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A novel matting algorithm applied to SAS image segmentation

机译:一种新的抠图算法应用于SAS图像分割

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摘要

Poisson' equation has been used to mat in digital image widely, but there is less report using it in acoustic image, such as SAS image. We proposed a novel matting algorithm of Poisson' equation applied to SAS image, in the proposed algorithm, the statistics of image were studied firstly and then Markov Random Field (MRF) theory was applied to initialized the image which can mark the interest regions, at last Poisson' equation is used to mat in the region. The simulation results have proved the new algorithm could be used in the real SAS images.
机译:泊松方程已广泛用于数字图像的匹配,但是在声图像(例如SAS图像)中使用泊松方程的报道较少。我们提出了一种新的应用于SAS图像的泊松方程消光算法,该算法首先研究图像的统计量,然后应用马尔可夫随机场(MRF)理论对图像进行初始化,以标记感兴趣区域。最后的泊松方程用于对该区域进行拟合。仿真结果证明了该新算法可以在真实的SAS图像中使用。

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