• Title/Summary/Keyword: 부분국부적 표현

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An Edge Histogram Descriptor for MPEG-7 (MPEG-7을 위한 에지 히스토그램 서술자)

  • 박동권;전윤석;박수준;원치선
    • Journal of Broadcast Engineering
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    • v.5 no.1
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    • pp.31-40
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    • 2000
  • In this paper, we propose an edge histogram to efficiently represent the edge distribution in the image for MPEG-7. To this end, we adopt global, semi-global, and local edge histogram bins. Also, we extract the edge information from the image in terms of image blocks rather than pixels, which reduces the extraction complexity and is also applicable to the block-based compression standards such as MPEG-1, and 2. Experimental results show that the proposed method yields better retrieval accuracy and feature extraction speed comparing to other non-homogeneous texture descriptors of MPEG-7 including the wavelet-based descriptor and local edge-based descriptor.

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Font Classification of English Printed Character using Non-negative Matrix Factorization (NMF를 이용한 영문자 활자체 폰트 분류)

  • Lee, Chang-Woo;Kang, Hyun;Jung, Kee-Chul;Kim, Hang-Joon
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.41 no.2
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    • pp.65-76
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    • 2004
  • Today, most documents are electronically produced and their paleography is digitalized by imaging, resulting in a tremendous number of electronic documents in the shape of images. Therefore, to process these document images, many methods of document structure analysis and recognition have already been proposed, including font classification. Accordingly, the current paper proposes a font classification method for document images that uses non-negative matrix factorization (NMF), which is able to learn part-based representations of objects. In the proposed method, spatially total features of font images are automatically extracted using NMF, then the appropriateness of the features specifying each font is investigated. The proposed method is expected to improve the performance of optical character recognition (OCR), document indexing, and retrieval systems, when such systems adopt a font classifier as a preprocessor.

Material Topology Optimization Design of Structures using SIMP Approach Part II : Initial Design Domain with Topology of Partial Solids (SIMP를 이용한 구조물의 재료 위상 최적설계 Part II : 부분적인 솔리드 위상을 가지는 초기 설계영역)

  • Lee, Dong-Kyu;Park, Sung-Soo;Shin, Soo-Mi
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.20 no.1
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    • pp.19-28
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    • 2007
  • Discrete topology optimization processes of structures start from an initial design domain which is described by the topology of constant material densities. During optimization procedures, the structural topology changes in order to satisfy optimization problems in the fixed design domain, and finally, the optimization produces material density distributions with optimal topology. An introduction of initial holes in a design domain presented by Eschenauer et at. has been utilized in order to improve the optimization convergence of boundary-based shape optimization methods by generating finite changes of design variables. This means that an optimal topology depends on an initial topology with respect to topology optimization problems. In this study, it is investigated that various optimal topologies can be yielded under constraints of usable material, when partial solid phases are deposited in an initial design domain and thus initial topology is finitely changed. As a numerical application, structural topology optimization of a simple MBB-Beam is carried out, applying partial circular solid phases with varying sizes to an initial design domain.

Local Fault Detection Technique for Steel Cable using Multi-Channel Magnetic Flux Leakage Sensor (다채널 자속누설 센서를 이용한 강케이블의 국부 단면손상 검색)

  • Park, Seunghee;Kim, Ju-Won;Lee, Changgil;Lee, Jongjae;Gil, Heung-Bae
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.25 no.4
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    • pp.287-292
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    • 2012
  • In this study, Multi-Channel Magnetic Flux Leakage(MFL) sensor - based inspection system was applied to monitor the condition of cables. This inspection system measures magnetic flux to detect the local faults(LF) of steel cable. To verify the feasibility of the proposed damage detection technique, an 8-channel MFL sensor head prototype was designed and fabricated. A steel cable bunch specimen with several types of damage was fabricated and scanned by the MFL sensor head to measure the magnetic flux density of the specimen. To interpret the condition of the steel cable, magnetic flux signals were used to determine the locations of the flaws and the level of damage. Measured signals from the damaged specimen were compared with thresholds set for objective decision making. In addition, the magnetic flux density values measured from every channel were summed to focus on the detection of axial location. And, sum of flux density were displayed with threshold. Finally, the results were compared with information on actual inflicted damages to confirm the accuracy and effectiveness of the proposed cable monitoring method.

Computer Aided Design of the Fore and After Body of Fishing Vessel by Using B-Spline (B-Spline을 이용한 어선의 선수미부 초기 선형 설계)

  • Kim, Dong-Jun;Hong, Bong-Gi
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.27 no.1
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    • pp.75-82
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    • 1991
  • The present paper describes a preliminary design method by using the computer graphics for creation of the fore and after body profiles of fishing vessel. It is well known that the Form Parameter design method has some merits at an early stage of design, and the B-spline curve generation technique has some prior properties in representing hull form with the computer graphic. The B-spline curve generation technique combined with the form parameter design method is employed to generate the profiles of fishing vessel. For fore body the stem profiles with bulbous bulb or without one are considered. And for after body the stern profiles of cruiser type and the transom type are generated with stern bulb or with shoe piece. Several examples will shown.

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Motion Map Generation for Maintaining the Temporal Coherence of Brush Strokes in the Painterly Animation (회화적 애니메이션에서 브러시 스트로크의 시간적 일관성을 유지하기 위한 모션 맵 생성)

  • Park Youngs-Up;Yoon Kyung-Hyun
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.8
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    • pp.536-546
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    • 2006
  • Painterly animation is a method that expresses painterly images with a hand-painted appearance from a video, and the most crucial element for it is the temporal coherence of brush strokes between frames. A motion map is proposed in this paper as a solution to the issue of maintaining the temporal coherence in the brush strokes between the frames. A motion map is the region that frame-to-frame motions have occurred. Namely, this map refers to the region frame-to-frame edges move by the motion information with the motion occurred edges as a starting point. In this paper, we employ the optical flow method and block-based method to estimate the motion information. The method that yielded the biggest PSNR using the motion information (the directions and magnitudes) acquired by various methods of motion estimation has been chosen as the final motion information to form a motion map. The created motion map determine the part of the frame that should be re-painted. In order to express painterly images with a hand- painted appearance and maintain the temporal coherence of brush strokes, the motion information was applied to only the strong edges that determine the directions of the brush strokes. Also, this paper seek to reduce the flickering phenomenon between the frames by using the multiple exposure method and the difference map created by the difference between images of the source and the canvas. Maintenance of the coherence in the direction of the brush strokes was also attempted by a local gradient interpolation to maintain the structural coherence.

NC 가공을 위한 곡면 모델링에 관한 연구

  • 성원징;양균의
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1991.04a
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    • pp.356-362
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    • 1991
  • 자동차, 항공기, 선박등과 같은 산업제품과 전화기, TV브라운관과 같은 가전제품, 심미적 기능을 갖는 제품등과 같은 일상용품등은 많은 부분이 자유곡면(sculptured surface)으로 이루어져 있다. 이러한 해석적으로 정의 하기 어려운 제품 또는 그것을 생산하는데필요한 금형을 가공하는데 있어서 기존에는 석고 모형이나 목형을 이용한 모방 절삭을 하였다. 그러나 근래에는 자유곡면으로이루어진 제품을 설계하고 가공하는데 있어서 CAD/CAM system을 이용하고 있다. 제품의 곡면을 표현하거나 이들을 NC가공하기 위해서는 곡면을 나타내는 형상 정보가 필요 하고 이들 형상정보로 곡면모델링을 하여공구 경로를 구한다. 그러므로 이들 형상정보를 허용한도내에서 적절히 정하여 실제형상에 가까운 곡면을 형성하여야 한다. CAD/CAM 기술의 발달에 따라 다양한 형태의 곡면을 형성하는 기능을 가진 system이 많이 출현되었고 점토, 석고 또는 나무등으로 만든 physical model로 부터 얻어진 형상정보에 의해 surface fitting을 함으로서 자유곡면을 표현하는 방법이 많이 사용되고 있다. 어떠한 곡면을 표현할때는 곡면의 특성을 잘 표현하면서 전체적으로 smooth 한 것이 바람직하다. 그러므로 곡면의 형태를 설계자가 쉽게 이해할 수 있고 적은 수의 patch로도 복잡한 형상을 나타내야 하며 또한 국부적으로 수정이 용이하여야한다. 본 논문에서는 자유곡면을 나타낼 수 있는 수학적 표현 방법에 관하여 논하고, 해석적 곡면으로 부터 형상정보를 얻어 곡면 모델링을 한 후의 Ferguson곡면, UBS와 NUBS의 차이점을 분석하고, 이들 곡면과 해석적 곡면으로부터 얻은 실제곡면과의 오차를 측정하여 실제형상에 가까운 모델링 곡면을 찾고자 하였다.. 라. MCl(M:K$^{+}$, $Na^{+}$, NH$_{4}$$^{+}$ 및 H$^{+}$) 수용액 메디움에서의 Cd(II), Mg(II) 및 Zn(II)의 Dowex 1-X8, Cl$^{-}$ 수지에 대한 흡착은 역시 어떤 메디움에서도 Cd(II) 흡착이 제일 크며, 다음이 Zn(II) 이고 착이온을 형성않는 Mg(II)이 제일 작았다. 한편 메디움 종류별 D값의 크기순위는 H$^{+}$>K$^{+}$> $Na^{+}$>NH$_{4}$$^{+}$이였다. 메디움의 종류에 따라 D값의 차이가 나는 것은 금속이온의 착이온 형성과 금속이온의 용액내에서의 이온종의 상태와 관련이 있다고 생각된다. 마. MCl(M:K$^{+}$, $Na^{+}$, NH$_{4}$$^{+}$ 및 H$^{+}$)과 MNO$_{3}$ 용리액에 의한 Cd(II), Mg(II) 및 Zn(II)의 용리는 예상한 바와 같이 MCl에서 작은 Dv 값을 갖는데, 이것은 CdCl$_{4}$$^{2-}$ 착이온을 형성하거나 ZnCl$_{4}$$^{2-}$ , ZnCl$_{3}$$^{-}$같은 이온과 MgCl$^{+}$, MgCl$_{2}$같은 이온종을 형성하기 때문인것 같다. 한편 어떠한 용리액에서던지 N

Decision of Gaussian Function Threshold for Image Segmentation (영상분할을 위한 혼합 가우시안 함수 임계 값 결정)

  • Jung, Yong-Gyu;Choi, Gyoo-Seok;Heo, Go-Eun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.5
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    • pp.163-168
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    • 2009
  • Most image segmentation methods are to represent observed feature vectors at each pixel, which are assumed as appropriated probability models. These models can be used by statistical estimating or likelihood clustering algorithms of feature vectors. EM algorithms have some calculation problems of maximum likelihood for unknown parameters from incomplete data and maximum value in post probability distribution. First, the performance is dependent upon starting positions and likelihood functions are converged on local maximum values. To solve these problems, we mixed the Gausian function and histogram at all the level values at the image, which are proposed most suitable image segmentation methods. This proposed algoritms are confirmed to classify most edges clearly and variously, which are implemented to MFC programs.

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Structural Joint Damage Assessment Using Neural Networks (신경망을 이용한 구조물 접합부의 손상도 추정)

  • 방은영;이진학;윤정방
    • Journal of the Earthquake Engineering Society of Korea
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    • v.2 no.1
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    • pp.35-46
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    • 1998
  • Structural damage is used to be modeled through reductions in the stiffness of structural elements for the purpose of damage estimation of structural system. In this study, the concept of joint damage is employed for more realistic damage assessment of a steel structure. The joint damage is estimated damage based on the mode shape informations using neural networks, The beam-to-column connection in a steel frame structure is represented by a rotational spring at the fixed end of a beam element. The severity of joint damage is defined as the reduction ratio of the connection stiffness with respect to the value of the intact joint. The concept of the substructural identification is used for the localized damage assessment in a large structure. The feasibility of the proposed method is examined using an example with simulated data. It has been found that the joint damages can be reasonably estimated for the case with the measurements of the mode vectors subjected to noise.

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