• 제목/요약/키워드: step edge

검색결과 379건 처리시간 0.023초

co-occurrence 행렬을 이용한 에지 검출 (Edge Detection Using the Co-occurrence Matrix)

  • 박덕준;남권문;박래홍
    • 전자공학회논문지B
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    • 제29B권11호
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    • pp.111-119
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    • 1992
  • In this paper, we propose an edge detection scheme for noisy images based on the co-occurrence matrix. In the proposed scheme based on the step edge model, the gray level information is simply converted into a bit-map, i.e., the uniform and boundary regions of an image are transformed into a binary pattern by using the local mean. In this binary bit-map pattern, 0 and 1 densely distributed near the boundary region while they are randomly distributed in the uniform region. To detect the boundary region, the co-occurrence matrix on the bit-map is introduced. The effectiveness of the proposed scheme is shown via a quantitative performance comparison to the conventional edge detection methods and the simulation results for noisy images are also presented.

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레티넥스 이론과 에지를 이용한 졸음 감지 시스템 개발 (Development of a Drowsiness Detection System using Retinex Theory and Edge Information)

  • 강수민;허경무;이승하
    • 제어로봇시스템학회논문지
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    • 제22권9호
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    • pp.699-704
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    • 2016
  • In this paper, we propose a development method for a drowsiness detection system using retinex theory and edge information for vehicle safety. Detection of a drowsy state of a driver is very important because the drowsiness of driver is often the main cause of many car accidents. After acquiring an image of the entire face, we executed the pre-process step using the retinex theory. We then applied a technique for the detection of the white pixels using edge information. Experimental results showed that the proposed method improved the accuracy of detecting drowsiness to nearly 98%, and can be used to prevent a car accident caused by the driver's drowsiness.

Face Detection Based on Thick Feature Edges and Neural Networks

  • Lee, Young-Sook;Kim, Young-Bong
    • 한국멀티미디어학회논문지
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    • 제7권12호
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    • pp.1692-1699
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    • 2004
  • Many researchers have developed various techniques for detection of human faces in ordinary still images. Face detection is the first imperative step of human face recognition systems. The two main problems of human face detection are how to cutoff the running time and how to reduce the number of false positives. In this paper, we present frontal and near-frontal face detection algorithm in still gray images using a thick edge image and neural network. We have devised a new filter that gets the thick edge image. Our overall scheme for face detection consists of two main phases. In the first phase we describe how to create the thick edge image using the filter and search for face candidates using a whole face detector. It is very helpful in removing plenty of windows with non-faces. The second phase verifies for detecting human faces using component-based eye detectors and the whole face detector. The experimental results show that our algorithm can reduce the running time and the number of false positives.

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퍼지 논리를 이용한 Subpixel 정확도 Edge 검출 (Edge detection at subpixel accuracy using fuzzy logic)

  • 김영욱;양우석
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.105-108
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    • 1996
  • In this paper, we present an interpolation schema for image resolution enhancement using fuzzy logic. Proposed algorithm can recover both low and high frequency information in image data. In general, interpolation techniques are based on linear operators which are essentially details in the original image. In our fuzzy approach, the operator itself balances the strength of its sharpening and noise suppressing components according to the properties of the input image data. The proposed interpolation algorithm is performed in three step. First logic reasoning is applied to coarsely interpret the high frequency information. These results are combined to obtain the optical output. Using our approach, resolution of the original image can be applied to various kind of image processing topics such as image enhancement, subpixel edge detection, and filtering.

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근사적 가우스에지 검출기 (An Approximate Gaussian Edge Detector)

  • 정호열;김회진;최태영
    • 한국통신학회논문지
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    • 제17권7호
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    • pp.709-718
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    • 1992
  • 본 논문에서는 준최적 계단 에지 검출기로 알려진 1차 미분 가우스 연산자(DroG)의 등가형으로 2개의 가우스 여파기를 합성한 새로운 에지 검출 연산자를 제안하였다. 이 에지 검출기는 성능면(신호대 잡음비,에지위치와 다중에지 발생률)에서 DroG와 거의 대등함을 보였다. 또한, 이 에지 검출기는 DroG와 LoG(Laplscian of Gaussian)시스템에서 공통으로 2차원 저역 여파기를 사용하기 때문에, 기존의 DroG시스템 연산량의 절반 정도로 계산량을 줄일 수 있었다.

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Seam Blade의 개발을 위한 성능시험평가 (Performance Test for the Development of Seam Blade)

  • 박홍광;노병준;이지근;조민호
    • 유체기계공업학회:학술대회논문집
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    • 유체기계공업학회 2006년 제4회 한국유체공학학술대회 논문집
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    • pp.555-556
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    • 2006
  • An experimental performance test has been carried out to improve a new blade with higher performance. Most of blades of the fan are designed to be a seamless and simple type, and the flow momentum can generally be evaluated to be comparatively low. Because some portions of the blowing winds can easily be passed through the seamless sharp edge of the blade, and several results studied on these problems have been reported: on the simple blade with edge-line seam, on the simple blade with guide seam. However the results do not show the remarkable increasement of performance of the blades. In this experimental performance test of the blades the design techniques of the blades with double seams (stem seam and edge seam) and comparison tests have been focused. As a first step the comparisons of velocity distributions and flow-rates depending upon the blade are presented in this paper.

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컴퓨터 비젼 시스템을 이용한 알루미늄표면 검사 알고리즘 개발 (Used the Computer Vision System Develop of Algorithm for Aluminium Mill Strip Defect Inspection)

  • 이용중
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2000년도 춘계학술대회논문집 - 한국공작기계학회
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    • pp.115-120
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    • 2000
  • This study is on the application the image processing algorithm for inspection of the aluminium mill strip surface defect. The image of surface defect data was obtained using the CCD camera with the digital signal board. The edge was found from the difference of pixel intensity between the normal image and defect image. Two step were taken to find the edge in the image processing algorithm. First, noise was removed by using the median filter in the image. Second, the edge was sharpened in detail by using the sharpening convolution filter in the image. Canny algorithm was used to defect the exact edge. The defect section was separated from the original image is to find the coordination point p1 and p2 which include the defect image

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THIN FILM TECHNOLOGIES RELATED TO THE HIGH T$_{c}$ SUPERCONDUCTORS

  • Ri, Eui-Jae
    • 한국표면공학회지
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    • 제29권5호
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    • pp.415-423
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    • 1996
  • Thin film technologies for fabricating SQUIDs involve etching and deposition procedures with the proper substrate materials and $YBa_2Cu_3O_{7-d}$ (YBCO) as the high $T_c$ superconductor. YBCO were prepared on various substrates of MgO, $SrTiO_3$, and $LaAlO_3$ by using off-axis magnetron sputtering methods and annealing in-situ. The parameters of film fabrication processes had been optimized to yield good quality films in terms of the critical temperature $T_c$ and the critical current density $J_c$. The optimized processes yielded $T_C$>90K along with $J_c$>$10_6A$$extrm{cm}^2$ at 77K and>$2\times10_7A/Cm^2$ at 5K. We fabricated step-edge type dc-SQUIDs and directly coupled magnetometers, producing step edges on MgO(100) substrates by etching with Ar-ion beam, depositing YBCO material on them, then patterning them by using ion-milling technique. Circuitizing washer-shape SQUIDs to possess a pair of step-edge junctions of 2-5$\mu$ line width with a high angle>$50^{\circ}C$ , we examined their I-V characteristics thoroughly and Shapiro steps clearly as we irradiate microwaves of 8-20 GHz frequency.

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Speckle Noise Reduction and Edge Enhancement in Ultrasound Images Based on Wavelet Transform

  • Kim, Yong-Sun;Ra, Jong-Beom
    • 대한의용생체공학회:의공학회지
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    • 제29권2호
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    • pp.122-131
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    • 2008
  • For B-mode ultrasound images, we propose an image enhancement algorithm based on a multi-resolution approach, which consists of edge enhancing and noise reducing procedures. Edge enhancement processing is applied sequentially to coarse-to-fine resolution images obtained from wavelet-transformed data. In each resolution, the structural features of each pixel are examined through eigen analysis. Then, if a pixel belongs to an edge region, we perform two-step filtering: that is, directional smoothing is conducted along the tangential direction of the edge to improve continuity and directional sharpening is conducted along the normal direction to enhance the contrast. In addition, speckle noise is alleviated by proper attenuation of the wavelet coefficients of the homogeneous regions at each band. This region-based speckle-reduction scheme is differentiated from other methods that are based on the magnitude statistics of the wavelet coefficients. The proposed algorithm enhances edges regardless of changes in the resolution of an image, and the algorithm efficiently reduces speckle noise without affecting the sharpness of the edge. Hence, compared with existing algorithms, the proposed algorithm considerably improves the subjective image quality without providing any noticeable artifacts.

디지털 의료영상에서 Edge method에 의한 Modulation Transfer Function 보정방법과 특이성 (Edge Profile Correction for Modulation Transfer Function on Digital X-ray Imaging System)

  • 김정민
    • 대한방사선기술학회지:방사선기술과학
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    • 제30권3호
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    • pp.251-257
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    • 2007
  • 디지털 MTF의 정확도를 결정하는 요소로는 정확한 엣지 각도의 결정, 합성 ESF 또는 합성 LSF을 작성을 위한 재 샘플링, 스무징, 커브핏팅 등을 들 수가 있다. 본 실험에서는 Edge를 이용한 MTF커브 핏팅방법을 구현하였고, 슬릿법에 의한 MTF산출결과와 비교하였다. 실험결과 공간주파수 2.0 LP/mm 근방까지의 저주파수영역에서는 엣지법이 높은 수치를 나타내며 2.0 LP/mm 이상의 주파수 영역에서는 MTF값이 역전이 되어 슬릿법이 더욱 높은 값을 나타내었다. 이는 Cunningham의 보고와 완전히 일치한다.

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