• Korean Journal of Cognitive Science
• /
• v.15 no.4
• /
• pp.21-30
• /
• 2004

Additive color mixture of two different background colors appeared in the afterimage of a gray circle centered on an isoluminant bichromatic background (red/green, blue/green, or blue/yellow background). The chromatic mixture still appeared in the afterimage of a gray circle on a bichromatic background at different luminance levels, and also appeared in a large test field. The saturation of the induced color was observed to increase as the overall luminance of adaptation background stimulus increase of the size of test field decreases. It was found that the chromatic mixture does not appear with a chromatic or achromatic boundary inserted on the center of the test field. The boundary seems to prevent the induced color on each side of test field from spreading to the other side so that the induced color does not appear mixed but divided into two different colors. Without a boundary on the test stimulus, the color information induced in the afterimage seems to be too weak to create a subjective boundary between the two colors and consequently propagate inward appearing mixed.

• 한국정보디스플레이학회:학술대회논문집
• /
• 2003.07a
• /
• pp.339-342
• /
• 2003

Main PDP panel efficacy improvement factors are discussed. A large panel efficacy improvement can be obtained through a combination of discharge efficiency improvement and phosphor improvement. Important design elements are a high Xe-content gas mixture, the application of a $TiO_2-layer$, and a new green phosphor with little saturation at high VUV-load. In a 4-inch color test panel with a conventional stripe-type cell configuration a white efficacy of 4.4 lm/W and a luminance of 5000 $cd/m^2$ is obtained for sustaining at 250V in addressed condition.

• Journal of Digital Convergence
• /
• v.11 no.12
• /
• pp.459-465
• /
• 2013

This paper is a study on an object extraction method which using color features of an object and background in the image. A human recognizes an object through the color difference of object and background in the image. So we must to emphasize the color's difference that apply to extraction result in this image. Therefore, we have converted to HSV color images which similar to human visual system from original RGB images, and have created two each other images that applied Median Filter and we merged two Median filtered images. And we have applied the Mean Shift algorithm which a data clustering method for clustering color features. Finally, we have normalized 3 image channels to 1 image channel for binarization process. And we have created object map through the binarization which using average value of whole pixels as a threshold. Then, have extracted major object from original image use that object map.

• Fashion & Textile Research Journal
• /
• v.19 no.5
• /
• pp.653-660
• /
• 2017

Recently, consumers' evaluation and purchase of online design has been increasing due to the popularization of designing through personal computers, but there has not been enough studies on consumers' brain wave responses depending on the change of PC monitor's color. Therefore, this study investigated how brain waves changed when different background colors with gray patterns were presented through PC monitors. Six background colors with same tone of slightly low saturation were selected, including ivory, yellow, pink, green, blue and pure white as a base color. The brightness and characteristics of color used were analyzed using the luminance meter and color scales. Brain wave was measured by EEG measurement equipment. Brain wave measurement was carried out with 9 subjects at 6 points: F3, F4, T3, T4, O1, and O2. Stimuli were shown for 15 seconds each and black screens were displayed for 15 seconds between each stimulus. As results, the brain waves at O1 responded sensitively by different background colors, followed by F4 and T4. Brain index such as 'RT', 'RA', 'RG', 'RSA', and 'RAHB' showed significant differences depending on the background color at O1, whereas 'RST' differed at F4. Yellow and blue backgrounds pair was the only stimuli that showed significant differences in six brain indices mentioned. Yellow background had higher value of 'RG' at O1 and higher 'RST' at F4, indicating yellow background enhanced concentration. Blue background activated 'RT', 'RA', 'RSA', 'RAHB' at O1, meaning blue background induced calm and stable state.

• The Journal of the Korea Contents Association
• /
• v.15 no.11
• /
• pp.1-9
• /
• 2015

Emotion recognition and regular controls are concentrated interest in computer studies to emotional changes. Thus, the quantified by objective assessment methods are essential for application of color sensibility computing situations. In this paper, it is applied to a digital color image emotion emotional computing calculations numbered recognized as one representation. Emotional computing research approach consists of a color attribute to the image recognition focused sensibility and emotional attributes of color is the color, brightness and saturation separated by. Computes the sensitivity weighted according to the score and the percentage increase or decrease in the sensitivity property tone applied to emotional expression. Sensitivity calculation is free-degree (X), and calculates the tension (Y-axis). And free-level (X-axis) coordinate of emotion, which is located the intersection of the tension (Y-axis) as a sensitivity point. The emotional effect of the Russell coordinates are utilizing the core (Core Affect). Tue numbers represent the size and sensitivity in the emotional relationship between emotional point location and quantified by computing the color sensibility.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.14 no.4
• /
• pp.151-162
• /
• 2012

Regarding experimental study on the dyeing properties of natural dye, I have dyed silk fabric with Styphnolobium japonicum, sappan wood, and indigo. The results of the experiment have been analysed by wavelength of maximum absorption, K/S and CIE Lab chromaticity co-ordinated. The results are as follows: In case of complex dyeing using Styphnolobium japonicum and sappan wood, dyeing with sappan wood, which is red related color, after dyeing with Styphnolobium japonicum, which is yellow related color, is more efficient. When dyeing was maden by complex of Styphnolobium japonicum and sappan wood, Dyeing method by the order of "Styphnolobium japonicum${\rightarrow}$sappan wood${\rightarrow}$mordanting" made the best result of complex dyeing. In case of complex dyeing using Styphnolobium japonicum and Indigo, dyeing with Styphnolobium japonicum after the indigo made the best result. When dyeing with indigo first, and then Styphnolobium japonicum, yellow color was not well dyed, and low level of saturation caused lusterless color. Ordering of Styphnolobium japonicum${\rightarrow}$sappan wood${\rightarrow}$indigo made the best result of complex dyeing in case of complex dying with Styphnolobium japonicum and indigo. Dyeing order, sappan wood first and then indigo last method shown 560~640 nm wavelength of maximum absorption which most color was blue related. In contrast, Indigo first and then sappan wood method shown 460~560nm wavelength of maximum absorption which color was red related. Complex dyeing with sappan wood and indigo was showing lusterless color. In case of dyeing with red and blue, dyeing with sappan wood and indigo was not appropriate.

• Journal of the Korea Society of Computer and Information
• /
• v.19 no.2
• /
• pp.49-56
• /
• 2014

This thesis proposes CBIRS/TB method that uses a tablet's color distribution information and form distinctive in content-based search. CBIRS/TB can avoid misuses and improper tablet uses by conducting content-based search in commonly prescribed tablets. The existing FE-CBIRS system is limited to recognizing only the image of color and shape of the tablet, that leads to applying insufficient form-specific information. While CBIRS/TB utilizes average, standard deviation, hue and saturation of each tablets in color, brightness, and contrast, FE-CBIRS has partial-sphere application problem; only applying the typical color of the tablet. Also, in case of the shape-specific-information, Invariant Moment is mainly used for the extracted partial-spheres. This causes delayed processing time and accuracy problems. Therefore, to improve this setback, this thesis indexed color-specific-information of the extracted images into categorized classification for improved search speed and accuracy.

• Science of Emotion and Sensibility
• /
• v.23 no.4
• /
• pp.73-92
• /
• 2020

This article addresses the possibility of developing a new art appreciation method using olfaction, which was not previously considered an important sense in expanding the cultural enjoyment of visually impaired people. The human olfactory system is a faculty that is not considered very important in modern society; however, this is due to cultural factors, and from a biological point of view, the human sense of smell has sufficient potential for practical application. In this study, it is assumed that when various types of scent are perceived through this sense of smell, each has its own unconscious relation to color and concept, which researchers have termed "color directivity" and "concept directivity." Through experiments, the researchers found that some specific scents have color directivity and concept directivity, and in using these scents, they succeeded in delivering information about colors used in artworks to the visually impaired. Based on this study, we hope to continue our research on the use of color-concept directional scents that can convey the brightness and saturation of colors and more diverse hues.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.1
• /
• pp.91-97
• /
• 2009

This paper proposes novel FE-CBIRS that finds best position of a cut to be retrieved based on color feature distribution in digital contents of IPTV. Conventional CBIRS have used a method that utilizes both color and shape information together to classify images, as well as a method that utilizes both feature information of the entire region and feature information of a partial region that is extracted by segmentation for searching. Also, in the algorithm, average, standard deviation and skewness values are used in case of color features for each hue, saturation and intensity values respectively. Furthermore, in case of using partial regions, only a few major colors are used and in case of shape features, the invariant moment is mainly used on the extracted partial regions. Due to these reasons, some problems have been issued in CBIRS in processing time and accuracy so far. Therefore, in order to tackle these problems, this paper proposes the FE-CBIRS that makes searching speed faster by classifying and indexing the extracted color information by each class and by using several cuts that are restricted in range as comparative images.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
• /
• 2007.04a
• /
• pp.169-173
• /
• 2007

Nowadays the aerial photos is using to get the information around our spatial environment and it increases by geometric progression in many fields. The aerial photos need in a simple object such as cartography and ground covey classification and also in a social objects such as the city plan, environment, disaster, transportation etc. However, the shadow, which includes when taking the aerial photos, makes a trouble to interpret the ground information, and also users, who need the photos in their field tasks, have restriction. This study, for removing the shadow, uses the single image and the image without the source of image and taking situation. Also, this study present clustering algorism based on HIS color model that use Hue, Saturation and Intensity, especially this study used I(intensity) to extract shadow area from image. And finally by filtering in Fourier frequency domain creates the intrinsic image which recovers the 3-D color information and removes the shadow.