• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.364-374
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• 2021

In a fiercely competitive market, brands have become an important foundation for people to choose their products, and brands are also symbols of people's status and strength. Therefore, the importance of brand image design is growing. And color is an expression of emotion and can improve the communication and marketing environment of brand image as an important element of brand image. In this study, Interbrand selected Korea-China TOP 50 brand as a survey target in 2019 and downloaded brand CI from each brand's homepage to data images through Adobe Photoshop program and HSB system, and analyzed the color of the brand. There is no big difference in analyzing the color characteristics of Korean and Chinese brands, and the I.R.I color image scale analysis shows that the overall design of Korean brands is vibrant, elegant and warm to consumers. On the other hand, the overall design of the Chinese brand offers consumers a solemn, modern and sophisticated emotional adjective. Based on the results, this study can provide practical implications for companies to select colors and forms when launching their own brands and developing products.

• Journal of the Korea Society of Computer and Information
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• v.18 no.6
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• pp.55-61
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• 2013

TSexual violence is physical and mental violence that violates the sexual self-determination contrary to the intention of the other party such as rape, forced molestation, sexual harassment, caught hidden camera. It is one of the many criminal acts that male is perpetrators and female is victims. Sexual harassment, one of the sexual violence is forced sexual harassment. It is considered a color frame where each pixel has 3 color components such that RGB. The averaging the absolute difference between the current frame and te next frame is divided by the absolute difference between the current frame and the previous frame. If there was a difference between the frame pair before a scene change the discontinuity value indicating a scene change could be relatively small. Therefore, Thus, the use of the redefined equation and redefined algorithm can be seen as it is much more good via experiment.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.413-425
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• 2019

We see many images every day, some of these images are stored in memory, and the majority are immersed in the unconscious world. Visual elements are seen by personal attention or by visual or biological attention factors. Specific and clear discovery of this visual attention has not yet been made. However, there is an interesting discussion of this visual attention in the fields of interior, design, visual perception, advertising, and psychology. Advertising photographers are expected to produce what their work will have on viewers and consumers. However, the adjustment of subject, exposure, color, or post-production, which could have a visual effect on the consumer, was determined only by the photographer's senses rather than the experimental verification. The advertisement photographs provide a specific image related to the object to be advertised and deliver a certain message. Therefore, it is necessary to understand the effect of the image in a certain visual way. According to previous studies, there are two major factors that affect the visual impression of the viewer. One is the factor depending on the type and content of the subject and the other is the factor about the density and color of the subject. The purpose of this study is to investigate the meaningful changes in the visual perception depending on the shape, content, color and tone of the subject, which can be called the main subject, And to analyze the effects of I will study some implications of visual elements through various analyzes.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.7
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• pp.1319-1325
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• 2006

Urine analysis is basic test in clinical medicine using visual examination by expert nurse. Recently, this test is measured by automatic urine analysis system. But, this system has different results by each instrument. So, a new classification algorithm is required for accurate classify and urine color collection. In this paper, a intelligent color classifier of urine analysis system was designed using neural network algorithm. The input parameters are three stimulus(RGB) after preprocessing using normalization. The fuzzy inference and neural network ware constructed for classify class according to 9 urine test items and $3{\sim}7$ classes. The experiment material to be used a standard sample of medicine. The possibility to adapt classifier designed for urine analysis system was verified as classifying measured standard samples and observing classified result. Of many test items, experimental results showed a satisfactory agreement with test results of reference system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.11
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• pp.2271-2283
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• 2015

In this paper, we propose a method which infers an accurate disparity map for radiometrically varying stereo images. For this end, firstly, we transform the input color images to the log-chromaticity color space from which a linear relationship can be established during constructing a joint pdf between input stereo images. Based on this linear property, we present a new stereo matching cost by combining weighted mutual information and the SIFT (Scale Invariant Feature Transform) descriptor with segment-based plane-fitting constraints to robustly find correspondences for stereo image pairs which undergo radiometric variations. Experimental results show that our method outperforms previous methods and produces accurate disparity maps even for stereo images with severe radiometric differences.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.6
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• pp.1283-1288
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• 2011

In this paper we collect data concerning sleep environments in a bedroom and analyze the relationship between the collected condition data and sleep. In addition, this paper detects scene changes from the subjects in a sleeping state and presents the physical conditions, reactions during sleep, and physical sensations and stimuli. To detect scene changes in image sequences, we used color histogram for the difference between the preceding frame and the current frame. In addition, to extract the tossing and turning for different situations, the subjects were instructed to enter the level of fatigue, the level of drinking, and the level of stomach emptiness. For the sleep experiment system, we used the H-MOTE2420 Sensor composed of temperature, humidity, and light sensors. This paper is intended to provide the best sleep environment that enhances sleep quality, thus inducing people today to get regular and comfortable sleep.

• Journal of Veterinary Clinics
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• v.20 no.2
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• pp.145-149
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• 2003

Color Doppler imaging(CDI) was carried out to determine CDI-derived resistive index(RI) values of normal canine ophthalmic vasculature and its reproducibility. CDI was performed on 58 dogs. and normal ranges of RI value were calculated for the medial long posterior ciliary artery(mLPCA), ciliary artery(CA), and ophthalmic artery(OA). Ophthalmic vascular RI values of normal dogs were 0.67$\pm$0.07, 0.70$\pm$0.06, and 0.80$\pm$0.04 in mLPCA, CA, and OA, respectively. Means of RT value of all vessel had no statistically significant difference by sex, fellow orbits, and skull type. The results suggest that color Doppler imaging is a noninvasive test which has the advantage of providing objective measurements of blood flow velocity parameter in the canine eye and orbit.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.863-867
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• 2021

In this paper, in order to hide the watermark in the LSB of the color image, a color image watermarking technique with high security is proposed by using the adjacent pixels of the image and the spatial encryption technique. According to the technique proposed in this paper, the quality of the stego-image generated by hiding the watermark in the LSB of the color image is so excellent that the difference from the original image cannot be recognized, and the original watermark can be extracted from the stego-image without loss. If the watermark is hidden in the image using the proposed technique, the security of the watermark is maintained very high because the watermark hidden in the stego-image is multi-encrypted. The proposed watermarking technique can be used in applications such as military and intellectual property protection that require high security.

• Science of Emotion and Sensibility
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• v.13 no.2
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• pp.337-346
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• 2010

The purposes of this research were to evaluate the color sensibility and preferences, and to analyze the effect of the tactile preferences and purchasing preference on structural properties, color characteristics and color sensibility for the black color fabrics. Male and female university students were asked to evaluate the color sensibility, tactile preference and purchasing preference to the nine different black fabrics which were selected on the basis of the previous research results. Data were analyzed by using frequency analysis, mean, factor analysis, t-test, Kruskal-Wallis test, correlation and regression analysis. The color sensibility for black color fabrics was classified into four factors: simplicity/classic, elegance, modernity and dignity. This color sensibility factors showed a significant correlative relationship to the structural properties and color characteristics of black color fabrics. On the other hand, fabrics which were evaluated with good tactile preference among the black color fabrics tended to show higher purchasing preference. Also, among the color sensibility, the structural properties and color characteristics of black color fabrics, major variable factor of influencing on the tactile preference and the purchasing preference was turned out to be the color sensibility.

• Journal of the Korea Society of Computer and Information
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• v.10 no.6 s.38
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• pp.65-74
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• 2005

This Paper Propose a robust scene change detection technique that use the weighted chi-square test and the automated threshold-decision algorithm. The weighted chi-test can subdivide the difference values of individual color channels by calculating the color intensities according to mSC standard, and it can detect the scene change by joining the weighted color intensities to the predefined chi-test which emphasize the comparative color difference values. The automated decision algorithm uses the difference values of frame-to-frame that was obtained by the weighted chi-test. In the first step, The average of total difference value and standard deviation value is calculated and then, subtract the mean value from the each difference values. In the next step, the same process is performed on the remained difference value. The propose method is tested on various sources and in the experimental results, it is shown that the Proposed method is efficiently estimates the thresholds and reliably detects scene changes.