A Novel Variational Segmentation Method for High-Noise Image
Zhihong Luo, Guocan Feng, Guan Yang · 2009
A novel variational method coupling denoising and segmentation is proposed. First, the high-noise images are denoised by the proposed denoising model, then they are segmented by the new segmentation model. And through multiplication operator splitting (MOS) numerical algorithm, the effective and stable results are obtained. Experimental results clearly demonstrate that the proposed method coupling denoising and segmentation has effectiveness and it has an advantage over CV model in high-noise image segmentation.