Active Geodesics: Region-based Active Contour Segmentation with a Global Edge-based Constraint.

Active Geodesics: Region-based Active Contour Segmentation with a Global Edge-based Constraint.
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DOI:
10.1109/iccv.2011.6126468
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发表时间:
2011-11
期刊:
Proceedings. IEEE International Conference on Computer Vision
影响因子:
--
通讯作者:
Yezzi A
Yezzi A
中科院分区:
其他
文献类型:
--
作者:
Appia V;Yezzi A

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我们提出了一个活动测地线轮廓模型,在该模型中,我们约束不断发展的活动轮廓是一个测地线相对于一个加权的边缘为基础的能源,通过其整个演变,而不仅仅是在其最终状态(如在传统的测地线活动轮廓模型)。由于轮廓在整个演化过程中始终是测地线,因此我们自动获得关于边缘拟合标准的局部最优性。这使我们能够构建一个纯粹的基于区域的能量最小化模型,而不必在我们的能量函数的组合中设计任意的权重来平衡基于边缘的项与基于区域的项。我们表明,这种新的方法相结合的边缘信息作为测地线约束优化一个纯粹的区域为基础的能源产生了一类新的活动轮廓表现出本地和全球的行为,自然响应直观类型的用户交互。我们还展示了这类新的全局约束活动轮廓与传统的最小路径方法的关系,该方法寻求纯粹基于边缘的能量的全局极小值,而不结合基于区域的标准。最后,我们提出了一些数值例子来说明这种方法比传统的活动轮廓模型的好处。
We present an active geodesic contour model in which we constrain the evolving active contour to be a geodesic with respect to a weighted edge-based energy through its entire evolution rather than just at its final state (as in the traditional geodesic active contour models). Since the contour is always a geodesic throughout the evolution, we automatically get local optimality with respect to an edge fitting criterion. This enables us to construct a purely region-based energy minimization model without having to devise arbitrary weights in the combination of our energy function to balance edge-based terms with the region-based terms. We show that this novel approach of combining edge information as the geodesic constraint in optimizing a purely region-based energy yields a new class of active contours which exhibit both local and global behaviors that are naturally responsive to intuitive types of user interaction. We also show the relationship of this new class of globally constrained active contours with traditional minimal path methods, which seek global minimizers of purely edge-based energies without incorporating region-based criteria. Finally, we present some numerical examples to illustrate the benefits of this approach over traditional active contour models.