REGION-BASED STRATEGIES FOR ACTIVE CONTOUR MODELS

REGION-BASED STRATEGIES FOR ACTIVE CONTOUR MODELS
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DOI:
10.1007/bf01427153
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发表时间:
1994-10-01
影响因子:
19.5
通讯作者:
RONFARD, R
RONFARD, R
中科院分区:
计算机科学2区
文献类型:
--
作者:
RONFARD, R

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变分方法是由Kass等人提出的。(1987)在物体轮廓建模领域,作为更传统的边缘检测-边缘细化-边缘排序序列的替代。由于该方法基于对图像进行预处理以产生边缘图,因此它具有所使用的边缘检测器的局限性。在本文中,我们提出了一种改进的轮廓建模变分方案,它不使用边缘检测步骤,而是只在轮廓邻域周围进行局部计算,并提出了一种增强可变形轮廓曲线建模活跃性的“预期”策略。许多概念最初是在Leclerc&Zucker(1987)的理论和形式声明中引入的,用于研究不连续的局部结构,但从未在这样的实际情况下使用过。本文的第一部分介绍了一种基于区域的活动轮廓能量判据,并与蛇的梯度边缘图能量进行了比较,分析了它的含义。在此基础上,提出了一种简化的优化方案,将内能和外能分开考虑。这导致了一个完整的治疗,这在论文的最后几节(4和5)中有描述。这里使用的优化技术大多是启发式的,因此没有正式的证明,但被认为填补了蛇和其他有用的图像表示之间的空白,例如拆分与合并区域或混合线标签图像场。
The variational method has been introduced by Kass et al. (1987) in the field of object contour modeling, as an alternative to the more traditional edge detection-edge thinning-edge sorting sequence. Since the method is based on a pre-processing of the image to yield an edge map, it shares the limitations of the edge detectors it uses. In this paper, we propose a modified variational scheme for contour modeling, which uses no edge detection step, but local computations instead-only around contour neighborhoods-as well as an ''anticipating'' strategy that enhances the modeling activity of deformable contour curves. Many of the concepts used were originally introduced to study the local structure of discontinuity, in a theoretical and formal statement by Leclerc & Zucker (1987), but never in a practical situation such as this one. The first part of the paper introduces a region-based energy criterion for active contours, and gives an examination of its implications, as compared to the gradient edge map energy of snakes. Then, a simplified optimization scheme is presented, accounting for internal and external energy in separate steps. This leads to a complete treatment, which is described in the last sections of the paper (4 and 5). The optimization technique used here is mostly heuristic, and is thus presented without a formal proof, but is believed to fill a gap between snakes and other useful image representations, such as split-and-merge regions or mixed line-labels image fields.