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- 저자 : Hee Duk Park(박희득) (검색결과 2 건)
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A Study of Edge Detection for Auto Focus of Infrared Camera
Hee-Duk Park(박희득) 한국컴퓨터정보학회 2018 韓國컴퓨터情報學會論文誌 Vol.23 No.1
In this paper, we propose an edge detection algorithm for auto focus of infrared camera. We designed and implemented the edge detection of infrared image by using a spatial filter on FPGA. The infrared camera should be designed to minimize the image processing time and usage of hardware resource because these days surveillance systems should have the fast response and be low size, weight and power. we applied the 3x3 mask filter which has an advantage of minimizing the usage of memory and the propagation delay to process filtering. When we applied Laplacian filter to extract contour data from an image, not only edge components but also noise components of the image were extracted by the filter. These noise components make it difficult to determine the focus state. Also a bad pixel of infrared detector causes a problem in detecting the edge components. So we propose an adaptive edge detection filter that is a method to extract only edge components except noise components of an image by analyzing a variance of pixel data in 3x3 memory area. And we can detect the bad pixel and replace it with neighboring normal pixel value when we store a pixel in 3x3 memory area for filtering calculation. The experimental result proves that the proposed method is effective to implement the edge detection for auto focus in infrared camera.
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Ji-Hyeon Yang(양지현),Byung-In Choi(최병인),Hee Duk Park(박희득),Sohyun Kim(김소현),Yong Chan Park(박용찬) 한국컴퓨터정보학회 2017 韓國컴퓨터情報學會論文誌 Vol.22 No.10
In this paper, we propose a novel radiometric calibration method which can effectively compensate the nonlinearity of the detector for hyper-spectral camera. In general, the detector of hyper-spectral camera can produce nonlinear output depending on radiance and integral time. The conventional radiometric calibration methods extract the imprecise radiance profile from the spectral profile of the target due to this nonlinearity. In our proposed method, we use a quadratic equation instead of a linear equation to describe the relation between output of detector and radiance. Then, we use a fractional function to compensate variation of integration time. Thus, our proposed method can extract more precise spectral profile of radiance than conventional radiometric calibration method.
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