一类耦合去噪-分割的新模型在图像处理中的应用

Application of a New Model Coupling Denoising and Segmentation in Image Processing

针对被噪声严重污染的图像的分割结果很不理想的现象,提出一类耦合去噪-分割的新模型,先采用一种组合的去噪模型去噪,然后用新的分割模型进行分割。实验结果表明,提出的组合去噪模型(采用AOS算法)比现有的一些去噪模型的去噪效果更好;而在分割方面,文中提出的耦合去噪-分割的方法也显示出有效性和可靠性,特别是对含有较高噪声的图像分割比CV模型更有优势。

Due to dissatisfactory results of segmenting the images corrupted by serious noise, a new model coupling denoising and segmentation is proposed. The image is denoised by a fused denoising model, then the denoised image is segmented by a novel segmentation model. Experimental results show that the pling denoising and segmentation is effective and reliable and it has an advantage over CV model in segmentation.