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《Journal of Harbin Engineering University》 2005-06
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Algorithm of IR background estimation based on grayscale morphologywith multiple structuring elements

YANG Xin-yuan,ZHAO Zhong-kai,PU Shu-jin(School of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China)  
Background estimation is a key technique of infrared(IR) dim point targets detection.Traditional morphology-based algorithms processed the image using a fixed structuring element.However,when the background is heavy cluttered, the residual image contains much background leak,which leads to false point targets.On the basis of the characteristics of the IR images,an algorithm of background estimation based on grayscale morphology with multiple structuring elements is presented.Through the simulations with the real IR images,performance comparisons with the traditional morphology-based algorithms show that the proposed algorithm can preserve the detail image to the greatest extent,reduce the influence on the background estimation,improve the signal-to-noise ratio(SNR) greatly and the detection probability in single frame.The algorithm is easy to use for real-time processing in parallel and realized by hardware.
【CateGory Index】: TN219
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