• Title/Summary/Keyword: Pixel Space

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Motion Detection using Adaptive Background Image and Pixel Space (적응적 배경영상과 픽셀 간격을 이용한 움직임 검출)

  • 지정규;이창수;오해석
    • Journal of Information Technology Applications and Management
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    • v.10 no.3
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    • pp.45-54
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    • 2003
  • Security system with web camera remarkably has been developed at an Internet era. Using transmitted images from remote camera, the system can recognize current situation and take a proper action through web. Existing motion detection methods use simply difference image, background image techniques or block matching algorithm which establish initial block by set search area and find similar block. But these methods are difficult to detect exact motion because of useless noise. In this paper, the proposed method is updating changed background image as much as $N{\times}M$pixel mask as time goes on after get a difference between imput image and first background image. And checking image pixel can efficiently detect motion by computing fixed distance pixel instead of operate all pixel.

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Motion Detection using Adaptive Background Image and A Net Model Pixel Space of Boundary Detection (적응적 배경영상과 그물형 픽셀 간격의 윤곽점 검출을 이용한 객체의 움직임 검출)

  • Lee Chang soo;Jun Moon seog
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.3C
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    • pp.92-101
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    • 2005
  • It is difficult to detect the accurate detection which leads the camera it moves follows in change of the noise or illumination and Also, it could be recognized with backgound if the object doesn't move during hours. In this paper, the proposed method is updating changed background image as much as N*M pixel mask as time goes on after get a difference between imput image and first background image. And checking image pixel can efficiently detect moving by computing fixed distance pixel instead of operate all pixel. Also, set up minimum area of object to use boundary point of object abstracted through checking image pixel and motion detect of object. Therefore motion detection is available as is fast and correct without doing checking image pixel every Dame. From experiment, the designed and implemented system showed high precision ratio in performance assessment more than 90 percents.

A Vowel Discrimination of Korean Monophthongs [i, e, a, o, u, ${\omega}$] Using Vocal Tract Magnetic Resonance Image and F1/F2 (성도 자기공명 영상과 음향정보(F1/F2)를 이용한 한국어 단모음 [이, 에, 아, 오, 우, 으] 판별)

  • Seong, Cheol-Jae;Park, Jong-Won;Kim, Gui-Ryong
    • MALSORI
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    • no.56
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    • pp.103-125
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    • 2005
  • We present a new method of measuring the volume and cross-sectional area of the vocal tract from magnetic resonance images. The vocal tract was divided by the 2 constriction points on the horizontal and vertical planes. The ratios of the volumes of the segment vocal tracts to that of the entire vocal tract play a crucial role in discriminating Korean monophthongs in that vowels were successfully discriminated by the ratios. The discriminant analysis also demonstrated that the acoustic parameters F1 and F2, in addition to the segment volumes, serve as significant parameters in discriminating Korean monophthongs.

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New edge detection algorithm and its application to a visual inspection (새로운 에지 검출 알고리듬과 시각적 검사에서의 그 응용)

  • Eun-Mi Kim;Cherl-Su Park
    • Journal of the Korea Computer Industry Society
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    • v.3 no.12
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    • pp.1725-1736
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    • 2002
  • We describe a characteristic behavior of edge signal intensity, the strictly monotonic variation of intensity across edges and propose a new algorithm for edge detection based on it. We define an extended directional derivatives, which is nonlocal and beyond scaling in the pixel space, to describe that the algorithm is adaptive to the various widths of edges and relevant as an optimal edge detection algorithm. As an industrial application of the algorithm, we discuss a simple computer vision procedure for an example of visual inspection.

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Design of Edge Detection Algorithm Based on Adaptive Directional Derivative (적응성 방향 미분에 의한 에지 검출기의 설계 및 평가)

  • Kim, Eun-Mi
    • Journal of Korea Multimedia Society
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    • v.8 no.10
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    • pp.1329-1336
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    • 2005
  • We propose an optimal edge detection algorithm adaptive to the various widths of edges. In order to construct this algorithm, we introduce an alternative definition of edge point and generalize the directional derivatives in the pixel space to obtain an extended directional derivatives beyond scaling. The result from applying our algorithm to a 2D image is analyzed comparing to that from the other algorithm.

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Denoising ISTA-Net: learning based compressive sensing with reinforced non-linearity for side scan sonar image denoising (Denoising ISTA-Net: 측면주사 소나 영상 잡음제거를 위한 강화된 비선형성 학습 기반 압축 센싱)

  • Lee, Bokyeung;Ku, Bonwha;Kim, Wan-Jin;Kim, Seongil;Ko, Hanseok
    • The Journal of the Acoustical Society of Korea
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    • v.39 no.4
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    • pp.246-254
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    • 2020
  • In this paper, we propose a learning based compressive sensing algorithm for the purpose of side scan sonar image denoising. The proposed method is based on Iterative Shrinkage and Thresholding Algorithm (ISTA) framework and incorporates a powerful strategy that reinforces the non-linearity of deep learning network for improved performance. The proposed method consists of three essential modules. The first module consists of a non-linear transform for input and initialization while the second module contains the ISTA block that maps the input features to sparse space and performs inverse transform. The third module is to transform from non-linear feature space to pixel space. Superiority in noise removal and memory efficiency of the proposed method is verified through various experiments.

Formulation of a reference coordinate system of three-dimensional (3D) head & neck images: Part I. Reproducibility of 3D cephalometric landmarks (3차원 두부영상의 기준좌표계 설정을 위한 연구: 1부 CT영상에서 3차원 계측점의 재현성)

  • Park, Jae-Woo;Kim, Nam-Kug;Chang, Young-Il
    • The korean journal of orthodontics
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    • v.35 no.5
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    • pp.388-397
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    • 2005
  • The purpose of this study was to redefine the cephalometric landmarks in three-dimensional (3D) images, which are used in orthodontic cephalometric radiography, and to evaluate the reproducibility of each landmark for 3D cephalometric analysis. Eighteen CT scans were taken at the Department of Diagnostic Radiology at Seoul National University Dental Hospital and manipulated with V works 4.0(Cybermed Inc., Seoul, Korea). The coordinate system was established using 7 reference points, with no more than 4 points on the same plane. These 7 points were generated as a volume model, the voxel size of which was 4 by 4 by 2 (threshold value=639). The cephalometric landmarks were selected at the multiplanar reformation (MPR) window on the volume mode of V works 4.0. The selected landmarks were exported to V surgery (Cybermed Inc., Seoul, Korea) for the calculation of coordinate values. All the data were taken twice with a lapse of 2 weeks by one investigator The reproducibility of each landmark was $0.17\~1.21mm$ in the x axis, $0.30\~1.53mm$. In the y axis, and $0.27\~1.81mm$ in the z axis. In all three axes, the range of error was similar. These error ranges were acceptable with regards to the pixel space and slice thickness. The most reproducible points were 1 points which were selected on the basis of the volume model. The least reproducible points were J points that were defined by sutures.