• Title/Summary/Keyword: 경계선

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Lane Detection Algorithm using Morphology and Color Information (형태학과 색상 정보를 이용한 차선 인식 알고리즘)

  • Bae, Chan-Su;Lee, Jong-Hwa;Cho, Sang-Bock
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.48 no.6
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    • pp.15-24
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    • 2011
  • As increase awareness of intelligent vehicle systems, many kinds of lane detection algorithm have been proposed. General boundary extraction method can bring good result in detection of lane on the road. But a shadow on the road, or other boundaries, such as horizontal lines can be detected. The method using morphological operations was used to extract information about Lane. By applying HSV color model for color information of lane, the candidate of the lane can be extracted. In this paper, the lane detection region was set by Hough transformation using the candidate of the lane. By extracting lane markings on the lane detection region, lane detection method can bring good result.

Automatic Segmentation of the Prostate in MR Images using Image Intensity and Gradient Information (영상의 밝기값과 기울기 정보를 이용한 MR영상에서 전립선 자동분할)

  • Jang, Yj-Jin;Jo, Hyun-Hee;Hong, Helen
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.9
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    • pp.695-699
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    • 2009
  • In this paper, we propose an automatic prostate segmentation technique using image intensity and gradient information. Our method is composed of four steps. First, rays at regular intervals are generated. To minimize the effect of noise, the start and end positions of the ray are calculated. Second, the profiles on each ray are sorted based on the gradient. And priorities are applied to the sorted gradient in the profile. Third, boundary points are extracted by using gradient priority and intensity distribution. Finally, to reduce the error, the extracted boundary points are corrected by using B-spline interpolation. For accuracy evaluation, the average distance differences and overlapping region ratio between results of manual and automatic segmentations are calculated. As the experimental results, the average distance difference error and standard deviation were 1.09mm $\pm0.20mm$. And the overlapping region ratio was 92%.

J2-bounding Surface Plasticity Model with Zero Elastic Region (탄성영역이 없는 J2-경계면 소성모델)

  • Shin, Hosung;Oh, Seboong;Kim, Jae-min
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.4
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    • pp.469-476
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    • 2023
  • Soil plasticity models for cyclic and dynamic loads are essential in non-linear numerical analysis of geotechnical structures. While a single yield surface model shows a linear behavior for cyclic loads, J2-bounding surface plasticity model with zero elastic region can effectively simulate a nonlinearity of the ground response with the same material properties. The radius of the yield surface inside the boundary surface converged to 0 to make the elastic region disappear, and plastic hardening modulus and dilatancy define plastic strain increment. This paper presents the stress-strain incremental equation of the developed model, and derives plastic hardening modulus for the hyperbolic model. The comparative analyses of the triaxial compression test and the shallow foundation under the cyclic load can show stable numerical convergence, consistency with the theoretical solution, and hysteresis behavior. In addition, plastic hardening modulus for the modified hyperbolic function is presented, and a methodology to estimate model variables conforming 1D equivalent linear model is proposed for numerical modeling of the multi-dimensional behavior of the ground.

수치지도 제작을 위한 지형ㆍ지물의 경계추출

  • 박운용;차성렬;이동락;김용석
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2003.10a
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    • pp.433-437
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    • 2003
  • 고해상도 위성영상을 이용하여 수치표고모델(DEM) 및 정사영상을 제작해서 수치지도의 갱신 및 지형공간정보체계의 자료기반으로써 활용할 수 있다. 본 연구에서는 Sobel 연산자를 이용하여 경계추출을 행한 후 스크린 디지타이징 방법으로 경계선을 추출하였다 이렇게 추출된 벡터자료와 기존수치지도와의 중첩을 통해서 건물, 도로, 임야의 평균위치오차를 분석해 보았다. 평균위치오차가 공공측량의 작업규정에 대한 1 : 5,000 수치지도 제작의 허용오차범위에는 들지 못하였지만, 특정 부분의 지형·지물의 경우에는 수정, 보완이 가능한 것으로 나타났다. 그리고, 산악지역 보다는 도심지에서의 경계추출이 뚜렷하기 때문에 위치정밀도가 향상됨을 알 수 있었다.

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A Study on Edge Detection of Fuzzy Entropy using Variable Length (가변길이에 따른 Fuzzy Entropy의 외곽선 검출에 관한 연구)

  • Park, In-Kue;Pak, Hyeon-Cheol
    • Journal of Digital Contents Society
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    • v.9 no.2
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    • pp.357-362
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    • 2008
  • The new approach was proposed which uses Shannon function based on variable length in order to detect the edges of image. The proposed casted the detection of edges in images on the space information of the images. In addition the algorithm which measures the possibility of edges was proposed. Lots of simulations showed that the approach in this paper was more good than the conventional methods in detecting meaningful discontinuities in gray level.

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A Study on Removal Method of Building area from LiDAR DSM with Edge Detection (경계선 추출을 통한 LiDAR DSM에서의 건물제거기법 연구)

  • Choi, Yun-Woong;Lee, Geun-Sang;Chae, Hyo-Seog;Cho, Gi-Sung
    • 한국공간정보시스템학회:학술대회논문집
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    • 2005.05a
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    • pp.387-392
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    • 2005
  • 최근에는 LiDAR 시스템의 등장으로 기존의 항공사진측량에 비하여 효율적이고, 경제적으로 도시지역의 수치표고자료를 효과적으로 구축할 수 있게 되었으나, 도시지역에서는 다양한 형태의 객체들이 모두 포함된 DSM(Digital Surface Model) 형식의 자료를 취득하게 된다. 따라서, 홍수범람예측에 있어서의 인공지물의 영향 해석 등을 위하여 건물이 제거된 지형에 관한 상세한 정보를 제공하기 위해서는 DSM으로부터 DEM(Digital Elevation Model)을 추출하기 위한 전처리 과정이 필요하다. 본 연구는 LiOAR 시스템으로부터 취득된 도시지역에 대한 DSM으로부터 건물 등이 제거된 DEM을 추출하기 위한 연구로서 영상처리기법의 경계검출 알고리즘을 적용하여 건물 등의 지물들에 대한 경계를 추출하였으며, 선행연구에서 건물로 추출된 지역에 대하여 보간법을 적용함으로써 발생하는 원시 DSM 자료의 변형에 따른 대안으로써, 추출된 경계에 대여 평균값 필터링, 중간 값 필터링, 최소 값 필터링을 각각 적용함으로써 원시 DSM 자료의 변형을 최소화하여 건물 등의 지물들을 제거하였으며, LiDAR DSM으로부터 DEM을 제작하는 과정을 간략화, 자동화하였다.

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Block-based Disparity Estimation Algorithm Using Edge information (영상의 경계 정보를 이용한 블록기반 시차 예측기법)

  • 이병진;유지상
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.2C
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    • pp.121-128
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    • 2003
  • In this paper, we propose a new disparity estimation method called object based block matching algorithm(OBMA) for stereoscopic images which is able to reduce the blocking artifact. In the proposed algorithm, edge information of the given image is first extracted and then we estimate the disparity of each segmented object to remove the blocking artifact. In the experimental results, it is proven that the proposed algorithm has about the same performance as the old BMA algorithm while it achieves much better subjective quality.

Blocking Effect Reduction Techniques for Image Coding (영상 부호화에서 발생하는 블록경계 현상을 줄이는 방법)

  • 김대희;호요성
    • Journal of Broadcast Engineering
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    • v.3 no.2
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    • pp.111-117
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    • 1998
  • Due to independent processing of image block, DCT-based block coding algorithms can produce the blocking effect qhich is gray-level discontinuity along block boundaries of the reconstructed image. In this paper, we have proposed two techniques to reduce the blocking effect: two-stage transform coding with variable quantizer and the globally optimum filtering. We have also compared performances of our algorithms and other conventional algorithms by applying optimal allocation.

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Mobile Robot Control using Hand Shape Recognition (손 모양 인식을 이용한 모바일 로봇제어)

  • Kim, Young-Rae;Kim, Eun-Yi;Chang, Jae-Sik;Park, Se-Hyun
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.45 no.4
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    • pp.34-40
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    • 2008
  • This paper presents a vision based walking robot control system using hand shape recognition. To recognize hand shapes, the accurate hand boundary needs to be tracked in image obtained from moving camera. For this, we use an active contour model-based tracking approach with mean shift which reduces dependency of the active contour model to location of initial curve. The proposed system is composed of four modules: a hand detector, a hand tracker, a hand shape recognizer and a robot controller. The hand detector detects a skin color region, which has a specific shape, as hand in an image. Then, the hand tracking is performed using an active contour model with mean shift. Thereafter the hand shape recognition is performed using Hue moments. To assess the validity of the proposed system we tested the proposed system to a walking robot, RCB-1. The experimental results show the effectiveness of the proposed system.

A Study on Factors that Trigger Human Errors Related to Causes of Ship Collisions (선박충돌사고 원인과 관련된 인적과실 유발요인에 관한 연구)

  • Kim, Dae-Sik
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.23 no.7
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    • pp.801-809
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    • 2017
  • The purpose of this study is to contribute to the prevention of ship collisions by investigating real ship collision cases and statistically analyzing causes of human error for captains and Officers of the Watch (OOW). This study encompassed a total of 109 cases for 218 vessels, which were suitable for the analysis of ship accidents between merchant ships or merchant ships and fishing boats over the 7 years from 2010 to 2016. Data was collected while classifying vessels according to type, Give-way and Stand-on vessels, along with the cause of human error. Factors causing human error were identified after focusing on the cause of each collision given by the OOW ; frequency and cross tabulation analyses were conducted using SPSS, a statistical analysis tool. As a result, the main causes of human error by an OOW in a ship collision situation were that lookout was neglected in a Give-way vessel including radar surveillance (74.3 %) or continuous observation of an opponent vessel was carried out (17.4 %). A major factor for Stand-on vessels was failure to act to avoid collision with another vessel (63.3 %). In particular, most neglect for lookout type merchant ships occurred after the opponent ship was first observed, and a common cause of lookout neglect and neglect of duty was a focus on other tasks during navigational watch time.