基于类间方差参数活动轮廓模型图像分割

Image Segmentation Based on Parametric Active Contour Model of Inter-Region Variance

提出了基于类间方差参数活动轮廓模型图像分割法.该方法将气球力参数活动轮廓模型中的恒定气球力替换为包含区域信息的变力,最大化目标和背景两区域类间方差,引导轮廓曲线进化.实验结果表明:对于初始轮廓位置不论是处于目标区域内部,或者是处于背景区域内部,还是与目标和背景区域相交,该模型都能获得正确分割结果.

In this paper, an improved image segmentation method based on parametric active contour model of inter-region variance was proposed and successfully applied to image segmentation. This proposed model replaces constant force in the balloon parametric active contour model with variable force incorporating foreground and background two regions information. It guides curve to evolve with the criterion of the maximization inter-region variance of the foreground and background. Experimental results show that the proposed model is robustness to initial contours position whether it is inside the target region, or outside background region, or intersects with target and background region, and can segment image automatically.