• Title/Summary/Keyword: color simulation

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The Male Perceiver's Image Evaluation and Preference of Women's Hairstyle (여성 헤어스타일에 대한 남성 지각자의 이미지 평가 및 선호도 연구)

  • Lee, Myoung-Hee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.9 no.2
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    • pp.127-138
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    • 2007
  • The purpose of this study was to investigate the male perceiver's image evaluation on women's hairstyle and hair color, and to disclose the preference of the hairstyle and hair color. The experimental design was $2{\times}3{\times}3$ (hair $wave{\times}hair\;length{\times}hair$ color) factorial design by 3 independent variables. The stimuli were 18 women's upper body photographs which were output by computer simulation. The hairstyles were straight hair and wavy hair, and the types of the hair length were long, medium, and short hair. The hair colors were black, dark brown, and bright brown. Subjects were 154 men living in Seoul. The data were analyzed by using factor analysis, Cronbach's ${\alpha}$ reliability coefficient, three-way ANOVA, one-way ANOVA, and Duncan's multiple range test. The results of this study were as follows. Four image dimensions were derived by factor analysis. These were individuality, elegance, potency, and attractiveness. Male perceivers evaluated the women's long hairstyles to be more elegant than the short and the medium length hairs. The women's short hairstyles were perceived more potent than the long and the medium length hairs. The straight hairs were evaluated more elegant than the permed hairs, and the permed hairs were evaluated higher in individuality and attractiveness. The black hairs were perceived lowest in attractiveness, and the bright colors were perceived low in elegance. Male preferred the long brown straight hair first. They liked women's long hairs better than the short and the medium length hairs. Teenaged males preferred various hair colors more than those in their 20's and 30's did.

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Improvement of Frame Rate of Electro-Optical Sensor using Temporal Super Resolution based on Color Channel Extrapolation (채널별 색상정보 외삽법 기반 시간적 초해상도 기법을 활용한 전자광학 센서의 프레임률 향상 연구)

  • Noh, SangWoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.5
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    • pp.120-124
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    • 2017
  • The temporal super resolution is a method for increasing the frame rate. Electro-optical sensors are used in various surveillance and reconnaissance weapons systems, and the spatial resolution and temporal resolution of the required electro-optical sensors vary according to the performance requirement of each weapon system. Because most image sensors capture images at 30~60 frames/second, it is necessary to increase the frame rate when the target moves and changes rapidly. This paper proposes a method to increase the frame rate using color channel extrapolation. Using a DMD, one frame of a general camera was adjusted to have different consecutive exposure times for each channel, and the captured image was converted to a single channel image with an increased frame rate. Using the optical flow method, a virtual channel image was generated for each channel, and a single channel image with an increased frame rate was converted to a color channel image. The performance of the proposed temporal super resolution method was confirmed by the simulation.

Block-based Color Image Segmentation Using Cylindrical Metric (Cylindrical metric을 사용한 블록기반 컬러 영상 분할)

  • Nam Hyeyoung;Kim Boram;Kim Wookhyun
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.3 s.303
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    • pp.7-14
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    • 2005
  • In this paper we proposed the block-based color image segmentation method using the cylindrical metric to solve the problems such as long processing time and over segmentation due to noise and texture properties in the conventional methods. In the proposed method we define the new similarity function and the merge condition between regions to merge initial regions with the same size considering the color and texture properties of chromatic and achromatic regions which is defined according to the HSI color values, and we continue to merge boundary blocks into the adjacent region already segmented to maintain edges until the size of block is one. In the simulation results the proposed method is better than the conventional methods in the evaluation of the segmented regions of texture and edge region, and we found that the processing time is decreased by factor of two in the proposed method.

Flower Recognition System Using OpenCV on Android Platform (OpenCV를 이용한 안드로이드 플랫폼 기반 꽃 인식 시스템)

  • Kim, Kangchul;Yu, Cao
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.1
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    • pp.123-129
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    • 2017
  • New mobile phones with high tech-camera and a large size memory have been recently launched and people upload pictures of beautiful scenes or unknown flowers in SNS. This paper develops a flower recognition system that can get information on flowers in the place where mobile communication is not even available. It consists of a registration part for reference flowers and a recognition part based on OpenCV for Android platform. A new color classification method using RGB color channel and K-means clustering is proposed to reduce the recognition processing time. And ORB for feature extraction and Brute-Force Hamming algorithm for matching are used. We use 12 kinds of flowers with four color groups, and 60 images are applied for reference DB design and 60 images for test. Simulation results show that the success rate is 83.3% and the average recognition time is 2.58 s on Huawei ALEUL00 and the proposed system is suitable for a mobile phone without a network.

The Effect of the Jacket Style and Color, and Shirt Style on Men's Image Perception (재킷 스타일과 색, 셔츠 스타일이 남성의 이미지 지각에 미치는 영향)

  • Kang, Seung-Hee;Lee, Myoung-Hee
    • Journal of the Korean Society of Costume
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    • v.58 no.1
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    • pp.33-44
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    • 2008
  • The purpose of this study was to investigate the effects of the style and the color of jacket, the style of shirt, and stimulus-manufacturing method on men's image perception. A quasi-experimental method by questionnaire was used, and the experimental design was $2{\times}2{\times}2{\times}2$ (jacket style${\times}$jacket color${\times}$shirt style${\times}$stimulus-manufacturing method) factorial design. Computer simulation picture and photograph were used for stimulus-manufacturing method. Subjects were 377 women in the metropolitan area of Seoul. The data were analyzed by using factor analysis, Cronbach's ${\alpha}$-reliability coefficient, and three-way ANOVA. The men's image derived five dimensions by factor analysis; neatness, ability, activity, individuality, and sociability. Tailored jacket with jean pants was evaluated higher in ability, individuality, and sociality than jumper with jean pants, and jumper was evaluated higher than tailored jacket in activity. The indigo jacket was evaluated lower in individuality in the picture stimuli than in the photograph stimuli. The beige tailored jacket with jean pants was evaluated higher in activity than indigo tailored jacket. However, the indigo jumper was evaluated higher in activity than beige jumper. Dress shirt under the tailored jacket was evaluated higher in ability and individuality than T-shirt under the tailored jacket. T-shirt under the jumper was evaluated higher in activity than dress shirt.

A Two-color Signal Processing Algorithm Using the Ratio between Two Band Signals (대역간 신호비를 이용한 two-color 신호처리 알고리듬)

  • Oh, Jeong-Su;Doo, Kyoung-Soo;Jahng, Surng-Gabb;Seo, Dong-Sun;Choi, Jong-Soo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.37 no.6
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    • pp.60-69
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    • 2000
  • In this paper we propose a new two-color signal processing algorithm for efficient target tracking under complicated condition including interfernces such as background noises and countermeasures. For the efficient target tracking, we adopt two detection bands, and define the ratio between two band signals which represents the spectral distribution characteristics of a target or interference. The proposed algorithm detects the ratio of interference, and extracts only the target signal from the target and the interference mixed signal by using it. To evaluate the performance of the proposed algorithm, we apply it to a rosette tracker and perform various simulations. The simulation results show that the proposed algorithm extracts the target signal from the mixed signal well. The proposed algorithm is also ready to be applied to a real system since it is simple and adaptive for environment change.

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A Study on the Tile Mural Decoration Design Using Colored Glass Plaster Technique (색유리 플래스터 기법을 이용한 타일 벽장식 방안 연구)

  • Kim, Seung-Man
    • The Journal of the Korea Contents Association
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    • v.20 no.12
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    • pp.460-470
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    • 2020
  • In modern life, interior decoration has been transformed into a psychological synergistic effect of space, greatly affecting human sensibility. The main point of view in this paper is to study the discovery of new decorative effects and the possibility of products that can replace imported tiles, which account for more than 60% of the walls of indoor spaces closely related to daily life. The solution is to create point tiles using color glass plaster techniques developed in 2018 and to explore the possibility of decorating art walls to meet consumers' purchasing needs using simulations. The four patterns applied to the a paintbrush, resist printing, cutting technique, and inlaid patterns, and the traditional color development effect of the medium color suited to our sensibilities was studied. In addition, through simulation, art walls and acrylic using color glass styles were also used in the kitchen, living room and empty space of the bathroom. Based on this research, ceramic point tiles with a new perspective will be explored and the interior using walls will be activated.

Performance Analysis of Screen Contents Coding Tools to Reduce Inter-Color Component Correlation (색 공간 내 중복 정보 감소를 위한 HEVC 스크린 콘텐츠 부호화 기법 성능 분석)

  • Kang, Je-Won
    • Journal of Broadcast Engineering
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    • v.20 no.5
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    • pp.687-696
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    • 2015
  • JCT-VC (Joint Collaborative Team on Video Coding) continues developing HEVC/Screen Content Coding (HEVC/SCC) as an extension for efficiently coding screen content videos, including computer animations, graphics, and electrical documents, based on HEVC/Range extension (HEVC/RExt.). Color space conversion from RGB space being captured from CCD sensors is popular in natural video coding. However, the conversion is often undesired for screen contents because of a significant loss in perceptual quality. Therefore, several coding tools including cross-component prediction (CCP) and in-loop adaptive color space transform (ACST) have been developed for an efficient screen content video coding in order to reduce the redundancies between color spaces while maintaining the original color space. In this paper, we review the two coding tools, i.e., CCP and ACST exploiting the correlation in the RGB color space and conduct the performance analysis of the coding tools. In our simulation results, CCP and ACST provide 11.7% BD-rate saving and 16.4% BD-rate saving, respectively, while the two coding tools provide 18.2% BD-rate saving in total. Following this idea, if the two coding tools are exclusively selected, we provide 93% encoding measurement time with a 0.3% coding loss.

An Adaptive FIHS Fusion Using Spatial and Spectral Band Characteristics of Remote Sensing Image (위성 영상의 공간 및 분광대역 특성을 활용한 적응 FIHS 융합)

  • Seo, Yong-Su;Kim, Joong-Gon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.12 no.4
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    • pp.125-135
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    • 2009
  • Owing to its fast computing capability for fusing images, the FIHS(Fast Intensity Hue Saturation) fusion is widely used for fusion purposes. However, the FIHS fusion also distorts color in the same way such as the IHS(Intensity Hue Saturation) fusion technique. In this paper, a FIHS fusion technique(FIHS-BR) which reduces color distortion by using the ratio of each spectral band and an adaptive FIHS fusion(FIHS-SABR) using spatial information and the ratio of each spectral band are proposed. The proposed FIHS-BR fusion reduces color distortion by adding different spatial detail improvement values for each spectral band. The spatial detail improvement values are derived from the ratio of spectral band. And the proposed FIHS-SABR fusion reduces more color distortion by readjusting the spatial detail improvement values for each spectral band according to the ratio of the spectral bands. The spatial detail improvement values are derived adaptively from the characteristics of spatial information of the local image. To evaluate the performance of the proposed FIHS-BR fusion and FIHS-SABR fusion, a computer simulation is performed for IKONOS remote sensing image. Results from the experiments show that the proposed methods have less color distortion for the forest regions which reveal severe color distortion in the traditional FIHS fusion. From the evaluation results of the characteristics of spectral information for fused image, we show that the proposed methods have best results.

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Model Grouping in a Mixed-model Assembly Line (조립생산 시스템에서의 혼합 모델 그룹화)

  • Kim, Yearn-Min;Seo, Yoon-Ho
    • IE interfaces
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    • v.9 no.2
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    • pp.39-45
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    • 1996
  • This paper investigates the problems of grouping N products on an assembly line with an objective of maximizing the option grouping rate. Before developing a mixed model grouping algorithm, simulation studies are committed for developing operating rules and evaluating the layout production systems. A mixed model grouping algorithm is suggested and it is applied to the color selection lane in automobile production system, which reveals a high mixed model grouping rate.

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