• 제목/요약/키워드: Laplacian filter

검색결과 57건 처리시간 0.023초

스테레오 정합 특징 요소 선택을 위한 잡음 감소 필터링과 에지 검출 필터링의 성능 평가와 결합 (An Evaluation and Combination of Noise Reduction Filtering and Edge Detection Filtering for the Feature Element Selection in Stereo Matching)

  • 문창기;예철수
    • 대한원격탐사학회지
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    • 제23권4호
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    • pp.273-285
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    • 2007
  • 대부분의 스테레오 정합 방법은 두 점간의 대응점을 측정하는데 있어 밝기값을 사용하며 잡음의 영향을 받은 화소가 정합에 사용될 경우 정합 성능이 저하된다. 따라서 잡음은 정합 성능을 결정짓는 중요한 역할을 한다. 본 논문에서는 고해상도 위성영상에서 정합 성능을 향상시키기 위해 잡음에 강건한 밝기 필터와 에지 필터를 이용하여 정합하는 방법을 제안한다. Mean, Median, Midpoint, Gaussian 필터와 같은 밝기 필터와 Gradient, Roberts, Prewitt, Sobel, Laplacian 필터와 같은 에지 필터를 사용하였다. 에지필터와 밝기 필터의 성능 평가를 위해 균일 잡음 또는 가우시안 잡음이 첨가된 합성 영상과 위성 영상에 대해 실험을 수행하였고 필터들은 성능에 따라 순위를 정하였다. 밝기 필터와 에지 필터들 중에서 Median 필터와 Sobel 필터가 가장 우수한 성능을 나타낸 반면에 Midpoint 필터와 Laplacian 필터는 가장 저조한 성능을 나타내었다. Ikonos 스테레오 위성영상을 실험 영상으로 사용하였으며 Median 필터와 Sobel 필터를 이용한 정합 방법이 다른 필터 조합을 이용한 정합 방법보다 향상된 정합 결과를 나타내었다.

An Optimal Method to Improve the Visual Quality of Medical Images

  • Shin, Choong-ho;Jung, Chai-yeoung
    • 통합자연과학논문집
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    • 제8권2호
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    • pp.141-144
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    • 2015
  • As the visual quality of X-ray images is a critical reference for the accuracy of the clinical diagnosis, the methods to improve the quality of X-ray images have been investigated. Among many existing methods, using frequency domain filter is a very powerful method to improve the visual quality of images. In this paper, the inherent noises of the input images are suppressed by adding the Laplacian image to the subjected image. The medical X-ray images using the optimal high pass filter has shown improved edges. Further, the optimal high frequency emphasis filter has shown the improved contrast of flat areas by using the result image from the optimal high pass filter. Also the resulting images of the global contrast have improved by the histogram equalization. As a result, the proposed methods have shown enhanced contrast and edges of the images with noise canceling effect.

스마트 내비게이션을 위한 TPLF 기반 다중차선 검출 기법 (Multi-lane Detection using TPLF for Smart Navigation)

  • 김성호;권순
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2014년도 춘계학술대회
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    • pp.896-897
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    • 2014
  • 스마트 내비게이션을 위해 차량의 차선 위치를 인식할 필요가 있다. 본 논문에서는 이를 위한 선행 연구로 다중차선 검출 기법을 제안한다. 기존 Box filter, Step filter가 클러터에 취약한 부분을 보완하기 위해 Three Point Laplacian Filter (TPLF)를 제안하고 실험적으로 그 가능성을 검증한다.

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An Enhanced Algorithm for an Optimal High-Frequency Emphasis Filter Based on Fuzzy Logic for Chest X-Ray Images

  • Shin, Choong-Ho;Lee, Jung-Jai;Jung, Chai-Yeoung
    • Journal of information and communication convergence engineering
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    • 제13권4호
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    • pp.264-269
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    • 2015
  • The chest X-ray image cannot be focused in the same manner that optical lenses are and the resultant image generally tends to be slightly blurred. Therefore, the methods to improve the quality of chest X-ray image have been studied. In this paper, the inherent noises of the input images are suppressed by adding the Laplacian image to the original. First, the chest X-ray image using an Gaussian high pass filter and an optimal high frequency emphasis filter has shown improvements in the edges and contrast of flat areas. Second, using fuzzy logic_histogram equalization, each pixel of the chest X-ray image shows the normal distribution of intensities that are not overexposed. As a result, the proposed method has shown the enhanced edge and contrast of the images with the noise canceling effect.

Construction of the Spherical High-Order Filter for Applications to Global Meteorological Data

  • Cheong, Hyeong-Bin;Jeong, Han-Byeol
    • 한국지구과학회지
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    • 제36권5호
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    • pp.476-483
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    • 2015
  • The high-order Laplacian-type filter, which is capable of providing isotropic and sharp cut-off filtering on the spherical domain, is essential in processing geophysical data. In this study, a spherical high-order filter was designed by combining the Fourier method with finite difference-method in the longitude and latitude, respectively. The regular grid system was employed in the filter, which has uniform angular spacing including the poles. The singularity at poles was eliminated by incorporating variable transforms and continuity-matching boundary conditions across poles. The high-order filter was assessed using the Rossby-Haurwitz wave, the observed geopotential, and observed wind field. The performance of the filter was found comparable to the filter based on the Galerkin procedure. The filter, employing the finite difference method, can be designed to give any target order of accuracy, which is an important advantage being unavailable in other methods. The computational complexity is represented with 2n-1 diagonal matrices solver with n being the target order of accuracy. Along with the availability of arbitrary target-order, it is also advantageous that the filter can adopt the reduced grid to increase computational efficiency.

이미지프로세싱을 이용한 가공면의 표면거칠기 측정에 관한 연구 (A study on the cutting surface roughness measurement by image processing)

  • 소의열;임영호
    • 한국정밀공학회지
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    • 제11권5호
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    • pp.124-133
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    • 1994
  • Many of non-contact measuring systems are used to estimate surface characteristics owing to their advantages of high speed and undanaged test. In this paper, a new measuring system is proposed to acquire image from CCD camera through back light illumination. Lowpass filter is very useful in view of noise removal and optimum binary image can be made through histogram equalization which is one of the histogram technique to maximize brightness intensity between workpiece and background. Laplacian operator is used to detect workpiece edge from binary image. In case of image treatment applying Laplacian operator, surface roughness is calculated by introducing conversion coefficient for coordinate of pixel which edge is composed of. In summary, the work is concerned with the development of a new technique for roughness measurement by the image processing in turning.

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저조도 환경에서 명암도 분석 기반의 에지 검출 (Edge Detection based on Contrast Analysis in Low Light Level Environment)

  • 박화정;김남호
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2022년도 춘계학술대회
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    • pp.437-440
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    • 2022
  • 현대 사회는 4차 산업 혁명과 IoT 기술 등의 발전으로 영상 처리 분야의 활용이 급증하고 있다. 특히, 에지 검출은 이미지 분류, 객체 검출 등 영상 처리 응용에서 필수적인 전처리 과정으로 여러 분야에서 널리 사용되고 있다. 에지를 검출하기 위한 기존의 방법에는 소벨 필터(Sobel edge detection filter), 로버츠 필터(Roberts edge detection filter), 프리윗 필터(Prewitt edge detection filter), LoG(Laplacian of Gaussian) 등이 있다. 하지만 기존의 방법들은 명암도가 낮은 저조도 환경에서 에지 검출 특성이 다소 미흡한 성능을 보인다는 단점이 있다. 따라서 본 논문에서는 저조도 환경에서도 에지 검출 특성을 높이기 위해 명암도 분석에 기반한 에지 검출 알고리즘을 제안한다.

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A Finite Element Galerkin High Order Filter for the Spherical Limited Area Model

  • Lee, Chung-Hui;Cheong, Hyeong-Bin;Kang, Hyun-Gyu
    • 한국지구과학회지
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    • 제38권2호
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    • pp.105-114
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    • 2017
  • Two dimensional finite element method with quadrilateral basis functions was applied to the spherical high order filter on the spherical surface limited area domain. The basis function consists of four shape functions which are defined on separate four grid boxes sharing the same gridpoint. With the basis functions, the first order derivative was expressed as an algebraic equation associated with nine point stencil. As the theory depicts, the convergence rate of the error for the spherical Laplacian operator was found to be fourth order, while it was the second order for the spherical Laplacian operator. The accuracy of the new high order filter was shown to be almost the same as those of Fourier finite element high order filter. The two-dimension finite element high order filter was incorporated in the weather research and forecasting (WRF) model as a hyper viscosity. The effect of the high order filter was compared with the built-in viscosity scheme of the WRF model. It was revealed that the high order filter performed better than the built in viscosity scheme did in providing a sharper cutoff of small scale disturbances without affecting the large scale field. Simulation of the tropical cyclone track and intensity with the high order filter showed a forecast performance comparable to the built in viscosity scheme. However, the predicted amount and spatial distribution of the rainfall for the simulation with the high order filter was closer to the observed values than the case of built in viscosity scheme.

하드웨어 잡음발생기의 랜덤 특성 분석 (Analysis of Randomness Characteristics of Hardware Noise Generator)

  • 홍진근
    • 한국산학기술학회논문지
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    • 제12권1호
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    • pp.263-267
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    • 2011
  • 본 논문은 하드웨어 잡음원 기반으로 하는 발생기에서 출력되는 정보의 랜덤성 특성을 분석하였다. 또한 발생기 출력열에 라플라시안 필터를 적용하여 보안성을 개선하였다. 먼저 하드웨어 잡음 발생기 출력열의 랜덤성 검증기준을 살펴보고, 라플라시안 필터가 적용된 발생기의 출력열 개선 결과를 제시하였다.

HSI 색정보와 관심영역(ROI-LB)을 이용한 차선검출 알고리듬 (A Road Lane Detection Algorithm using HSI Color Information and ROI-LB)

  • 최인석;정차근
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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    • pp.222-224
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    • 2009
  • This paper presents an algorithm that extracts road lane's specific information by using HSI color information and performance enhancement of lane detection base on vision processing of drive assist. As a preprocessing for high speed lane detection, the optimal extraction of region of interest for lane boundary(ROI-LB) can be processed to reduction of detection region in which high speed processing is enabled and it also increases reliabilities by deleting edges those are misrecognized. Road lane is extracted with simultaneous processing of noise reduction and edge enhancement using the Laplacian filter, the reliability of feature extraction can be increased for various road lane patterns. Since noise can be removed by using saturation and brightness of HSI color model. Also it searches for the road lane's color information and extracts characteristics. The real road experimental results are presented to evaluate the effectiveness of the proposed method.

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