摘要
针对SAR图像特点,提出了一种基于局部中值拟合(LMF)C-V模型的新的SAR图像分割算法LMFCV-SIS.该算法核心是利用像素点及以其为中心的邻域内的像素点的局部中值拟合来构造能量函数,极小化该能量函数,得到轮廓的最终演化结果.一系列对比实验的结果表明,该算法充分利用了SAR图像的特征信息,对真实机载SAR图像进行分割具有分割边界定位准确、收敛速度较快等优势.
A novel SAR image segmentation algorithm LMFCV SIS based on local median fitting （LMF） C-V model was proposed according to the characteristics of SAR images. The main idea of the algorithm is to use the LMF of the pixel and its neighbors to form an energy and the final evolution of the curve was given by the minimization of the energy. The performance of the approach was verified by plenty of real airborne SAR images and the experimental results from the real data show its efficiency and accuracy.
