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GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, chara
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active contour model算法的C源代码,是图形图像工作者的好东东。-active contour model algorithm in C source code, graphic images workers is a good Dongdong.
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图像分割常用的主动轮廓模型中的一个经典算法——贪心算法-image segmentation commonly used active contour model of a classical algorithm -- greedy algorithm
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图像分割中常用的主动轮廓模型的一个经典算法,GVF(梯度矢量流模型)-Segmentation commonly used active contour model of a classical algorithm, gradient vector flow (gradient vector model)
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GAC evolves the level set function according to geodesic active contour model-GAC evolves the level set function accordi Vi to geodesic active contour model
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This Matlab code implements an edge based geometric active contour model without reinitialization.
MATLAB Release: R13SP1
This Matlab code implements the level set method in Chunming Li et al s paper \"Level Set Evolution without Re-initia
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图像处理的关于Snakes : Active Contour Models算法和水平集以及GVF的几篇文章,文章列表为:
[1]Snakes Active Contour Models.pdf
[2]Multiscale Active Contours.pdf
[3]Snakes, shapes, and gradient vector flow.pdf
[4]Motion of level sets by mean curvature I.pdf
[5]Spectral S
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Name: gmac = global minimization of the active contour model
% Descr iption: see paper \"Fast Global Minimization of the Active Contour/Snake Model\" in JMIV07
% Author: Xavier Bresson (xbresson@math.ucla.edu)
% Lastest version: 07-09-21
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Snake 动态轮廓模型,GVF Snake,经典文章两篇。Active contour model. Kass Snakes Active Contour Models, Xu , Snakes, Shapes, and Gradient Vector Flow
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基于GVF和VFC主动轮廓模型代码,代码采用matlab编写,另外有C语言编程提供更快运行速度-VFC based GVF active contour model and code, code written using matlab, another C programming language to provide faster speed
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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置。实验表明,与常见的定位方
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Active Contour Model Based on Mathematical Morphology
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这是“Implicit Active Contours Driven by Local Binary Fitting Energy”(简称LBF模型)的MATLAB源代码。LBF模型是非常重要局部区域活动轮廓模型,它被广泛使用于各个领域,如MRI大脑图像分割,血管图像分割,图像偏差场纠正。-This is the "Implicit Active Contours Driven by Local Binary Fitting Energy" (referred to as the LBF mod
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提出一种新的广泛应用于数字图象分析和计算机视觉的主动轮廓(Snake)模型,引
入作用方向可以自适应变化的外加强制力,使控制点能够不依赖于初始轮廓而快速地收敛
到目标的真实轮廓;初始轮廓自动确定;控制点的数目可以自适应地改变;能够在背号比较
复杂的图象中实现对目标轮廓的提取 用该模型对空中目标的红外图象进行的实验结果表
明其具有很好的鲁棒性和实用性.-A new widely used in digital image analysis and computer vision i
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pdf文献,图形图像处理中常用的经典变形模型英文文献,可用于检测轮廓-pdf documents, graphics, image processing, deformable model commonly used in classic English literature, can be used to detect contours
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实现论文 Minimization of region-scalable fitting energy for image segmentation 中提出的RSF模型,也适用于LBF模型,用于图像分割。-RSF model of the papers Minimization of region-scalable fitting energy for image The a segmentation , LBF model for image segmentation.
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global minimization of the active contour model
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Chan-Vese模型是基于区域的几何活动轮廓模型,此模型根据灰度级的同质性进行分类,图像域包括背景区域与前景区域。-Chan-Vese geometric model is region-based active contour model, this model are classified according to the gray level of homogeneity, including the background image field area and the foregro
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主动轮廓模型 chan vese模型 内含实验图片(Active contour model Chan Vese model contains experimental pictures)
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CV模型是现在应用较广泛的一种图像分割方法,快速实现图像的分割,是一种几何活动轮廓模型(CV model is a widely used image segmentation method. It is a geometric active contour model to quickly realize image segmentation.)
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