摘要
为解决图像分割中低分辨率、边界模糊及光照因素导致的分割精度低等问题,提出一种基于增强的双边滤波的区域分割模型。提出一种增强的自适应双边滤波算法,保持图像边界结构并抵制噪声的影响;构建一种基于改进的双边滤波的区域分割模型,在模型中加入正则化项,确保重新初始化过程及加速曲线的演化。实验结果表明,提出模型性能优于其它经典的分割模型。
To solve the problems of low segmentation accuracy due to low resolution,blurred boundaries and poor illumination in image segmentation,a region-based model based on enhanced bilateral filter was proposed.An enhanced adaptive bilateral filter was utilized to preserve edge structures and to resist the noise of the image.A region-based model based on the bilateral filter was constructed into the level set framework.A regularization term was used to ensure the process of re-initialization as well as speed up the curve evolution.Experimental results show that the proposed model performs better than other well-known segmentation models.
引文
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