that basic role to develop the competitive power for Korean fiber industry.

Traffic Sign Area Detection by using Color Rate and Distance Rate (컬러비와 거리비를 이용한 교통표지판 영역추출)

  • Kwak, Hyun-Wook;Lee, Woo-Beom;Kim, Wook-Hyun
    • The KIPS Transactions:PartB
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    • v.9B no.5
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    • pp.681-688
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    • 2002
  • This paper proposes a system detecting the area of traffic sign, which uses color rate as the information of colors, and corner point and distance rate as the information of morphology. In this system, a candidate area is extracted by performing dilation operation on the binary image made by the color rate of R, G, B components and by detecting corner point and center point through mask. The area of traffic sign with varied shapes is extracted by calculating the distance rate from center point, which is the information of morphology. The results of this experiment demonstrate that in this system which is invariable regardless of its size and location, it is possible to extract the exact area from varied traffic signs such as the shapes of triangle, circle, inverse triangle, and square as well as from the images at both day and night when brightness value is greatly different. Moreover, it demonstrates great accuracy and speed in processing.

Extraction of Blood Flow of Brachial Artery on Color Doppler Ultrasonography by Using 4-Directional Contour Tracking and K-Means Algorithm (4 방향 윤곽선 추적과 K-Means 알고리즘을 이용한 색조 도플러 초음파 영상에서 상환 동맥의 혈류 영역 추출)

  • Park, Joonsung;Kim, Kwang Baek
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.11
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    • pp.1411-1416
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    • 2020
  • In this paper, we propose a method of extraction analysis of blood flow area on color doppler ultrasonography by using 4-directional contour tracking and K-Means algorithm. In the proposed method, ROI is extracted and a binarization method with maximum contrast as a threshold is applied to the extracted ROI. 4-directional contour algorithm is applied to extract the trapezoid shaped region which has blood flow area of brachial artery from the binarized ROI. K-Means based quantization is then applied to accurately extract the blood flow area of brachial artery from the trapezoid shaped region. In experiment, the proposed method successfully extracts the target area in 28 out of 30 cases (93.3%) with field expert's verification. And comparison analysis of proposed K-Means based blood flow area extraction on 30 color doppler ultrasonography and brachial artery blood flow ultrasonography provided by a specialist yielded a result of 94.27% accuracy on average.

A Pixel Structure for Reflective Color TFT-LCDs with 27-color in Still-Image

  • Jang, Dae-Jung;Sung, Yoo-Chang;Kwon, Oh-Kyong;Kim, Hyun-Jae
    • 한국정보디스플레이학회:학술대회논문집
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    • 2002.08a
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    • pp.153-156
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    • 2002
  • We have developed a pixel structure for reflective color TFT-LCD which can display 27-color in still-image. The proposed pixel can display 3 gray scale in still image; white, black and median gray. This paper shows the concept and the driving method of the proposed pixel. Finally this paper compares power consumption and area with the Toshiba's DMOG technology.

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Skin Tone Enhancement Based on Human Favorite Skin Color (인간의 선호 피부색에 기반한 Skin Color Enhancement)

  • 김문철;오재환
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.5-8
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    • 2002
  • The paper handles a skin tone enhancement within digitalized images, which is based on human favorite skin color. To archive a human-favorite skin tone area, lots of observers are participated in visual experiments. The statistical result of the visual experiment was reflected in a proposed skin tone enhancement algorithm and gives more reasonable human-friendly skin color reproduction on a display device. This research was accomplished to implement in our DTV related application.

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Determination of threshold values for color image segmentation (색도 영상분할을 위한 문턱치 결정방법)

  • 이병욱
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.4
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    • pp.869-875
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    • 1996
  • This paper investigates a method for dtermining a threshold value based on the probability distribution function for color image segmentation. Principal components of normalized color is nalyzed and found that there are effective color transforms for outdoor scents. We esplain the functional relationship of the treshold and the probability of a regiona detection, asuming bivarate Gaussian probability density function. Experimental results show that the probability of detection is proportional to the segmented area.

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The study on prevalence of color vision loss by residential difference of children (지역에 따른 어린이 색각이상의 유병율에 관한 연구)

  • Yu, Seungdo;Kim, Dae-Seon;Lee, Eun-Hee
    • Journal of Korean Ophthalmic Optics Society
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    • v.10 no.4
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    • pp.329-337
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    • 2005
  • This study investigated prevalence of color vision loss different from children's residence. The study subjects are 3 to 6 grade's children of elementary school in four areas. The blood lead and urinary mercury were analysed using Atomic Absorption Spectroscopy. All of participations' blood lead and urine mercury concentration were below suggested level of concern such as criteria by CDC and ATSDR. Color vision was assessed by the Lanthony D-15 desaturated panel. Color vision loss was quantitatively established by the Color Confusion Index (CCI) and qualitatively classified by type of acquired dyschromatopsia according to Verriest's classification. The prevalence of color vision loss and CCI value for children in industrial area was significantly higher than other areas(p<0.05). However blood lead and urinary mercury concentration level was not correlated to the color vision loss. Therefore we believed that other environmental neurotoxic substance except metal had an effects on color vision loss for children in industrial area.

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A Study on Bedclothes Design Preferences and Purchase Motives (침구류 디자인 선호도와 구매동기에 관한연구 -색과무늬를 중심으로-)

  • 이명희
    • Journal of the Korean Society of Costume
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    • v.35
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    • pp.181-193
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    • 1997
  • The objectives of this study were to classify bedclothes purchase motives and to examine how bedclothes purchase mo-tives and design preferences very accord-ing to age and income. Samples were 217 housewives residing in metropolitan area. Questionnaire included 17 Likert type items of bedclothes pur-chase motive measure 12 items of color preference 7 items of pattern (floral geo-metric abstract stripe plaid polka dot, and paisley pattern). The results of the study were as fol-lows. 1. 5 factors of bedclothes purchase mo-tives were derived by factor analysis ; F .1 'design': F 2. "brand' ; F.3. 'deficiency'; F. 4. 'fabric' F.5. 'economical reason' 2. Subjects perceived design and utility area to be important motives for bed-clothes purchase. 3. Cholor preference of bedclothes was in the order of white pale blue pale green and pale orange. Pattern preference was in the order of stripe plaid solid color floral and polka dot pattern. The combi-nation of patterned fabric and solid color fabric was liked better than the combina-tion of analogic color and the combination of contrasting color. 4. The women in their 20's liked navy blue red stripe plaid pattern and solied color better than 30's and 40's . 40's liked abstract and paisley pattern better then 20's and 30's 5. Low income group lied navy blue and solid color fabric more than the mid-dle and high income group and liked ab-stract pattern less than the middle and high income group. 6. Women in their 20's perceived design to be important motive more than 30's and 40's. 30's perceived brand to be im-portant motive than 20's and 40's 7. High income group perceived design to be important motive more than the middle and low income group. Low in-come group perceived brand and fabric to be less important motives than the middle and high income group, The present findings provide that age and income had a significant effect on bedclothes purchase motives and design preferences of houesewives. The results that white color and the combination of patterned fabric and solid color fabric were liked best indicated that women prefered clean image and chacteristics de-sign of bdeclothes.

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Real-Time Object Tracking Algorithm based on Adaptive Color Model in Surveillance Networks (서베일런스 네트워크에서 적응적 색상 모델을 기초로 한 실시간 객체 추적 알고리즘)

  • Kang, Sung-Kwan;Lee, Jung-Hyun
    • Journal of Digital Convergence
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    • v.13 no.9
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    • pp.183-189
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    • 2015
  • In this paper, we propose an object tracking method using the color information of the image in surveillance network. This method perform a object detection using of adaptive color model. Object contour detection plays an important role in application such as object recognition. Experimental results demonstrate successful object detection over a wide range of object's variation in color and scale. In applications to detect an object in real time, when transmitting a large amount of image data it is possible to find the mode of a color distribution. The specific color of an object is modified at dynamically changing color in image. So, this algorithm detects the tracking area information of object within relevant tracking area and only tracking the movement of that object.Through experiments, we show that proposed method is more robust than other methods under certain ideal situations.

The Detection Scheme of Graph Area from Sea Level Measurements Recording Paper Images (조위관측기록지 이미지에서 그래프 영역 검출 기법)

  • Yu, Young-Jung;Kim, Young-Ju;Park, Seong-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.11
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    • pp.2555-2562
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    • 2010
  • In this paper, we propose the method that extracts sea level measurements graph from the sea level measurements recording paper image with a little interaction. At first, a pixel that is included in the graph area is selected. Then, background pixels are automatically determined using the distance between a selected pixel and other pixels on LAB color space. In each vertical line, a pixel that is the nearest to the selected pixel on LAB color space is extracted and the graph area is determined using that pixels. Experimental results show that the sea level measurements graph can be extracted with a few interaction from the various sea level measurements recording paper images.