• Title/Summary/Keyword: 모양연산자

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Magneto-optical Properties of 55Mn-doped SrTiO3 Single Crystal (55Mn이 첨가된 SrTiO3 단 결정의 광 전이 특성연구)

  • Bae, Kyu-Chan;Park, Jung-Il;Lee, Hyeong-Rag
    • Journal of the Korean Magnetics Society
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    • v.21 no.6
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    • pp.208-213
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    • 2011
  • We calculated the EPR (electron paramagnetic resonance) line-shape function. The line-widths of a -doped single crystal was studied as a function of the temperature with 0.5 and 2 at. at a frequency of (X-band). The line-width decreases with increasing temperature, such temperature behavior of the line-width can indicate a motional narrowing of the spectrum, when impurity ions substitute for host ions in an off-center position, and thus there can be fast jumping of dipoles between several symmetrically equivalent configurations. Therefore, the present technique is considered to be more convenient to explain the resonant system as in the case of other optical transition problems.

Investigation of Temperature Dependence for CNT Semiconductor in External Magnetic Field (외부 자기장내의 반도체 CNT의 온도의존 조사)

  • Park, Jung-Il;Lee, Haeng-Ki
    • Journal of the Korean Magnetics Society
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    • v.22 no.3
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    • pp.73-78
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    • 2012
  • We calculated the electron spin resonance (ESR) line-profile function. The line-width of single-walled carbon nanotube (SWNT) was studied as a function of the temperature at a frequency of 9.5 GHz in the presence of external electromagnetic radiation. The temperature dependence of the line-widths is obtained with the projection operator method (POM) proposed by Argyres and Sigel. The scattering is little affected in the low-temperature region (T < 200 K). We conclude that the calculation process presented in this method is useful for optical transitions in SWNT.

An Image Segmentation Algorithm using the Shape Space Model (모양공간 모델을 이용한 영상분할 알고리즘)

  • 김대희;안충현;호요성
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.2
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    • pp.41-50
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    • 2004
  • Since the MPEG-4 visual standard enables content-based functionalities, it is necessary to extract video objects from video sequences. Segmentation algorithms can largely be classified into two different categories: automatic segmentation and user-assisted segmentation. In this paper, we propose a new user-assisted image segmentation method based on the active contour. If we define a shape space as a set of all possible variations from the initial curve and we assume that the shape space is linear, it can be decomposed into the column space and the left null space of the shape matrix. In the proposed method, the shape space vector in the column space describes changes from the initial curve to the imaginary feature curve, and a dynamic graph search algorithm describes the detailed shape of the object in the left null space. Since we employ the shape matrix and the SUSAN operator to outline object boundaries, the proposed algorithm can ignore unwanted feature points generated by low-level image processing operations and is, therefore, applicable to images of complex background. We can also compensate for limitations of the shape matrix with a dynamic graph search algorithm.

Facial Feature Retraction for Face and Facial Expression Recognition (얼굴인식 및 표정 인식을 위한 얼굴 및 얼굴요소의 윤곽선 추출)

  • 이경희;변혜란;정찬섭
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 1998.11a
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    • pp.25-29
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    • 1998
  • 본 논문은 얼굴 인식 또는 표정 인식 분야에 있어서 중요한 특징을 나타내는 얼굴과 얼굴의 주요소인 눈과 입, 눈썹의 영역 추출 및 그의 윤곽선·추출에 관한 방법을 제시한다. 얼굴요소의 영역 추출은 엣지 정보와 이진화 영상을 병합하여 이용한 프로젝션 분석을 통하여 얼굴 및 각 얼굴요소를 포함하는 최소포함사각형(MER: Minimum Enclosing Rectangle)을 추출하였다. 얼굴 영상에 관련된 윤곽선 연구에는 가변 템플릿(Deformable Template), 스네이크(Snakes: Active Contour Model)를 이용하는 연구들이 이루어지고 있는데 가변 템플릿 방법은 수행시간이 느리고 추출된 윤곽선의 모양이 획일 된 모양을 갖는 특성이 있다. 본 논문에서는 사람마다 얼굴요소의 모양의 개인차가 반영되고 빠른 수렴을 할 수 있는 스네이크 모델을 정의하여 눈, 입, 눈썹, 얼굴의 윤곽선 추출 실험을 하였다. 또한 스네이크는 초기 윤곽선의 설정이 윤곽선의 추출 곁과에 큰 영향을 미치므로, 초기 윤곽선의 설정 과정이 매우 중요하다. 본 논문에서는 얼굴 및 각 얼굴요소를 포함하는 각각의 최소 포함 사각형(MER)을 추출하고, 이 추출된 MER 내에서 얼굴 및 각 얼굴요소의 일반적인 모양을 초기 윤곽선으로 설정하는 방법을 사용하였다. 실험결과 눈, 입, 얼굴의 MER의 추출은 모두 성공하였고, 눈썹이 흐린 사람들의 경우에만 눈썹의 MER추출이 졸지 않았다. 추출된 MER을 기반으로 하여 스네이크 모델을 적용한 결과, 눈, 입, 눈썹, 얼굴의 다양한 모양을 반영한 윤곽선 추출 결과를 보였다. 특히 눈의 경우는 1차 유도 엣지 연산자에 의한 엣지 와 2차 유도 연산자를 이용한 영점 교차점(Zero Crossing)과 병합한 에너지 함수를 설정하여 보다 더 나은 윤곽선 추출 결과를 보였다. 얼굴의 윤곽선의 경우도 엣지 값과 명도 값을 병합한 에너지 함수에 의해 비교적 정확한 결과를 얻을 수 있었다.잘 동작하였다.되는 데이타를 입력한후 마우스로 원하는 작업의 메뉴를 선택하면 된다. 방법을 타액과 혈청내 testosterone 농도 측정에 응용하여 RIA의 결과와 비교하여 본 바 상관관계가 타액에서 r=0.969, 혈청에서 r=0.990으로 두 결과가 잘 일치하였다. 본 실험에서 측정된 한국인 여성의 타액내 testosterone농도는 107.7$\pm$12.0 pmol/l이었고, 남성의 타액내 농도는 274.2$\pm$22.1 pmol/l이었다. 이상의 결과로 보아 본 연구에서 정립된 EIA 방법은 RIA를 대신하여 소규모의 실험실에서도 활용할 수 있을 것으로 사려된다.또한 상실기 이후 배아에서 합성되며, 발생시기에 따라 그 영향이 다르고 팽창과 부화에 관여하는 것으로 사료된다. 더욱이, 조선의 ${\ulcorner}$구성교육${\lrcorner}$이 조선총독부의 관리하에서 실행되었다는 것을, 당시의 사범학교를 중심으로 한 교육조직을 기술한 문헌에 의해 규명시켰다.nd of letter design which represents -natural objects and was popular at the time of Yukjo Dynasty, and there are some documents of that period left both in Japan and Korea. "Hyojedo" in Korea is supposed to have been influenced by the letter design. Asite- is also considered to have been "Japanese Letter Jobcheso." Therefore, the purpose of this study is to look into the origin of the letter designs in the Chinese character culture

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A Semi-Automatic Segmentation Algorithm using B-Spline Curves (B-Spline곡선을 이용한 반자동 영상분할 알고리즘)

  • 김대희;호요성
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2001.11b
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    • pp.155-160
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    • 2001
  • 대부분의 자동 영상분할 방법은 한 화면에서 개별 객체를 추출하기가 어렵고, 비디오 객체의 명확한 모델이 없어 자동분할 방법에는 한계가 존재한다. 본 논문에서는 이러한 문제점을 극복하기 위해 Active contour를 이용한 반자동 영상분할 방법을 제안한다. 일반적인 Active Contour 알고리즘은 유한개의 제어점을 설정하고 그 차이로 곡선의 특성을 묘사하므로 곡선 위의 제어점 사이의 모양 정보를 표현하는데 불충분하다 또한, 대부분의 Active Contour 알고리즘은 단순한 배경을 갖는 객체에는 잘 적용되도록 설계되었으나, 복잡한 배경을 갖는 객체에는 부적절한 단점을 가지고 있다. 따라서 본 논문은 B-Spline을 이용하여 곡선을 표현하고, 복잡한 영상에서도 좋은 성능을 갖도록 곡의치 외부 에너지는 SUSAN 연산자를 이용하여 추출하였다.

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Exploration of Curvature of Three Dimensional Convex Object by Active Touch of Robot Hand (로봇손의 능동접촉에 의한 3차원 볼록한 물체의 곡률탐사)

  • Choi, Hyouk-Ryeol;Kim, Jin-Ho;Oh, Sang-Rok
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.2 s.95
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    • pp.130-137
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    • 1999
  • In this paper we propose a method of determining the local curvature of a three dimensional convex object using the force and torque information obtained from the active touch of a robot hand. A technique for estimating two dimensional curvature of a convex object are introduced and the way of computing the three dimensional curvature from the two dimensional vurvatures is presented. Also, we develop an experimental system consisting of a finger and verify the effectiveness of the proposed method experimentally.

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Adaptive Block Truncation Coding Based on Gradient Information (경사도를 이용한 적응 구획 절단 부호화)

  • 신용달;이봉락;이건일
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.18 no.10
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    • pp.1546-1552
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    • 1993
  • We proposed an adaptive block truncation coding(BTC) using gradient and a new initial value. We used gradient of sobel operator as a new category classification coefficient to reduce Jagged appearance at edge part. We defined a new initial value to reduce large quantization error in the 4-level quantizer block including edge part. By computer simulations, we showed that the proposed method less computation load, reduced jagged appearance at edge part, also improved PSNR more than the conventional adaptive BTC.

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A Statistical Analysis of Edge Enhancing Filters and Their Effects on Edge Detection (에지개선 필터들의 통계적 분석과 에지검출에 대한 영향)

  • 박순영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.18 no.11
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    • pp.1635-1644
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    • 1993
  • In this paper, we examine the statistical characteristics of edge enhancing filters and their efficacy as preprocessing operator before edge detection. In particular, edge enhancing filters called the Comparison and Selection(CS), Hachimura-kuwahara(HK), and Selective Average(SA) filters are considered. These filters can reduce noise while producing step-type edges, thus seem to be effective for preprocessing noisy images prior to applying edge detecors. The ability of edge enhancing filters to suppress white Gaussian noise and the error probabilities occured during the edge detection following SA prefiltering are evaluated statistically through numerical analysis. The effect of prefiltering on edge detection is assessed by applying the edge enhancing fitters to a noise image degraded by additive white noise prior to applying the Sobel operator and the Laplacian of Gaussian( LoG ) operator, respectively. It is shown that the edge enhancing filters tend to produce ideal step-type edges while reducing the noise reasonably well, and the use of edge enhancing filters prior to edge detection can improve the performance of subsequent edge detector.

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Shape Extraction of Near Target Using Opening Operator with Adaptive Structure Element in Infrared hnages (적응적 구조요소를 이용한 열림 연산자에 의한 적외선 영상표적 추출)

  • Kwon, Hyuk-Ju;Bae, Tae-Wuk;Kim, Byoung-Ik;Lee, Sung-Hak;Kim, Young-Choon;Ahn, Sang-Ho;Sohng, Kyu-Ik
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.9C
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    • pp.546-554
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    • 2011
  • Near targets in the infrared (IR) images have the steady feature for inner region and the transient feature for the boundary region. Based on these features, this paper proposes a new method to extract the fine target shape of near targets in the IR images. First, we detect the boundary region of the candidate targets using the local variance weighted information entropy (WIE) of the original images. And then, a coarse target region can be estimated based on the labeling of the boundary region. For the coarse target region, we use the opening filter with an adaptive structure element to extract the fine target shape. The decision of the adaptive structure element size is optimized for the width information of target boundary by calculating the average WIE in the enlarged windows. The experimental results show that a proposed method has better extraction performance than the previous threshold algorithms.

Facial Feature Detection and Facial Contour Extraction using Snakes (얼굴 요소의 영역 추출 및 Snakes를 이용한 윤곽선 추출)

  • Lee, Kyung-Hee;Byun, Hye-Ran
    • Journal of KIISE:Software and Applications
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    • v.27 no.7
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    • pp.731-741
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    • 2000
  • This paper proposes a method to detect a facial region and extract facial features which is crucial for visual recognition of human faces. In this paper, we extract the MER(Minimum Enclosing Rectangle) of a face and facial components using projection analysis on both edge image and binary image. We use an active contour model(snakes) for extraction of the contours of eye, mouth, eyebrow, and face in order to reflect the individual differences of facial shapes and converge quickly. The determination of initial contour is very important for the performance of snakes. Particularly, we detect Minimum Enclosing Rectangle(MER) of facial components and then determine initial contours using general shape of facial components within the boundary of the obtained MER. We obtained experimental results to show that MER extraction of the eye, mouth, and face was performed successfully. But in the case of images with bright eyebrow, MER extraction of eyebrow was performed poorly. We obtained good contour extraction with the individual differences of facial shapes. Particularly, in the eye contour extraction, we combined edges by first order derivative operator and zero crossings by second order derivative operator in designing energy function of snakes, and we achieved good eye contours. For the face contour extraction, we used both edges and grey level intensity of pixels in designing of energy function. Good face contours were extracted as well.

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