• 제목/요약/키워드: curvature scale space

검색결과 29건 처리시간 0.026초

Space-Time Characteristics of the Wall Shear-Stress Fluctuations in an Axial Turbulent Boundary Layer with Transverse Curvature

  • Shin, Dong-Shin;Lee, Seung-Bae;Na, Yang
    • Journal of Mechanical Science and Technology
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    • 제19권8호
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    • pp.1682-1691
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    • 2005
  • Direct numerical simulation database of an axial turbulent boundary layer is used to compute frequency and wave number spectra of the wall shear-stress fluctuations in a low-Reynolds number axial turbulent boundary layer. One-dimensional and two-dimensional power spectra of flow variables are calculated and compared. At low wave numbers and frequencies, the power of streamwise shear stress is larger than that of spanwise shear stress, while the powers of both stresses are almost the same at high wave numbers and frequencies. The frequency/streamwise wave number spectra of the wall flow variables show that large-scale fluctuations to the rms value is largest for the stream wise shear stress, while that of small-scale fluctuations to the rms value is largest for pressure. In the two-point auto-correlations, negative correlation occurs in streamwise separations for pressure, and in span wise correlation for both shear stresses.

모양기반 식물 잎 이미지 검색을 위한 표현 및 매칭 기법 (A Representation and Matching Method for Shape-based Leaf Image Retrieval)

  • 남윤영;황인준
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제32권11호
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    • pp.1013-1020
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    • 2005
  • 본 논문은 모양 특성을 이용한 효과적인 식물 잎 이미지 검색 시스템을 제시한다. 잎 이미지의 더 효과적인 표현을 위해 개선된 MPP 알고리즘을 제안하고, 매칭에 소요되는 시간을 줄이기 위해 기존의 Nearest Neighbor(NN) 검색을 수정한 동적인 매칭 알고리즘을 제시한다. 특히, 더 나은 정확율과 효율성을 위해, 잎 모양과 잎차례를 스케치하여 질의할 수 있도록 하였다. 실험에서는 제안한 알고리즘과 기존의 알고리즘인 CCD(Centroid Contour Distance), Fourier Descriptor. Curvature Scale Space Descriptor (CSSD), Moment Invariants, MPP와 비교하였다. 1000여개의 식물 잎 이미지를 통한 실험결과는 제안한 방법이 기존의 기법보다 더 좋은 성능임을 보였다.

색상과 형태를 이용한 내용 기반 영상 검색 (Content-based Image Retrieval Using Color and Shape)

  • 하정요;최미영;최형일
    • 한국컴퓨터정보학회논문지
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    • 제13권1호
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    • pp.117-124
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    • 2008
  • 본 논문에서는 색상정보와 형태정보를 이용한 내용기반 영상 검색방법을 제안한다. 이미지의 한 가지 특징만을 고려한 내용 기반 이미지 검색은 두 가지 이상의 특징 정보를 이용했을 때와 비교하여 정확도가 떨어져 성능을 저하시킬 수 있다. 따라서 여러 검색 시스템에서는 색상이나 형태, 질감 등과 같은 이미지의 다양한 특징들을 혼합하여 검색에 이용하고 있다. 본 연구는 각 영상의 Hue값에 대한 색상정보와 CSS(Curvature Scale Space)를 이용한 형태정보를 사용한다. 각 영상들의 특징 정보와 데이터베이스에 저장된 영상들의 특징 정보들을 비교하여 유사도 순위에 따라 후보영상들이 검색된다. 실험 결과 색상정보나 형태정보 한가지의 특징만을 사용한 경우 보다 정확도와 재현율면에서 사용자가 원하는 이미지와 보다 유사한 결과를 검출할 수 있었다.

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The effect of field-line twist on the dynamic nature and electric current structure of emerging magnetic field on the Sun

  • 안준모;;이환희;강지혜
    • 천문학회보
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    • 제37권1호
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    • pp.87.1-87.1
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    • 2012
  • We use three-dimensional magnetohydrodynamic simulations to investigate how the dynamic state of emerging magnetic field is related to the twist of field lines. Emergence of magnetic field is considered as one of the key physical process producing solar activity such as flares, jets, and coronal mass ejections. To understand these activities we have to know dynamic nature and electric current structure provided by emerging magnetic field. To demonstrate dynamic nature of field lines, we focus on the factors such as curvature of magnetic field line and scale height of magnetic field strength. These factors show that strong twist case forms two-part structure in which the central part is close to a force-free state while the outer marginal part is in a fairly dynamic state. For weak twist case, it still shows two-part structure but the tendency becomes weaker than strong twist case. We discuss how the curvature distribution affects the dynamic nature of emerging magnetic field. We also investigate electric current distribution provided by emerging field lines to show a possible relation between electric current structure and sigmoid observed in a preflare phase.

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DETECTION AND COUNTING OF FLOWERS BASED ON DIGITAL IMAGES USING COMPUTER VISION AND A CONCAVE POINT DETECTION TECHNIQUE

  • PAN ZHAO;BYEONG-CHUN SHIN
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제27권1호
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    • pp.37-55
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    • 2023
  • In this paper we propose a new algorithm for detecting and counting flowers in a complex background based on digital images. The algorithm mainly includes the following parts: edge contour extraction of flowers, edge contour determination of overlapped flowers and flower counting. We use a contour detection technique in Computer Vision (CV) to extract the edge contours of flowers and propose an improved algorithm with a concave point detection technique to find accurate segmentation for overlapped flowers. In this process, we first use the polygon approximation to smooth edge contours and then adopt the second-order central moments to fit ellipse contours to determine whether edge contours overlap. To obtain accurate segmentation points, we calculate the curvature of each pixel point on the edge contours with an improved Curvature Scale Space (CSS) corner detector. Finally, we successively give three adaptive judgment criteria to detect and count flowers accurately and automatically. Both experimental results and the proposed evaluation indicators reveal that the proposed algorithm is more efficient for flower counting.

컴퓨터비전에서 사용되는 모양표시자의 현황 (A Survey of Shape Descriptors in Computer Vision)

  • 유헌우;장동식
    • 제어로봇시스템학회논문지
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    • 제9권2호
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    • pp.131-139
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    • 2003
  • Shape descriptors play an important role in systems for object recognition, retrieval, registration, and analysis. Seven well-known descriptors including MPEG-7 visual descriptors arebriefly reviewed and a new robust pattern recognition descriptor is proposed. Performance comparison among descriptors are presented. Experiments show that the newly proposed descriptor yields better performance results than Fourier, invariant moment, and edge histogram descriptors.

다면채 모델 방법을 이용한 효율적 코너 에지 추출에 관한 연구 (A study of the effective corner edge detection using facet model method)

  • 전진오;김혁만
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2001년도 가을 학술발표논문집 Vol.28 No.2 (2)
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    • pp.409-411
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    • 2001
  • 임의의 입력 영상을 이해함에 있어서 코너점은 디지털 영상의 중요한 정보가 집중되어 있기 때문에 형태를 분석하는데 있어 중요한 요소이다. 본 논문은 영상의 중요한 정보 요소인 코너점을 보다 정확하게 추출하기 위하여 Farzin Mokhtarian과 Riku Suomela가 제안한 CSS(Curvature Scale Space) 방법에 기초한 다면체 모델 방법을 이용한 새로운 알고리즘을 제안하고자 한다.

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Small-scale Features of Thermal Inflation: CMB Distortion, Substructure Abundance, and 21cm Power Spectrum

  • 홍성욱;조희승;안경진;조기현
    • 천문학회보
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    • 제42권2호
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    • pp.78.4-79
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    • 2017
  • Thermal inflation is an additional inflationary mechanism before the big bang nucleosynthesis, which solves the moduli problem and naturally provides a plausible dark matter candidate. Thermal inflation leaves a slight enhancement followed by huge suppression of a factor of ~50 in the curvature and matter power spectrum, which can be expressed in terms of a single characteristic scale $k_b$. Here we describe the observability of the small-scale features of thermal inflation from various observations, such as CMB distortion, satellite galaxy abundance in the Milky-Way-sized galaxies, and 21-cm power spectrum before the epoch of reionization.

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축방향 난류경계층에서 벽면마찰 섭동량의 공간 및 시간에 따른 특성 (Space-Time Characteristics of the Wall Shear-Stress Fluctuations in a Low-Reynolds Number Axial Turbulent Boundary Layer)

  • 신동신
    • 설비공학논문집
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    • 제15권11호
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    • pp.895-901
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    • 2003
  • Direct numerical simulation database of an axial turbulent boundary layer is used to compute frequency and wave number spectra of the wall shear-stress fluctuations in a low-Reynolds number axial turbulent boundary layer. One-dimensional and two-dimensional power spectra of flow variables are calculated and compared. At low wave numbers and frequencies, the power of streamwise shear stress is larger than that of spanwise shear stress, while the powers of both stresses are almost the same at high wave numbers and frequencies. The frequency/streamwise wave number spectra of the wall flow variables show that large-scale fluctuations to the ms value is largest for the streamwise shear stress, while that of small-scale fluctuations to the rms value is largest for pressure. In the two-point auto-correlations, negative correlation occurs in streamwise separations for pressure and spanwise shear stress, and in spanwise correlation for both shear stresses.

The effect of field-line twist on the dynamic and electric current structures of emerging magnetic field on the Sun

  • An, Jun-Mo;Lee, Hwan-Hee;Kang, Ji-Hye;Magara, Tetsuya
    • 천문학회보
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    • 제36권2호
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    • pp.102.1-102.1
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    • 2011
  • In this study we use three-dimensional magnetohydrodynamic simulations to investigate how the dynamic state of emerging magnetic field is related to the twist of field lines. Emerging magnetic field forms a magnetic structure on the Sun where various kinds of activity such as solar flares, jets, and coronal mass ejections are observed. To understand the physical mechanism for producing such activity, we have to know the dynamic nature of this structure. Since flares are the manifestation of rapidly dissipating electric current in the corona, we also investigate the distribution of current density inside the structure and examine how it depends on the field-line twist. To demonstrate the dynamic structure of emerging magnetic field, we focus on the factors characterizing the geometric property and stratification of emerging magnetic field, such as the curvature of field line and the scale height of field strength. These two factors show that emerging field forms a two-part structure in which the central part is close to a force-free state while the outer marginal part is in a fairly dynamic state where magnetic pressure force is dominant. We discuss how the field-line twist affects the two-part structure and also explain a possible relation between electric current structure and sigmoid observed in a preflare phase.

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