• Title/Summary/Keyword: Color identification

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A Study on Color Reliability of New Combat Uniform Fabrics through Quantitative Analysis of the Color and Color Fastness to Washing (색상 및 세탁견뢰도의 정량적 분석을 통한 신형 전투복 원단의 색상신뢰성 연구)

  • Hong, Seong-don;Kim, Byung-Soon;Jang, Yeonju;Lee, Jung Soon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.40 no.3
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    • pp.456-464
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    • 2016
  • A new combat uniform is improved for added combat safety with various functions such as survivability, battle conformity and a camouflage performance system. Camouflage performance is an important factor in terms of combat survivability since it makes identification difficult and provide security. The combat uniform is worn under extreme conditions (exposure to ultraviolet light, sweat and friction) and an excellent color fastness to repeated washing is required. In this study, we investigated the color management, durability and discoloration of new combat uniform fabric with a digital pattern for camouflage performance to provide preliminary color management data. We examined color differences between standard fabric and mass-produced combat uniform fabrics, color differences between each military supply contract firm and color changes in combat uniforms after 60 washing cycles. The slight color differences between standard fabric and mass-produced combat uniform fabrics were tolerable under quality criteria of Republic of Korea Ministry of National Defense. However, the differences between the military supply contract firms were recognizable to the naked eye and increased with repeated washing. Continuous research on color fastness under repeated washing and color management is required to standardize reliability from each military supply contract firm for the daytime performance of a combat uniform's camouflage.

A study on the emotional identification lighting of AtoN facility by LED (LED에 의한 항로표지 시설의 감성식별 조명에 대한 연구)

  • Oh, Jin-Seong;Choi, Jo-Cheon
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2010.04a
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    • pp.145-147
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    • 2010
  • This study is the visually emotional identification lighting for easy to distinguish using 3colors LED on AtoN facility in shore and harbor, which have realized a controller for certainly express the mouth of a harbor by red light and green light of both sides a harbor and for synchronization at a time of right and left or serial sequential the harbor guidance light through synchronizer or timer by GPS. There is expectation effect that is prevent a confusion about distinguish of facility by ship's operator and to beautify a night scene of harbor, which is expressed to emotional identification lighting differ from great many lighting of harbor with variable color lighting the lighthouse body and vertical layer color lighting using LED. The function of AtoN is adapted that guidance light through synchronization or serial sequential lighting and display of harbor safety message by CW lighting, and this system is the power consumption greatly reduce by candle alternated high light LED.

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Effect of Low Temperature Plasma Pretreatment on the Color Depth of Wool Fabrics (양모직물의 염착농도에 미치는 저온플라즈마 처리의 영향)

  • 배소영;이문철
    • Textile Coloration and Finishing
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    • v.4 no.2
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    • pp.76-83
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    • 1992
  • Wool tropical and nylon taffeta were treated with low temperature plasma of $O_2$, $N_2$, NH$_3$, CF$_4$ and CH$_4$ for the intervals of 10 to 300 sec, and then dyed with leveling and milling type acid dyes in presence or absence of buffer solution. From the color depth of dyed fabrics, effect of plasma gases, treated time, dyeing time and temperature on dyeing property was studied. The results of the experiment can be summarized as follows: 1) The plasma treatments except methane gas increased the color depth of dyed wool fabrics, but not that of dyed nylon fabrics regardless of the plasma gases used. 2) The color depth of wool fabrics dyed in the dye bath without buffer solution was increased by the low temperature plasma, especially increased much more by CF$_4$ plasma treatment. It is found that with the identification of F- ion in the residual dye bath the hydrogen fluoride gas was adsorbed on wool fabrics in the plasma treatment. 3) The color depth of wool fabrics was increased with the time of $O_2$ and CF$_4$ plasma treatments. 4) In both cases of the leveling and milling type acid dyes, the rate of dyeing was increased in the low temperature plasma treatments, and it is found that the leveling type acid dye increased the color depth at relatively low temperature below 4$0^{\circ}C$, compared with the milling type acid dye.

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Color Noise Detection and Image Restoration for Low Illumination Environment (저조도 환경 기반 색상 잡음 검출 및 영상 복원)

  • Oh, Gyoheak;Lee, Jaelin;Jeon, Byeungwoo
    • Journal of Broadcast Engineering
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    • v.26 no.1
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    • pp.88-98
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    • 2021
  • Recently, the crime prevention and culprit identification even in a low illuminated environment by CCTV is becoming ever more important. In a low lighting situation, CCTV applications capture images under infrared lighting since it is unobtrusive to human eye. Although the infrared lighting leads to advantage of capturing an image with abundant fine texture information, it is hard to capture the color information which is very essential in identifying certain objects or persons in CCTV images. In this paper, we propose a method to acquire color information through DCGAN from an image captured by CCTV in a low lighting environment with infrared lighting and a method to remove color noise in the acquired color image.

On the Cultural Characteristics and Wood-Decayedness of Wood-Decaying Fungi in Korea (목재부후균의 배양적 특성과 부후성에 관한 연구)

  • 윤정구;홍순우;백수봉
    • Korean Journal of Microbiology
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    • v.19 no.3
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    • pp.128-136
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    • 1981
  • In order to investigate early identification of species of the wood-decaying fungi in the the mycelial stage, the authors isolated of 41 species, 28 genus, 9 family at 8 locations in Korea and cultivated these isolates on the various kinds of solid media. After investigating such cultural characteristics as oxidase reactions with tannic and gallic acid, various morphological features of colony and growth grade, appeared on the various media, the authors obtained the following results : 1. The oxidase reactions with tannic and gallic acid in the PDTA, DTA, PDGA and DGA media are available for identificantion of the wood-decaying fungi. 2. The oxidase reactions with guaiacol, pyrogallol and hydroquinone in the PDGUA, PDPA and PDHA media are not so much available for identification of the wood-decaying fungi. 3. Morphological features of colonies such as mycelium color, floccose, floccose-powdery, mycelloid, powdery-mycelloid, velvet, radiate, contoured, rosulate and growth grade on the PDA, PSA and PXA media are useful for identification of wood-decaying fungi. 4. It is believed that early identification in species level of wood-decaying fungi using cultural characteristics in the mycelial stage is possible. 5. The key for the identification of 41 species of wood-decaying fungi is proposed by the cultural characteristics using several solid media.

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Classifier Combination Based Source Identification for Cell Phone Images

  • Wang, Bo;Tan, Yue;Zhao, Meijuan;Guo, Yanqing;Kong, Xiangwei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.12
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    • pp.5087-5102
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    • 2015
  • Rapid popularization of smart cell phone equipped with camera has led to a number of new legal and criminal problems related to multimedia such as digital image, which makes cell phone source identification an important branch of digital image forensics. This paper proposes a classifier combination based source identification strategy for cell phone images. To identify the outlier cell phone models of the training sets in multi-class classifier, a one-class classifier is orderly used in the framework. Feature vectors including color filter array (CFA) interpolation coefficients estimation and multi-feature fusion is employed to verify the effectiveness of the classifier combination strategy. Experimental results demonstrate that for different feature sets, our method presents high accuracy of source identification both for the cell phone in the training sets and the outliers.

Identification for the Vivid Yellow Diamonds (비비드 옐로우 다이아몬드의 감별 방안 연구)

  • Song, Jeongho;Yun, Yury;Song, Ohsung
    • Journal of the Korean Ceramic Society
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    • v.49 no.6
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    • pp.493-497
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    • 2012
  • We propose a new reliable, fast, and low cost identification method for similarly looking 0.3ct vivid yellow color of natural, HPHT treated, and synthesized diamonds. Conventional optical microscopy as well as low temperature PL(photoluminescence), FT-IR, UV-VIS-NIR, micro-Raman spectroscopy, and vibrating sample magnetometry(VSM) characterization were executed. We could not distinguish the natural diamonds from the treated or the synthesized stones with an optical microscopy, PL, FT-IR, and UV-VIS-NIR spectroscopy. However, we could identify the treated diamond with micro-Raman spectroscopy due to unique $1440cm^{-1}$ peak appearance. VSM revealed easily the synthesized diamond because of its ferromagnetic behavior. Our preliminary propose on employing the Micro-Raman spectroscopy and VSM might be suitable for identification of the similar looking vivid yellow colored diamonds.

Human Face Identification using KL Transform and Neural Networks (KL 변환과 신경망을 이용한 개인 얼굴 식별)

  • Kim, Yong-Joo;Ji, Seung-Hwan;Yoo, Jae-Hyung;Kim, Jung-Hwan;Park, Mignon
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.1
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    • pp.68-75
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    • 1999
  • Machine recognition of faces from still and video images is emerging as an active research area spanning several disciplines such as image processing, pattern recognition, computer vision and neural networks. In addition, human face identification has numerous applications such as human interface based systems and real-time video systems of surveillance and security. In this paper, we propose an algorithm that can identify a particular individual face. We consider human face identification system in color space, which hasn't often considered in conventional in conventional methods. In order to make the algorithm insensitive to luminance, we convert the conventional RGB coordinates into normalized CIE coordinates. The normalized-CIE-based facial images are KL-transformed. The transformed data are used as the input of multi-layered neural network and the network are trained using error-backpropagation methods. Finally, we verify the system performance of the proposed algorithm by experiments.

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DNA Barcoding of a Colonial Ascidian, Botrylloides violaceus (Ascidiacea: Stolidobrachia: Styelidae), from South Korea

  • Lee, Taekjun;Shin, Sook
    • Animal Systematics, Evolution and Diversity
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    • v.37 no.1
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    • pp.26-30
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    • 2021
  • Botrylloides violaceus is native to the Northwest Pacific, including Korea. This species has many color variations in alive condition and a variety of zooid compound forms, and therefore difficult to identification in the field survey. This is the first report of COI DNA barcodes of B. violaceus from Korea. The intra-specific pairwise distance between Korean and UK populations had ranged from 1.4% to 2.6%. The inter-specific variations between B. violaceus and other Botrylloides species were 21.0-36.8%. The new DNA barcodes for Korean B. violaceus may be helpful in the identification of colonial ascidians, which is a difficult task when based on morphological identification.

A Novel Color Conversion Method for Color Vision Deficiency using Color Segmentation (색각 이상자들을 위한 컬러 영역 분할 기반 색 변환 기법)

  • Han, Dong-Il;Park, Jin-San;Choi, Jong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.48 no.5
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    • pp.37-44
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    • 2011
  • This paper proposes a confusion-line separating algorithm in a CIE Lab color space using color segmentation for protanopia and deuteranopia. Images are segmented into regions by grouping adjacent pixels with similar color information using the hue components of the images. To this end, the region growing method and the seed points used in this method are the pixels that correspond to peak points in hue histograms that went through a low pass filter. In order to establish a color vision deficiency (CVD) confusion line map, we established 512 virtual boxes in an RGB 3-D space so that boxes existing on the same confusion line can be easily identified. After that, we checked if segmented regions existed on the same confusion line and then performed color adjustment in an CIE Lab color space so that all adjacent regions exist on different confusion lines in order to provide the best color identification effect to people with CVDs.