• Title/Summary/Keyword: Image Edge

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Stroke Width Based Skeletonization for Text Images

  • Nguyen, Minh Hieu;Kim, Soo-Hyung;Yang, Hyung Jeong;Lee, Guee Sang
    • Journal of Computing Science and Engineering
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    • v.8 no.3
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    • pp.149-156
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    • 2014
  • Skeletonization is a morphological operation that transforms an original object into a subset, which is called a 'skeleton'. Skeletonization has been intensively studied for decades and is a challenging issue especially for special target objects. This paper proposes a novel approach to the skeletonization of text images based on stroke width detection. First, the preliminary skeleton is detected by using a Canny edge detector with a Tensor Voting framework. Second, the preliminary skeleton is smoothed, and junction points are connected by interpolation compensation. Experimental results show the validity of the proposed approach.

Adaptive Bilateral Filtering for Image Denoising using Edge Detection (경계 검출을 이용한 적응적 Bilateral 필터를 통한 이미지 잡음제거)

  • Yoo, Jong-Sang;Lee, Sanggu;Jeon, Gwanggil;Jeong, Jechang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.06a
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    • pp.270-273
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    • 2013
  • 잡음이 존재하는 환경에서 이미지의 경계와 디테일을 살리는 것은 잡음을 제거하는 것에 있어서 가장 중요한 요소중의 하나이다. 이를 위한 방법 중 한가지는 Bilateral 필터를 이용하여 영상 잡음 제거를 하면서 영상의 경계와 디테일을 보존하는 방법이다. Bilateral 필터의 이러한 특성 때문에 최근 Bilateral 필터를 통한 영상 잡음 제거에 대한 연구가 한창 진행되고 있다. 이에 본 논문은 Bilateral 필터의 장점인 경계와 디테일을 부각시키는 능력을 개선하기 위해 가장 간단하다고 많이 알려진 영상의 경계 검출 알고리듬을 이용하여 더욱 효과적인 Bilateral 필터를 통한 영상 잡음 제거를 연구 개발하였다.

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Bilateral Filtering for Image Enhancement using Edge detection and emphasis (경계 검출 및 강조를 이용한 양방향 필터를 통한 화질 개선)

  • Kim, Donghyun;Hwang, Ung;Jeong, Jechang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2014.11a
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    • pp.134-137
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    • 2014
  • 화질의 개선을 위해 잡음을 제거하는 기술이 많이 개발되고 있으며 그 기술들 중에 효과적으로 사용되고 있는 것 하나가 양방향 필터이다. 양방향 필터는 거리에 대한 가중치와 화소 값에 대한 가중치를 모두 고려하기 때문에 경계 부분을 보존하면서 잡음을 제거하는 것이 가능하다. 필터를 적용함으로 잡음이 제거되지만 본 논문에서는 그보다 나은 결과를 위해서 경계 부분을 캐니 에지 검출기로 검출하고 강조함으로써 양방향 필터의 장점을 전보다 부각시켜 이전보다 효과적인 화질개선 방법을 제시하고자 하였다.

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Object Extraction Method Using Contour Information-based Saliency Map and Object andidate Image (윤곽선 정보 기반의 Saliency Map과 객체 후보 영상을 이용한 객체 추출 기법)

  • Han, Sung-Ho;Hong, Yeong-Pyo;Lee, Gang-Seong;Lee, Sang-Hun
    • Proceedings of the KAIS Fall Conference
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    • 2012.05b
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    • pp.527-530
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    • 2012
  • 본 논문은 윤곽선이 두드러지는 Saliency Map모델을 생성하고 객체 후보 영상을 획득하여 객체를 추출할 수 있는 기법에 관한 연구이다. 제안하는 기법은 객체의 윤곽선 정보가 두드러지는 Saliency Map을 생성하기 위해 에지(Edge), 초점(Focus), 엔트로피(Entropy)를 특징 정보로써 사용하고, 획득한 Saliency Map의 임계화 과정 및 라벨링 과정을 통해 배경 영역을 제거한 객체 후보 영상을 획득한다. 이후 Mean Shift Segmentation 알고리즘을 적용한 영상의 세그먼트별 객체 후보 영상의 픽셀 평균값을 적용한 영상을 다시 라벨링 과정을 이용하여 객체를 추출한다.

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A study on the measurement of plastic zone and crack growth length at the crack tip under cyclic loading using ESPI system

  • Kim, Kyung-Su;Kim, Ki-Sung;Shim, Chun-Sik
    • Structural Engineering and Mechanics
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    • v.15 no.3
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    • pp.367-378
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    • 2003
  • The magnitude of the plastic zone around the crack tip of DENT (Double Edge Notched Tension) specimen and the crack growth length under cyclic loading were measured by ESPI (Electronic Speckle Pattern Interferometry) system. The measured magnitude of plastic zone was compared with the proposed by Irwin and calculated by a nonlinear static method of MSC/NASTRAN. The measured crack growth length by ESPI system was also compared with the obtained data by the image analysis system. From the study, it is confirmed that the plastic zone and crack growth length can be measured accurately with the high-tech equipment (ESPI System).

DETECTION OF FACIAL FEATURES IN COLOR IMAGES WITH VARIOUS BACKGROUNDS AND FACE POSES

  • Park, Jae-Young;Kim, Nak-Bin
    • Journal of Korea Multimedia Society
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    • v.6 no.4
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    • pp.594-600
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    • 2003
  • In this paper, we propose a detection method for facial features in color images with various backgrounds and face poses. To begin with, the proposed method extracts face candidacy region from images with various backgrounds, which have skin-tone color and complex objects, via the color and edge information of face. And then, by using the elliptical shape property of face, we correct a rotation, scale, and tilt of face region caused by various poses of head. Finally, we verify the face using features of face and detect facial features. In our experimental results, it is shown that accuracy of detection is high and the proposed method can be used in pose-invariant face recognition system effectively

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Automatic Classification System of Tablets with Various Colors and Shapes (다양한 색상 및 형태를 갖는 알약의 자동 분류 시스템)

  • Lee, Bub-Ki;Kwon, Seong-Geun
    • Journal of Korea Multimedia Society
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    • v.21 no.6
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    • pp.659-666
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    • 2018
  • The classification of the tablets recovered according to prescription changes is usually carried out manually by a number of pharmacists at the hospitals. Relatively high-wage pharmacists carry out the reclassification of the tablets, which results in a large loss of time and labor, and if the tablets are incorrectly classified, this can lead to medical accidents. In order to overcome these problems, a new automatic tablet classifying machine has been introduced. In the conventional automatic tablet classifying machine, tablets having various shapes, sizes, and colors are transferred to a classifying machine through the line feeder. Problems such as breakaway of the tablets from the line feeder, pilling of the tablets in the line feeder, and appearance contamination of the tablets occur. In this paper, we propose a system that automatically classifies the shape, size, and color of tablets through individual supply method by vacuum adsorption and image processing.

A Study of Local Adaptive Gradient Median Filter (국부 적응 변화율 메디안 필터에 관한 연구)

  • 최철완;김승환;김경식;강준길
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.14 no.5
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    • pp.462-471
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    • 1989
  • Two-dimensional median filters were affectively supprssing the noise in image processing with the adge smearing decreased. However, if the window were large as necessary in noise then the filter had tendency to cut off corners. An estimate of gradient was used to decide how the ouputs of the filters were calculated. For parallel to the gradient direction we used edge preserving median operation and orthogonal to that averaging subfilters over which medians were then chosen. Four different algorithms were introduced.

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Face Recognition using Effective Characteristical vectors and Edge Image Extraction Based on Haar Wavelet (Haar 웨이블릿에 기반한 에지검출과 효율적인 특징벡터을 이용한 얼굴 인식)

  • Choi, Gwang-Mi;Jung, Gug-Yeoung;Jung, Chai-Yeoung
    • Annual Conference of KIPS
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    • 2003.11a
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    • pp.575-578
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    • 2003
  • 본 논문에서는 얼굴영역을 검출하기위해 얼굴 피부색을 보다 효과적으로 모델링하기 위한 방법으로 피부색 특성을 고려하여 자기 성분을 제거한 Red, Blue, Green 채널을 모두 사용하는 Hue, Cb, Cg의 Multi-Channel 피부색 모델을 사용한다. 얼굴영역을 분리한 영상에 Haar 웨이블릿을 이용한 에지영상 추출과 얼굴영역의 특징벡터를 구하기 위하여 26개의 특징벡터를 사용한 효율적인 고차 국소 자동 상관함수를 사용하였다. 계산된 특징벡터는 BP 신경망의 학습을 통하여 얼굴인식을 위한 데이터로 사용된다. 시뮬레이션을 통해 제안된 알고리즘에 의한 인식률향상과 속도 향상을 입증한다.

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3D Reconstruction of Urban Building using Laser range finder and CCD camera

  • Kim B. S.;Park Y. M.;Lee K. H.
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.128-131
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    • 2004
  • In this paper, we describe reconstructed 3D-urban modeling techniques for laser scanner and CCD camera system, which are loading on the vehicle. We use two laser scanners, the one is horizon scanner and the other is vertical scanner. Horizon scanner acquires the horizon data of building for localization. Vertical scan data are main information for constructing a building. We compared extraction of edge aerial image with laser scan data. This method is able to correct the cumulative error of self-localization. Then we remove obstacles of 3D-reconstructed building. Real-texture information that is acquired with CCD camera is mapped by 3D-depth information. 3D building of urban is reconstructed to 3D-virtual world. These techniques apply to city plan. 3D-environment game. movie background. unmanned-patrol etc.

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