• Title/Summary/Keyword: two-color method

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A Study on the One Bath Two Step Dyeing of Wool/Cationized Cotton Blends With Acid Dye/Direct Dye (양모/카티온화 면 혼방품의 산성염료/직접염료에 의한 1욕2단 염색에 관한 연구)

  • Sung, Woo-Kyung;Lee, Choon-Gil
    • Fashion & Textile Research Journal
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    • v.3 no.2
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    • pp.168-173
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    • 2001
  • In order to overcome the disadvantage of the conventional two bath dyeing method of wool/cotton blends, it had prompted significant effort to the development of the one bath dyeing method which can accomplish savings in energy, water usage and time. To improve the dyeability of cotton toward direct dyes in a non-electrolytic and acidic dyebath, cotton component was pretreated with cationizing agent containing chlorohydrine group in aqueous solution of sodium hydroxide. This study was carried out to investigate almost equal color strength between wool component and cationized cotton component when wool/cationized cotton blends was dyed with acid dye/direct dye by the one bath two step method in a non-electrolytic and acidic dyebath.

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Edge Extraction Method Based on Color Image Model (컬러 영상 모델에 기반한 에지 추출기법)

  • Kim Tae-Eun
    • Journal of Digital Contents Society
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    • v.4 no.1
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    • pp.11-21
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    • 2003
  • In computer vision, the goal of stereopsis is to determine the surface structure of real world form two or more perspective views of scene. It is similar to human visual system. We can avoid obstacles, recognize objects, and manipulate machine using three-dimensional information. Until recently, only gray-level images have been used as input to computation for depth determination, but the availability of color can further enhance the performance of computational stereopsis. There are many models to provide efficient color system. The simplest model, RGB model treats color as if it were composed of separate entities. Each color channel is processed individually by the same stereopsis module as used in the gray-level model. His Model decouples intensity component from color information. So it can deal with color properties without defect intensity information. Opponent color model is based on human visual system. In this model, the red-green-blue colors are combined into three opponent channels before further processing.

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A Study on Comparison Evaluation between Proof Test Prints and Domestic Offset Prints (교정 인쇄물과 국내 오프셋 인쇄물의 비교 평가에 관한 연구)

  • Oh, Seung-Jae;Cho, Ga-Ram;Koo, Chul-Whoi
    • Journal of the Korean Graphic Arts Communication Society
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    • v.29 no.2
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    • pp.15-32
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    • 2011
  • In printing, managing color means that how closely its color reproducts and printing supplier meets customers' requirements. When applying device profiles, it depends on properties of the devices. But color management of domestic digital prints is accomplished more scientifically and objectively than any other printing. According to this paper addresses a method of evaluating between proof prints and offset prints which are produced by identical date on the field. We evaluate two cases normal proof prints and domestic offset prints based on standardized color data analysis and subjective data analysis. We gathered objective data by measuring solid density, $CIEL^*a^*b^*$ and ${\Delta}E^{*_}{ab}$. Furthermore, we evaluated the offset prints and proof prints through human eyes to decide the ranking.

Management of Water Pumping System in Coastal Area of Jeju City Based on Coastal Landscape (제주시 해안경관을 고려한 해수인수관 관리방안)

  • Cho, Eun-Il;Lee, Byung-Gul
    • Journal of Environmental Science International
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    • v.15 no.9
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    • pp.871-880
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    • 2006
  • Water management treatment of coastal region has been an important problem in Jeju city since the distributions of pipeline of the pumping system made a bad view in coastal region. To solve the problem, we observed the pipelines that are on the surface around the coastal region from Tapdong to Doduhang. From the observations, we found that Todong and Dodu areas were not unsightliness because the all pipelines were located in underground. However, the other areas, such area Yongdam, Handugi, Yongdam fishing village, had a serious problem for the coastal landscape view. To solve the problem, at we estimated coastal land color characteristics of Jeju city based on the observation of the pipelines. The estimated color panel shows that the green, blue and grey colors are a dominant factors of the Jeju coastal region. Based on the color panel, we proposed two methods, that is, one is a short time treatment, the other is a long time one. The short is based on the colour treatment, which is pipeline colour changing into surround natural one. The long time is the construction plan design method. Although the later method was very useful in Jeju island. However, it takes a lot of time and money. Therefore, in the situation, the short time is the better than the long time one.

Color Correction for Uniformity Illumination using Multispectral Relighting (멀티스펙트럴 재조명을 이용한 균일 조명 색상 보정)

  • Sim, Kyudong;Park, Jong-Il
    • Journal of Broadcast Engineering
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    • v.22 no.2
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    • pp.207-213
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    • 2017
  • In order to accurately perform multispectral imaging using a multiplexed illumination, intensity of illumination in a scene must be uniform. For image acquisition that requires accurate color information, even if not multispectral imaging, the illumination information must be accurate, and a flat light source or illumination calibration is performed for accurate illumination characteristics. In this paper, we propose a method of color correction to uniformly illuminate an image with non-uniform illumination intensity. The proposed method uses multispectral imaging instead of illumination calibration for color correction. First of all, we perform multispectral imaging with two images obtained from non-uniformity illumination to acquire spectral reflectance. The obtained reflection spectrum is relit as the illumination characteristic of the image obtained from general planar light such as fluorescent light or sunlight. By comparing the image obtained by relighting with the uniformly illuminated image, the non-uniformity of the illumination is confirmed, and the color correction is performed as the image obtained from the uniform image. It is expected that the experimental results will confirm whether the non-uniformity of the illumination is uniformly corrected and reduce the restriction of illumination in obtaining the color information of the image.

A Simple Method for Evaluation of Pepper Powder Color Using Vis/NIR Hyperspectral System (Vis/NIR 초분광 분석을 이용한 고춧가루 색도 간이 측정법 개발)

  • Han, Koeun;Lee, Hoonsoo;Kang, Jin-Ho;Choi, Eunah;Oh, Se-Jeong;Lee, Yong-Jik;Cho, Byoung-Kwan;Kang, Byoung-Cheorl
    • Horticultural Science & Technology
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    • v.33 no.3
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    • pp.403-408
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    • 2015
  • Color is one of the quality determining factors for pepper powder. To measure the color of pepper powder, several methods including high-performance liquid chromatography (HPLC), thin layer chromatography (TLC), and ASTA-20 have been used. Among the methods, the ASTA-20 method is most widely used for color measurement of a large number of samples because of its simplicity and accuracy. However it requires time consuming preprocessing steps and generates chemical waste containing acetone. As an alternative, we developed a fast and simple method based on a visible/near infrared (Vis/NIR) hyperspectral method to measure the color of pepper powder. To evaluate correlation between the ASTA-20 and the visible/near infrared (Vis/NIR) hyperspectral methods, we first measured the color of a total of 488 pepper powder samples using the two methods. Then, a partial least squares (PLS) model was postulated using the color values of randomly selected 3 66 samples to predict ASTA values of unknown samples. When the ASTA values predicted by the PLS model were compared with those of the ASTA-20 method for 122 samples not used for model development, there was very high correlation between two methods ($R^2=0.88$) demonstrating reliability of Vis/NIR hyperspectral method. We believe that this simple and fast method is suitable for highthroughput screening of a large number of samples because this method does not require preprocessing steps required for the ASTA-20 method, and takes less than 30 min to measure the color of pepper powder.

A Robust Preconditioner on the CRAY-T3E for Large Nonsymmetric Sparse Linear Systems

  • Ma, Sangback;Cho, Jaeyoung
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.5 no.1
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    • pp.85-100
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    • 2001
  • In this paper we propose a block-type parallel preconditioner for solving large sparse nonsymmetric linear systems, which we expect to be scalable. It is Multi-Color Block SOR preconditioner, combined with direct sparse matrix solver. For the Laplacian matrix the SOR method is known to have a nondeteriorating rate of convergence when used with Multi-Color ordering. Since most of the time is spent on the diagonal inversion, which is done on each processor, we expect it to be a good scalable preconditioner. Finally, due to the blocking effect, it will be effective for ill-conditioned problems. We compared it with four other preconditioners, which are ILU(0)-wavefront ordering, ILU(0)-Multi-Color ordering, SPAI(SParse Approximate Inverse), and SSOR preconditioner. Experiments were conducted for the Finite Difference discretizations of two problems with various meshsizes varying up to 1024 x 1024, and for an ill-conditioned matrix from the shell problem from the Harwell-Boeing collection. CRAY-T3E with 128 nodes was used. MPI library was used for interprocess communications. The results show that Multi-Color Block SOR and ILU(0) with Multi-Color ordering give the best performances for the finite difference matrices and for the shell problem only the Multi-Color Block SOR converges.

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Estimation of Sea Surface Current Vector based on Satellite Ocean Color Image around the Korean Marginal Sea

  • Kim, Eung;Ro, Young-Jae;Ahn, Yu-Hwan
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.816-819
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    • 2006
  • One of the most difficult parameters to measure in the sea is current speed and direction. Recently, efforts are being made to estimate the ocean current vectors by utilizing sequential satellite imageries. In this study, we attempted to estimated sea surface current vector (sscv) by using satellite ocean color imageries of SeaWifs around the Korean Peninsula. This ocean color image data has 1-day sampling interval and spatial resolution of 1x1 km. Maximum cross-correlation method is employed which is aimed to detect similar patterns between sequential images. The estimated current vectors are compared to the surface geostrophic current vectors obtained from altimeter of sea level height data. In utilizing the color imagery data, some limitations and drawbacks exist so that in warm water region where phytoplankton concentration is relatively lower than in cold water region, estimation of sscv is poor and unreliable. On the other hand, two current vector fields agree reasonably well in the Korean South Sea region where high concentration of chlorophyll-a and weak tide is observed. In the future, with ocean color images of shorter sampling interval by COMS satellite, the algorithm and methodology developed in the study would be useful in providing the information for the ocean current around Korean Peninsula.

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A Study on the Color Granite Fabrication by Bias Enhancement Method (바이어스 인가 방식에 의한 컬러 화강석 제조에 관한 연구)

  • Park, Jong Kug;Shin, Hong-Jik;Choi, Won Seok;Han, Jae Chan
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.29 no.4
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    • pp.247-249
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    • 2016
  • In this study, we investigated the color change of the normal light gray granite as the high value color granite. By coating the metal catalyst liquid on the surface of granite stone, the metal particles were penetrated into the granite and the color of granite was changed permanently through the annealing treatment. To increase penetration depth into the granite, we used DC (direct current) bias. Two kinds of bias were used such as DC bias and pulse DC bias. And the penetration time was changed as 30 and 60 min. In all cases, the color granite were successfully obtained. Regardless of the catalyst reaction time, the penetration depth was increased by using the bias treatment. We obtained a penetration depth of 21 mm with the DC pulse bias during 60 min.

Integrated Method for Text Detection in Natural Scene Images

  • Zheng, Yang;Liu, Jie;Liu, Heping;Li, Qing;Li, Gen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.11
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    • pp.5583-5604
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    • 2016
  • In this paper, we present a novel image operator to extract textual information in natural scene images. First, a powerful refiner called the Stroke Color Extension, which extends the widely used Stroke Width Transform by incorporating color information of strokes, is proposed to achieve significantly enhanced performance on intra-character connection and non-character removal. Second, a character classifier is trained by using gradient features. The classifier not only eliminates non-character components but also remains a large number of characters. Third, an effective extractor called the Character Color Transform combines color information of characters and geometry features. It is used to extract potential characters which are not correctly extracted in previous steps. Fourth, a Convolutional Neural Network model is used to verify text candidates, improving the performance of text detection. The proposed technique is tested on two public datasets, i.e., ICDAR2011 dataset and ICDAR2013 dataset. The experimental results show that our approach achieves state-of-the-art performance.