Using prior shapes in geometric active contours in a variational framework
Using prior shapes in geometric active contours in a variational framework
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DOI：
10.1023/a:1020878408985
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发表时间：
2002-12-01
影响因子：
19.5
通讯作者：
Geiser, EA
中科院分区：
文献类型：
--
作者：
Chen, YM;Tagare, HD;Geiser, EA
在本文中，我们报告了一个主动轮廓算法，是能够使用先验形状。轮廓的能量函数被修改，使得能量取决于图像梯度以及先前的形状。该模型提供了分割和变换，将分割的轮廓映射到先前的形状。活动轮廓能够找到在形状上类似于先前的边界，即使当整个边界在图像中不可见时（即，当边界具有间隙时）。提出了活动轮廓线的水平集公式。我们也建立了能量最小化的解决方案的存在性。我们还报告了使用这个轮廓在2D合成图像，超声图像和fMRI图像的实验结果。经典的活动轮廓不能用于这些图像中的许多。
In this paper, we report an active contour algorithm that is capable of using prior shapes. The energy functional of the contour is modified so that the energy depends on the image gradient as well as the prior shape. The model provides the segmentation and the transformation that maps the segmented contour to the prior shape. The active contour is able to find boundaries that are similar in shape to the prior, even when the entire boundary is not visible in the image (i.e., when the boundary has gaps). A level set formulation of the active contour is presented. The existence of the solution to the energy minimization is also established.We also report experimental results of the use of this contour on 2d synthetic images, ultrasound images and fMRI images. Classical active contours cannot be used in many of these images.