적외선 카메라의 자동 초점을 위한 윤곽선 검출에 대한 연구
A Study of Edge Detection for Auto Focus of Infrared Camera
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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.
Abstract
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.
참고문헌 (11)
- Ibarra-Castanedo C, "Quantitative subsurface defect evaluation by pulsed phase thermography: depth retrieval with the phase", pp.2005
- 신정호, "온도변화에 의한 비선형 특성을 가진 열상 검출기 영상보정기법", 한국컴퓨터정보학회논문지, 22(10), pp.19~26 (2017), 한국컴퓨터정보학회[DOI]
- Rafael C. Gonzalez., "Digital Image Processing", pp.189~221 (2009), Prentice Hall
- 김승희, "실시간 영상 처리를 위한 향상된 영역 경계 검출", 한국컴퓨터정보학회논문지, 14(1), pp.99~106 (2009), 한국컴퓨터정보학회
- Raman Maini., "Study and Comparison of Various Image Edge Detection Techniques", International Journal of Image Processing (IJIP), 3(1), pp.1~12 (2009)
- J. Canny, "A computation approach to edge detection", Transactions on Pattern Analysis and Machine Intelligence, 8(6), pp.769~798 (1986)
- H. Shan., "Adaptive Edge Detection for Real-Time Video Processing using FPGAs;Application notes" (2005), Altera Corporation
- Heeduk Park, "FPGA Design and Implementation of Edge Enhancement by Using 3x3 Mask Filter", International Conference Industry Technology, pp.630~635 (2014)
- A. Benedetti, "Image convolution on FPGAs: The implementation of a multi-FPGA FIFO structure", Proc. Euromicro Conf., pp.123~130 (1998)
- Z. Guo, "Image edge detection based on fpga", 2010 Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Science, pp.169~171 (2010)
- 문길수, "Spatial Compare Filter Based Real-Time dead Pixel Correction Method for Infrared Camera", 한국컴퓨터정보학회논문지, 21(12), pp.35~41 (2016), 한국컴퓨터정보학회