• Title/Summary/Keyword: Orthogonal image

검색결과 180건 처리시간 0.029초

Experimental Study on the Unsteady Behavior of a Confined Impinging Slot Jet (국한 충돌 슬롯 제트의 비정상 거동에 대한 실험적 연구)

  • Kim, Kyung-Chun;Oh, Sung-Jin;Lee, In-Won
    • Journal of the Korean Society of Visualization
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    • 제3권2호
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    • pp.57-62
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    • 2005
  • The flow characteristics in a confined slot jet impinging on a flat plate were investigated by using cinematic Particle Image Velocimetry technique. The jet Reynolds number was varied from 250 to 1000 for a fixed jet-to-plate spacing of H/W=5. We found that the vortical structures in the shear layer are developed with increase of Reynolds number and that the jet becomes unsteady by the interaction of vortex pairs between 500 and 750 of Reynolds number. Vortical structures and their temporal evolution are verified by using proper orthogonal decomposition.

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Luminance Change Independent 3D Snail Tracking

  • Dewi, Primastuti;Choi, Yoen-Seok;Chon, Tae-Soo;Cha, Eui-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 한국해양정보통신학회 2010년도 추계학술대회
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    • pp.175-178
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    • 2010
  • Slow movement of snail can be a benefit since it means less speed of tracking is required to get accurate movement track, but in the other side it is difficult to extract the object because the snail is almost as static as the background. In this paper, we present a technique to track the snail by using one of its common characteristic, dark color of its shell. The technique needs to be robust to illumination change since the experiment is usually to observe the movement of snail both at bright and dim condition. Snail position coordinate in 3D space is calculated using orthogonal stereo vision which combines the information from two images taken from cameras at the top and in front of the aquarium. Experimental results show this technique does not need prior background image extraction and robust to gradual or sudden illumination change.

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3D directional Interpolation Algorithm (3차원 방향성 보간 기법)

  • Hur, Shin;Lee, Bong-Jun;Lee, Chul-Hee
    • Proceedings of the IEEK Conference
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    • 대한전자공학회 2000년도 하계종합학술대회 논문집(5)
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    • pp.138-141
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    • 2000
  • In this paper, we present a new interpolation algorithm for three-dimensional images. Generally, Image interpolation is carried out along the three orthogonal coordinates. However, such a interpolation algorithm along orthogonal coordinates do not utilize the contour of 3 dimensional objects. In this paper, we propose a new directional interpolation algorithm that searches the best interpolation direction for 3-dimensional objects. Experiments with brain MR images show promising results.

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Hierarchical Image Encryption System Using Orthogonal Method (직교성을 이용한 계층적 영상 암호화)

  • Kim, Nam-Jin;Seo, Dong-Hoan;Lee, Sung-Geun;Shin, Chang-Mok;Cho, Kyu-Bo;Kim, Soo-Joong
    • Korean Journal of Optics and Photonics
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    • 제17권3호
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    • pp.231-239
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    • 2006
  • In recent years, a hierarchical security architecture has been widely studied because it can efficiently protect information by allowing an authorized user access to the level of information. However, the conventional hierarchical decryption methods require several decryption keys for the high level information. In this paper, we propose a hierarchical image encryption using random phase masks and Walsh code having orthogonal characteristics. To decrypt the hierarchical level images by only one decryption key, we combine Walsh code into the hierarchical level system. For encryption process, we first perform a Fourier transform for the multiplication results of the original image and the random phase mask, and then expand the transformed pattern to be the same size and shape of Walsh code. The expanded pattern is finally encrypted by multiplying with the Walsh code image and the binary phase mask. We generate several encryption images as the same encryption process. The reconstruction image is detected on a CCD plane by a despread process and Fourier transform for the multiplication result of encryption image and hierarchical decryption keys which are generated by Walsh code and binary random phase image. Computer simulations demonstrate that the proposed technique can decrypt hierarchical information by using only one level decryption key image and it has a good robustness to the data loss such as random cropping.

Improvement of Bandwidth Efficiency for High Transmission Capacity of Contents Streaming Data using Compressive Sensing Technique (컨텐츠 스트리밍 데이터의 전송효율 증대를 위한 압축센싱기반 전송채널 대역폭 절감기술 연구)

  • Jung, Eui-Suk;Lee, Yong-Tae;Han, Sang-Kook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • 제16권3호
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    • pp.2141-2145
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    • 2015
  • A new broadcasting signal transmission, which can save its channel bandwidth using compressive sensing(CS), is proposed in this paper. A new compression technique, which uses two dimensional discrete wavelet transform technique, is proposed to get high sparsity of multimedia image. A L1 minimization technique based on orthogonal matching pursuit is also introduced in order to reconstruct the compressed multimedia image. The CS enables us to save the channel bandwidth of wired and wireless broadcasting signal because various transmitted data are compressed using it. A $256{\times}256$ gray-scale image with compression rato of 20 %, which is sampled by 10 Gs/s, was transmitted to an optical receiver through 20-km optical transmission and then was reconstructed successfully using L1 minimization (bit error rate of $10^{-12}$ at the received optical power of -12.2 dB).

Image classification methods applicable multiple satellite imagery

  • Jeong, Jae-Jun;Kim, Kyung-Ok;Lee, Jong-Hun
    • Proceedings of the KSRS Conference
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.81-81
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    • 2002
  • Classification is considered as one of the processes of extracting attributes from satellite imagery and is one of the usual functions in the commercial satellite image processing software. Accuracy of classification plays a key role in deciding the usage of its results. Many tremendous efforts far the higher accuracy have been done in such fields; training area selection, classification algorithm. Our research is one of these effort in different manners. In this research, we conduct classification using multiple satellite image data and evidential approach. We statistically consider the posterior probabilities and certainty in maximum likelihood classification and methodologically Dempster's orthogonal sums. Unfortunately, accuracy for the whole data sets has not assessed yet, but accuracy assessments in training fields and check fields shows accuracy improvement over 10% in overall accuracy and over 0.1 in kappa index.

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Application of DINEOF to Reconstruct the Missing Data from GOCI Chlorophyll-a (GOCI Chlorophyll-a 결측 자료의 복원을 위한 DINEOF 방법 적용)

  • Hwang, Do-Hyun;Jung, Hahn Chul;Ahn, Jae-Hyun;Choi, Jong-Kuk
    • Korean Journal of Remote Sensing
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    • 제37권6_1호
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    • pp.1507-1515
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    • 2021
  • If chlorophyll-a is estimated through ocean color remote sensing, it is able to understand the global distribution of phytoplankton and primary production. However, there are missing data in the ocean color observed from the satellites due to the clouds or weather conditions. In thisstudy, the missing data of the GOCI (Geostationary Ocean Color Imager) chlorophyll-a product wasreconstructed by using DINEOF (Data INterpolation Empirical Orthogonal Functions). DINEOF reconstructs the missing data based on spatio-temporal data, and the accuracy was cross-verified by removing a part of the GOCI chlorophyll-a image and comparing it with the reconstructed image. In the study area, the optimal EOF (Empirical Orthogonal Functions) mode for DINEOF wasin 10-13. The temporal and spatialreconstructed data reflected the increasing chlorophyll-a concentration in the afternoon, and the noise of outliers was filtered. Therefore, it is expected that DINEOF is useful to reconstruct the missing images, also it is considered that it is able to use as basic data for monitoring the ocean environment.

Changing Image Resolution In A Block Transform Domain (임의의 직교 블록 변환 영역에서의 영상 크기 변환 방법)

  • Lee, Nam-Koo;Oh, Hyung-Suk;Kim, Won-Ha
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • 제46권1호
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    • pp.49-55
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    • 2009
  • This paper develops a methodology for resizing the resolution of an image in an arbitrary block transform domain. To accomplish this, we represent the procedures resizing images in an orthogonal transform domain in the form of matrix multiplications from which the matrix scaling the image resolutions is produce. The experiments showed that the proposed method produces the reliable performances without increasing the computational complexity, compared to conventional methods when applied to various transforms.

Facial Image Type Classification and Shape Differences focus on 20s Korean Women (20대 한국여성의 얼굴이미지 유형과 형태적 특성)

  • Baek, Kyoung-Jin;Kim, Young-In
    • Journal of the Korean Society of Costume
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    • 제64권3호
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    • pp.62-76
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    • 2014
  • The purpose of this study is to classify the facial images and analyze shape characteristics of Korean women in their 20s. Previous research and survey were used for the study, the surveys targeted 220 university students in their 20s. The subjects of the experiment were 20-24 year-old Korean women. SPSS 12.0 statistics program was used to analyze the results, and factor analysis, Cronbach's ${\alpha}$ reliability analysis, and multidimensional scaling(MDS) were executed. The results of the study are as follows: First, the facial image types of Korean women in their 20s were classified into 4 categories as 'Youthfulness', 'Classiness', 'Friendliness', and 'Activeness'. Second, the multi-dimensional scaling method was performed and two orthogonal dimensions for the facial image of the Korean women were suggested: strong - soft and classy-friendly. Third, by analyzing the basic statistics concerning the structural characteristics of facial image of Korean women, there were differences in structural characteristics that form the facial images. Especially, significant difference appeared in items related forehead, eyebrows, eyes and jaw.

SYMMETRIC INTERPOLATING REFINABLE FUNCTION VECTORS

  • Kwon, Soon-Geol
    • Journal of applied mathematics & informatics
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    • 제25권1_2호
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    • pp.495-503
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    • 2007
  • Symmetric interpolating refinable function vectors with compact support are of interest in several applications such as signal processing, image processing and computer graphics. It is known in [13] that orthogonal interpolating refinable function vectors can not be symmetric for multiplicity r = 2 and dilation d = 2. In this paper, we shall investigate symmetric interpolating refinable function vectors with compact support for multiplicity r = 2 and dilation d = 2 by omitting orthogonality. To illustrate our theorems and results in this paper, we shall also present some examples of symmetric interpolating refinable function vectors with compact support and high order of sum rules.