• Title/Summary/Keyword: color images

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Properties of Merging Galaxies in the Nearby Universe

  • Park, Jong-Han;Ann, Hong-Bae;Kang, Hye-Sung
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.2
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    • pp.70.1-70.1
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    • 2011
  • We have investigated properties of merging galaxies in the nearby universe, using Sloan Digital Sky Survey (SDSS) DR7. We first constructed two galaxy samples according to redshift range: Sample 1 for 0 ${\leq}$ z ${\leq}$ 0.025 and Sample 2 for 0.09 ${\leq}$ z ${\leq}$ 0.1. We then identified 118 and 184 merging galaxies among the galaxies in the Sample 1 and 2, respectively, and classified them into different merging types and stages by visual inspection of galaxy images. In the Sample 1, there are more wet mergers than dry mergers, while most merging galaxies in the Sample 2 are dry mergers. The color-magnitude diagram of the merging galaxies in our samples is comparable to that of normal galaxies. Dry mergers tend to locate in the red sequence, while wet and mixed mergers reside mostly in the blue cloud. Unlike some previous studies, we did not find a clear trend that the merger rate increases at higher redshift. However, it is difficult to make a direct comparison of the merger rate found in different studies, because it depends on the number of observed galaxies and criteria for merger classification. From the ratios of emission lines, we infer that the faction of merging galaxies with AGNs is higher in wet mergers than in other types.

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Face Detection for Cast Searching in Video (비디오 등장인물 검색을 위한 얼굴검출)

  • Paik Seung-ho;Kim Jun-hwan;Yoo Ji-sang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.10C
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    • pp.983-991
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    • 2005
  • Human faces are commonly found in a video such as a drama and provide useful information for video content analysis. Therefore, face detection plays an important role in applications such as face recognition, and face image database management. In this paper, we propose a face detection algorithm based on pre-processing of scene change detection for indexing and cast searching in video. The proposed algorithm consists of three stages: scene change detection stage, face region detection stage, and eyes and mouth detection stage. Experimental results show that the proposed algorithm can detect faces successfully over a wide range of facial variations in scale, rotation, pose, and position, and the performance is improved by $24\%$with profile images comparing with conventional methods using color components.

Face Detection Using Geometrical Information of Face and Hair Region (얼굴과 헤어영역의 기하학적 정보를 이용한 얼굴 검출)

  • Lee, Woo-Ram;Hwang, Dong-Guk;Jun, Byoung-Min
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.2C
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    • pp.194-199
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    • 2009
  • This paper proposes a face detection algorithm that uses geometrical information on face and hair region. This information that face adjoins hair regions can be the important one for face detection. It is also kept in images with frontal, rotated and lateral face. The face candidates are founded by the analysis of skin regions after detecting the skin and hair color regions in an image. Next, the intersected lesions between face candidates and hair's are created. Finally, the face candidates that include the subsets of these regions turn out to be face. Experimental results showed the high detection rates for frontal and lateral faces as well as faces geometrically distorted.

Interactive 3D Integral Imaging System using Single Camera (하나의 카메라를 이용한 인터렉티스 3D 집적 영상 시스템)

  • Shin, Dong-Hak;Kim, Eun-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.10C
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    • pp.829-835
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    • 2008
  • Recently, 3D integral imaging system, which is well known as an auto-stereoscopic 3D display method, has been gaining great attention amongst researchers. The integral imaging is a promising 3D display technology since it is able to deliver continuous viewing points, full parallax, and full color view to the observers in space. In this paper, we propose a novel interactive 3D integral imaging system using a single camera. The user interface is implemented by adding a camera in the conventional integral imaging system. To show the possibility of the proposed system, we implement the optical setup and present the preliminary results. To our best knowledge, this is the first time to study an interactive 3D integral imaging.

Analysis of the necklace design appearing in fashion collection (패션 컬렉션에 나타난 네크리스 디자인 분석)

  • Choi, Jinyoung
    • The Research Journal of the Costume Culture
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    • v.26 no.3
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    • pp.296-312
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    • 2018
  • In this study, we analyzed the whole design of the necklace in detail, which reflects the artistic sense of handicraft in couture. The purpose of the study was to identify the characteristics of the design based on the analysis findings and to provide basic data to help fashion designers. The research method entailed analyzing trends in necklace design - viewed in fashion magazines and on websites - by year, season, brand, kind, material, color, and image. The identified necklace design characteristics were as follows. First, artistry and originality are dramatically expressed through the use of a broad range of materials. Second, due to the necklace's role as an object of perfect beauty, in a number of images, the necklaces were presented in convergence and contrast with overall costumes. Third, the dramatic effects of layering revealed a strong presence and individualized styling. Necklaces are created with diverse sculptures by realizing the creative imagination of fashion designers. Even though they looked a little different every year, there were designs in the collections constantly. Round shape and princess length were preferred. In particular, the mix type was used to express dramatic effect by focusing neck part in entire styling which different length of necklaces were layered and worn. As a result, it meets the needs of consumers who emphasize brand differentiation and diversity, and it is believed that the role of necessities in fashion will continue and it creates economic demand in the fashion industry.

Fast Generation of Stereoscopic Virtual Environment Display Using P-buffer

  • Heo, Jun-Hyeok;Jung, Soon-Ki;Wohn, Kwang-Yun
    • Journal of Electrical Engineering and information Science
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    • v.3 no.2
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    • pp.202-210
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    • 1998
  • This paper is concerned with an efficient generation of stereoscopic views for complex virtual environments by exploiting frame coherence in visibility. The basic idea is to keep visible polygons throughout the rendering process. P-buffer, a buffer of image size, holds the id of the visible polygon for each pixel. This contrasts to the frame buffer and the Z-buffer which hold the color information and the depth information, respectively. For the generation of a consecutive image, the position and the orientation of the visible polygons in the current view are updated according to the viewer's movements, and re-rendered on the current image under the assumption that, when the viewer moves slightly, the visibility of polygons remains unchanged. In the case of stereoscopic views, it may not introduce much difficulty when we render the right(left) image using visible polygons on the (right) image only, The less difference in two images is, the easier the matching becomes in perceiving depth. Some psychophysical experiments have been conducted to support this claim. The computational complexity for generating a fight(left) image from the previous left(right) image is bounded by the size of image space, and accordingly. It is somewhat independent of the complexity of the 3-D scene.

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Applicability of Vegetation Indices from Terra MODIS and COMS GOCI Imageries (Terra MODIS 위성영상과의 비교를 통한 COMS GOCI 위성영상의 식생지수 적용성 평가)

  • Park, Jin Ki;Kim, Bong Seop;Oh, Si Young;Park, Jong Hwa
    • Journal of The Korean Society of Agricultural Engineers
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    • v.55 no.6
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    • pp.47-55
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    • 2013
  • The objective of this study is to evaluate the applicability of Communication, Ocean, and Meteorological Satellite (COMS) Geostationary Ocean Color Imager (GOCI) vegetation indices on a quantitative analysis. For evaluation, the vegetation indices such as RVI, NDVI and SAVI were extracted by using COMS GOCI and Terra Moderate Resolution Imaging Spectroradiometer (MODIS) imageries. The 4,000 points using simple random sampling (SRS) method were randomly extracted from land areas except ocean to compare the vegetation indices from two images. The results of linear regression showed that the regression coefficients of RVI, NDVI, and SAVI between COMS GOCI and Terra MODIS were 0.66~0.82, 0.71~0.83, and 0.71~0.83, respectively. Especially, the regression coefficients of RVI (r=0.85), NDVI (r=0.91) and SAVI (r=0.91) were strongly related from September 2011 to January 2012. Thus, COMS GOCI can be substituted for particular periods and it needs to verify additionally.

Color Similarity-based Class Labeling Method for Deep Learning of Capsule Endoscopic Images (캡슐내시경 영상 딥러닝을 위한 색상 유사도 기반의 클래스 레이블링 기법)

  • Park, Ye-Seul;Hwang, Gyubon;Lee, Jung-Won
    • Annual Conference of KIPS
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    • 2017.11a
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    • pp.749-752
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    • 2017
  • 캡슐내시경 검사는 일반내시경으로는 관찰하기 힘든 소장 기관을 관찰할 수 있어 최근 환자들 사이에서 수요가 늘고 있는 검사 방법 중 하나이다. 이와 같은 캡슐내시경으로부터 병변에 대한 의료 정보가 획득될 수 있는데, 최근에는 캡슐내시경 영상의 학습을 통해 이를 자동으로 획득하려는 시도들이 이루어지고 있다. 예를 들면, 캡슐의 위치를 추적하기 위해 위장관의 개략적인 위치(위, 소장 등)를 파악하거나, 캡슐내시경 영상으로부터 관찰될 수 있는 병변(폴립 등)을 검출하기 위해 영상의 학습이 수행되고 있는 상황이다. 그러나 캡슐내시경의 방대한 영상 프레임 중에서 병변에 대한 영상은 극히 일부분이기 때문에, 기존 학습 영상의 클래스(레이블)는 다양한 병변에 대한 정의나 영상에서 확인될 수 있는 구체적인 속성이 고려되지 않는다. 따라서 본 논문에서는 캡슐내시경 관련 표준(MST, CEST)에서 정의하고 있는 주요 병변 정보에 대한 색상 유사도 분석을 통해, 출력층에서 활용될 수 있는 클래스 레이블링 기법을 제안한다. 제안하는 기법은 유사한 특성을 보이는 영상의 구분을 통해 세부적인 클래스 레이블링을 수행하여 체계적인 학습 모델의 설계를 가능케한다.

A Study on the Gem Design of Dan-cheong Natural Stone Inorganic Pigments Using CAD/CAM (CAD/CAM을 활용한 단청 천연석채 보석 디자인에 관한 연구)

  • Yoon, Jae-Won
    • Journal of Digital Convergence
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    • v.18 no.8
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    • pp.427-433
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    • 2020
  • Based on the natural colors and techniques of Korean traditional Dancheong, the image from splendor and magnificence is used as a jewel in making ornaments by subjective interpretation of the researcher. The purpose of this paper is to propose the possibility of using as a jewelry design by combining the possibilities of various color expressions, the combination of solidity and luster synthetic resin by utilizing natural pigments and mono images used in Korean traditional monophonic. In this study, this study presented the possibility of accessing in the life of a modern person pursuing a lifestyle by introducing a mono image into jewelry design, and at the same time, approaching ornaments by using traditional materials of the past, modern materials, and digital production methods. We are looking for a wide variety of jewelry designs to be utilized.

LCD Defect Detection using Neural-network based on BEP (BEP기반의 신경회로망을 이용한 LCD 패널 결함 검출)

  • Ko, Jung-Hwan
    • 전자공학회논문지 IE
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    • v.48 no.2
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    • pp.26-31
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    • 2011
  • In this paper we show the LCD simulator for defect inspection using image processing algorithm and neural network. The defect inspection algorithm of the LCD consists of preprocessing, feature extraction and defect classification. Preprocess removes noise from LCD image, using morphology operator and neural network is used for the defect classification. Sample images with scratch, pinhole, and spot from real LCD color filter image are used. From some experiments results, the proposed algorithms show that defect detected and classified in the ratio of 92.3% and 94.5 respectively. Accordingly, in this paper, a possibility of practical implementation of the LCD defect inspection system is finally suggested.