• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.17-22
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• 2002

This paper is concerned with a local detection of road on an airborne SAR image. The roads can be characterized by their geometry and radiometry. Roads are assumed as linear, thin, and elongated objects that are darker than their surroundings on an airborne SAR image. With these assumptions, a series of morphological filters are applied and tested successively. This approach is simple and almost non parametric and has been successfully applied to an airborne SAR image.

• 제어로봇시스템학회논문지
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• 제14권12호
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• pp.1205-1211
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• 2008

This paper describes methods to estimate 3-D position of target with respect to reference frame through monocular image from unmanned aerial vehicle (UAV). 3-D position of target is used as information for surveillance, recognition and attack. In this paper. 3-D position of target is estimated to make guidance and control law, which can follow target, user interested. It is necessary that position of target is measured in image to solve 3-D position of target. In this paper, kalman filter is used to track and output position of target in image. Estimation of target's 3-D position is possible using result of image tracking and information of UAV and camera. To estimate this, two algorithms are used. One is methode from arithmetic derivation of dynamics between UAV, carmer, and target. The other is LPV (Linear Parametric Varying). These methods have been run on simulation, and compared in this paper.

• 컴퓨터교육학회논문지
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• 제11권5호
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• pp.57-66
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• 2008

본 논문에서는 낮은 해상도의 영상을 높은 해상도의 영상으로 보간하는 과정에서 각각의 픽셀에 대해 최적화된 매개변수를 적용하는 새로운 적응적 3차 회선 보간 기법을 제안한다. 기존의 3차 회선 보간 기법은 보간하려는 영상에 대해 동일한 매개변수를 적용하여 각 픽셀의 고유한 특성을 적응적으로 반영하지 못하였지만, 제안한 보간 기법은 픽셀의 정보에 따라 매개변수를 최적화하여 반영함으로써 주어진 영상을 고화질 영상으로 보간한다. 여러 가지 영상을 통해 본 논문에서 제안한 보간 기법과 기존에 알려진 보간 기법들을 비교하는 실험을 하였고, 도출된 실험 결과를 객관적인 지표로 제시하여 우수함을 입증하였다.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 춘계학술대회
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• pp.279-282
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• 1996

Sequential brain SPECT imaging has been used to assess the cerebral perfusion reserve(CPR) in cerebrovascular diseases(CVD). We have realized a parametric images of CPR using normalized difference ratio and deadtime correction. For the anatomical localization of CPR, the parametric images were registered to the contours of the cerebral regions using optimal threshold method. The parametric imags reflected the CPR more reliably and distinctively. We conclude that the qunatitative estimation of CPR using normalized difference ratio image could be useful for the diagnosis and assessment of postoperative prognosis in CVD.

• 대한전자공학회논문지
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• 제24권1호
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• pp.159-166
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• 1987

A new family of sinusoidal orthogoal trnasform is introduced. For a derivation, a parametric sinusoidal matrix whose transform might be implemented by a suitable FFT algorithm is modeled basically on the analogy of well-known sinusoidal transform such as DCT,SCT, etc., and its orthogonality condition is calculated. The parameters satisfying orthogonality condition are determined, in a sense, by particular solution after trial and error. However more than then transform matrices not yet known are obtained. It is also shown that these transforms can be computed by a DFT. of an image.

• IEIE Transactions on Smart Processing and Computing
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• 제5권5호
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• pp.319-322
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• 2016

We propose a parametric blind deconvolution method for bi-level images with unknown intensity levels that estimates unknown parameters for point spread functions and images by minimizing a penalized nonlinear least squares objective function based on normalized correlation coefficients and two regularization functions. Unlike conventional methods, the proposed method does not require knowledge about true intensity values. Moreover, the objective function of the proposed method can be effectively minimized, since it has the special structure of nonlinear least squares. We demonstrate the effectiveness of the proposed method through simulations and experiments.

• 대한의용생체공학회:의공학회지
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• 제17권4호
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• pp.443-448
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• 1996

Sequential brain SPECT imaging has been used to assess the cerebral perfusion reserve(CPR) in cerebrovascular diseases(UD). We have realized parametric images of CPR using deadtime correction of gamma camera and normalized difference ratio. For the anatomical localization of CPR, the parametric images were registered to the contours of the cerebral regions using optimal threshold method, which showed to reflect the CPR more reliably and distinctively than the simple subtraction. We conclude that the quantitative estimation of CPR using normalized difference ratio image could be useflll for the diagnosis and prognostic assessment of CVD.

• 한국통신학회논문지
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• 제28권10C호
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• pp.1013-1022
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• 2003

본 논문은 연속적인 영상에 대해 비모수적 영상 처리 기법과 칼만 필터 기반의 동적 AR(2) 프로세스 기법을 적용하여 객체의 움직임을 적응적으로 추적하는 실시간 객체 추적 알고리즘을 구현하였다. 다양한 환경 조건에서 입력되는 영상에 대해 비모수적 영상 처리 기법을 이용하여 처리함으로써 효과적으로 움직임 객체를 추출하였으며, 객체의 움직임을 동적 AR(2) 프로세스 모형으로 모델링하고 동적으로 변하는 AR(2) 프로세스의 파라미터를 칼만 필터를 통해 추정함으로써 객체의 다변적인 움직임을 적응적으로 예측하여 추적할 수 있었다. 구현된 객체 추적 시스템을 실험한 결과, 기존의 선형 칼만 필터 기법을 이용한 추적 기법과 비교하여 추정 오차가 약 1/2.5∼1/50 만큼 더 적게 나와 객체의 움직임을 더 근사적으로 추적함을 알 수 있었다.

• KSTLE International Journal
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• 제2권1호
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• pp.35-39
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• 2001

In this paper, statistical approach is undertaken to investigate the classification of wear debris which is the key function of objective assessment of wear debris morphology. Wear tests are run to produce various kinds of wear debris. The images of wear debris from wear tests are captured with image acquisition equipment. By thresholding, two-dimensional binary images of wear debris are made and, then, morphological parameters are used to quantify the images of debris. Parametric and nonparametric discriminant method are employed to classify wear debris into predefined wear conditions. It is demonstrated that classification accuracy of parametric and nonparametric discriminant method is similar. The selected use of morphological parameters by stepwise discriminant analysis can generally improve the classification accuracy of parametric and nonparametric discriminant method.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.628-631
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• 2009

In this paper, we proposed a new authentication method using video that was taken during moving a hand-held camera in front of the face. The proposed method extracted individuality from the obtained image sequences using the parametric eigenspace scheme. Changes of facial appearance through authentication trials draw continuous tracks in the low dimensional igenspace. The similarity between their continuous tracks are calculated by DP-matching to verify their identities. Experimental results confirmed that different motions and persons change the shapes of continuous tracks, so the proposed method could identify the person.