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Snake模型，也就是常说得Active Contour模型的MATLAB实现，其中还包含了原文献。-Snake model, which is often put Active Contour MATLAB model, it also includes the original literature.
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一种改进的活动轮廓模型－－GVF梯度矢量流模型-Improved active contour models -- gradient vector flow gradient vector model
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在源码实现的研究过程中将采取基于水平集方法的几何活动轮廓模型如测地轮廓模型或Mumford-shah模型与其他的分割方法的结合。针对具体的图像可以将一些先验知识（灰度和形状信息）加入到算法中-source realized in the course of the study will be taken based on the level set method of the geometric active contour models such as the geodesic contour
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基于动态轮廓模型的虹膜定位.在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置，先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心，该圆心只要能落在瞳孔内部即可。然后以该伪圆心为中心，在其周围等角度间隔地取N个点作为初始的snake基准点，按照snake 的运行机制不断进化，直到虹膜的内边界为止。最后，计算进化后的snake形心和snake上的控制点与该形心的距离，取其平均值作为瞳孔的半径，动态轮廓模型的形心作为瞳孔的圆心，即可准确定位出虹膜内边界的位
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基于偏微分框架的全局快速活动轮廓分割模型-Framework based on partial differential global fast active contour segmentation model
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本程序采用半隐式方案实现变分水平集图像分割方法中的模型(Active contour ithout edge)-This program uses the program to achieve semi-implicit variational level set image segmentation methods model (Active contour ithout edge)
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GVF模型的活动轮廓模型，并结合了活动轮廓模型和VGVF模型。-The active contour model of GVF model is combined with the active contour model and the VGVF model.
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基于组相似的活动轮廓模型，Active Contours with Group Similarity，该源码是CVPR2013年中一篇文章的matlab代码，能够自动提取相似目标的公共形状，具有一定的参考价值。-Group similar to the active contour model based on, active contours with group similarity, the source code is CVPR2013 years in an article in th
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基于主动轮廓模型的图像定位算法，此算法效果较好，可以进行定位-Image localization algorithm based on active contour model
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无边界活动轮廓模型的CV分割方法，实时性较好。-The CV segmentation method with no boundary active contour model has good real-time performance.
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snake和lbf模型是活动轮廓的主要模型，利用水平集原理，在处理医学图像上具有很好的效果，可以自适应拓扑结构的变化(The snake and LBF model is the main active contour model, using the level set principle, has the very good effect on treatment of medical image, can be adaptive topology changes)
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snakes主动轮廓模型经典算法代码，实现复杂轮廓的提取(Active contour model)
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形变活动轮廓模型，实现Snake（Kass)模型(The deformable active contour model is used to implement the Snake (Kass) model)
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This paper presents a novel active contour model in a variational level set formulation for simultaneous segmentation and
bias field estimation of medical images. An energy function is formulated based on improved Kullback-Leibler distance (KLD)
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实现snake主动轮廓模型,用于数字图像处理等工程(Implementation of snake active contour model for digital image processing and other engineering)
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基于水平集的活动轮廓模型-LBF模型和LDF模型用于图像分割(image segmentation based on active contour model)
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基于水平集的活动轮廓模型-LCV模型用于图像分割(image segmentation based on active contour model)
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图像分割用各种方法例如，水平集方法，双边滤波，活动轮廓模型(Various methods for image segmentation, such as level set method, bilateral filtering, active contour model)
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By using the local regional information which has the ability to enhance
the image, an improved active contour model based on level set method is proposed.
Defining a novel SPF function with a nonnegative kernel function and local intensity
cluste
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基于能量泛函正则化的理论
将活动轮廓模型和ROF模型结合起来(Theory of energy functional regularization
Combining the active contour model with the ROF model)
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