摘要
结合CV和LBF模型,提出一种混合的活动轮廓模型,同时采用L2+Sobolev梯度实现PDE演化方程.实验结果表明,该模型能够分割背景同质目标非同质以及简单的多目标同质图像,对初始轮廓大小以及噪声不敏感.
In combination with the CV and LBF model, we propose a hybrid active contour model, using the L2 ＋ Sobolev gradient method to achieve the evolution PDE equation. Experimental results show that the proposed model can segment images with homogeneous background and inhomogeneous foreground, and also the simple multiple target images, while it is less sensitive with the initialization and noise.
出处
《福州大学学报（自然科学版）》
CAS
CSCD
北大核心
2014年第6期841-846,852,共7页
Journal of Fuzhou University(Natural Science Edition)
基金
国家自然科学基金资助项目(11071270)
