• Title/Summary/Keyword: Image Edge

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Surface Segmentation and Feature Description using the Signature Technique (Signature 기법을 이용한 면의 특징 표현 및 분할 기법)

  • 이보형;한헌수
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.12
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    • pp.90-97
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    • 1997
  • This paper presents a new algorithm for surface segmentation and feature description. The algorithm extracts the signature of an edge image based on the signature technqique[12] in the first stage. If there exists a range in the angle axis where more than two signatures form a closed curve, we can conclude there is a surface inside the range. Using this feature of the signature, surfaces can be segmented. The surface features such as number of vertices, number of edges, and type of surfaces can also be extracted by finding the signatures of individual surfaces. This algorithm has distinguished advantages: it can easily recover the lost part occuring in the edge iage using the curve fitting method and it can extract surface features even when surfaces are rotated in 3-D space.

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Real Time Multiple Vehicle Detection Using Neural Network with Local Orientation Coding and PCA

  • Kang, Jeong-Gwan;Oh, Se-Young
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.636-639
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    • 2003
  • In this paper, we present a robust method for detecting other vehicles from n forward-looking CCD camera in a moving vehicle. This system uses edge and shape information to detect other vehicles. The algorithm consists of three steps: lane detection, ehicle candidate generation, and vehicle verification. First after detecting a lane from the template matching method, we divide the road into three parts: left lane, front lane, and right lane. Second, we set the region of interest (ROI) using the lane position information and extract a vehicle candidate from the ROI. Third, we use local orientation coding (LOC) edge image of the vehicle candidate as input to a pretrained neural network for vehicle recognition. Experimental results from highway scenes show the robustness and effectiveness of this method.

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People Counting Using Hough Transform in Video Images (Hough 변환을 이용한 비디오 영상내 사람의 계수)

  • Seo, Yeong-Gyo;Do, Yong-Tae
    • Proceedings of the KIEE Conference
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    • 2003.11b
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    • pp.195-198
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    • 2003
  • Monitoring and analyzing people in video images are important and attract attention from many researchers in computer vision field. In this paper, we propose a new technique by which people overlapped one another in an image can be extracted and counted. After extracting moving people from video images as foreground, their heads are searched by Hough Transform inside the foreground. Since heads are comparatively stable in spite of motion in video images, semicircles along the head tops can be important features to be found in an edge map. In our experiment, the technique successfully separated people who existed at the same vertical positions, which was Impossible by existing techniques. Meanwhile, it showed high dependency on edge information and false results were obtained when the rather were rather incomplete.

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A New Error Diffusion Coefficients Reducing Correlation Pattern (상관패턴을 감소시키는 새로운 오차확산계수)

  • 박장식;손경식;김재호
    • Journal of Korea Multimedia Society
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    • v.2 no.2
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    • pp.137-144
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    • 1999
  • Error diffusion is excellent for reproducing grey-scale images to binary images. The output of conventional error diffusion produces correlated pattern. In this paper, a new error diffusion coefficient set is proposed to reduce correlated pattern and to enhance edge through frequency analysis of the error diffusion coefficients. The error diffusion coefficients of the previous line are designed to enhance the edge. The error diffusion coefficient of the previous pixel of the current pixel is selected to symmeterize the coefficient set. Because the proposed coefficient-set consists of 1 and 2, a few computations are required. As results of experiments, it is shown that the binary image using the proposed coefficients have better quality than conventional ones.

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Study on Wake Roll-Up Behavior Behind Wings In Close Proximity to the Ground

  • Han, Cheol-Heui;Cho, Jin-Soo
    • International Journal of Aeronautical and Space Sciences
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    • v.3 no.2
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    • pp.76-81
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    • 2002
  • A numerical simulation of wake behavior behind three-dimensional wings in ground effect is done using an indirect boundary element method (Panel Method). An integral equation is obtained by applying Green's 2nd Identity on all surfaces of the flow domain. The AIC is constructed by imposing the no penetration condition on solid surfaces, and the Kutta at the wing's trailing edge. The ground effect is included using an image method. At each time step, a row of wake panels from wings' trailing edge are convected downstream following the force-free condition. The roll-up of wake vortices behind wings in close proximity is simulated.

A Study on Large Surface TPS Reinforced Cover Glass Grinding Process Development (대면적 TPS 강화 Cover Glass Grinding 공정 개발에 관한 연구)

  • Lee, Taeho;Song, Jaichul;Lee, Seonhee
    • Journal of Satellite, Information and Communications
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    • v.10 no.3
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    • pp.48-52
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    • 2015
  • In this paper, we develops a domestic and foreign first reinforced cover glass grinding process for large surface TPS and resolves a problem of conventional cover glass grinding process through a research. Also, it is developed in priority to improve a productivity and processing quality emphasis. The development process develops a total process technology through a production and operation of demonstration unit. so, in this paper, we secured cover glass grinding process technology, image processing technology, mechanisms and control algorithms.

Digital Modelling of Visual Perception in Architectural Environment

  • Seo, Dong-Yeon;Lee, Kyung-Hoi
    • KIEAE Journal
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    • v.3 no.2
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    • pp.59-66
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    • 2003
  • To be the design method supporting aesthetic ability of human, CAAD system should essentially recognize architectural form in the same way of human. In this study, visual perception process of human was analyzed to search proper computational method performing similar step of perception of it. Through the analysis of visual perception, vision was separated to low-level vision and high-level vision. Edge detection and neural network were selected to model after low-level vision and high-level vision. The 24 images of building, tree and landscape were processed by edge detection and trained by neural network. And 24 new images were used to test trained network. The test shows that trained network gives right perception result toward each images with low error rate. This study is on the meaning of artificial intelligence in design process rather than on the design automation strategy through artificial intelligence.

Modified median filter based on multi-step (다단계 기반 수정된 미디언 필터)

  • Kim, Young-Ro;Dong, Sung-Soo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.2
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    • pp.207-213
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    • 2014
  • In this paper, we propose a modified median filter for impulse noise reduction. The proposed method based on multi-step finds noisy pixels from the corrupted image and applies filtering on the noisy pixels. Neighbor pixels for filtering are filtered by linear filter which adjusts filtering direction according to an edge. Thus, our proposed method not only preserves edge, but also reduces noise in uniform region. Experimental results show that our proposed method has better quality than those by existing modified median filtering method.

Characterizing Motion Performance with the Simulation Method

  • Li, Xiaohua;Teunissen, Kees;Song, Wen;Zhang, Yuning;Chai, Lin
    • 한국정보디스플레이학회:학술대회논문집
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    • 2008.10a
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    • pp.1573-1576
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    • 2008
  • A simulation system is developed to calculate the apparent motion-induced image from a sequence of temporal luminance transitions, while using the properties of the human visual system. Based on the simulation method, both edge (moving block) and detail degradation (line spreading, grating, sinusoidal pattern), and also color aberration are discussed.

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Restoration of a Bi-level Waveform by Estimation of Edge Locations (에지 위치 추정을 통한 이진 파형의 복원)

  • Kim, Jeong-Tae
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.55 no.7
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    • pp.327-331
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    • 2006
  • We have proposed an image restoration method for a bi-level waveforms whose number of edges is known to us. Based on the information, we parametrize a bi-level waveform using the locations of edges and restore the waveform by estimating the parameter. We estimated the locations by maximizing the correlation coefficients between the hi-level waveform and the measured waveform. In experiments using two dimensional barcode images of the PDF417 specification, the proposed method showed better performance than conventional methods in the sense that the proposed method was able to decode barcode images that were not decoded by the conventional methods.