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[Special EffectsImageSegmentation_vcRes

Description: 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 contours Die Mumford- or-shah model and the other a combination of segmentation. Specific image may be some a priori knowledge (gray and shape information) to join algorithm
Platform: | Size: 55296 | Author: 牛牛 | Hits:

[Special EffectsLevelSet_ChunmingLi_v0

Description: 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-initialization: A New Variational Formulation", in IEEE Proc. of CVPR 2005. EVOLUTION.m: core function that performs level set evolution. Demo1.m: a demo for a real cell images Demo2.m: a demo for a synthetic noisy image Demo1_ManualBinaryInitial: demo for the same image in Demo1, allows manual initialization by the user Demo2_ManualBinaryInitial: demo for the same image in Demo2, allows manual initialization by the user
Platform: | Size: 783360 | Author: 薛正亮 | Hits:

[Special Effectsgacs_matlab_20070214

Description: a fast multigrid solver for geometric active contour models For a detailed description of the method see the paper G. Papandreou and P. Maragos, Multigrid Geometric Active Contour Models, IEEE Transactions on Image Processing, vol. 16, no. 1, pp. 229-240, Jan. 2007.
Platform: | Size: 505856 | Author: wdbigboy | Hits:

[Graph programImage_Contour_Detecting_Base_on_GVF_Snake

Description: 主动轮廓模型( snake) 是计算机视觉领域的重要研究方向, 受到越来越多的研究者的青睐。由于传统snake 具有不能收敛到凹 形区域和收敛速度较慢等缺点, 通过改进外部能量, 引入了梯度矢量流主动轮廓模型(GVF Snake)。实验表明, 该方法能更快、更好的收敛 于图像轮廓。-Active contour model (snake) is an important field of computer vision research direction, by a growing number of researchers of all ages. Because of the traditional snake has not converge to the concave regional and shortcomings such as slow convergence, by improving the external energy, the introduction of the gradient vector flow active contour model (GVF Snake). Experiments show that the method can be faster and better convergence in the image contour.
Platform: | Size: 342016 | Author: 赵希成 | Hits:

[Special EffectsGeodesiActiveContour

Description: 实现了geodesic active contour图像分割算法,用到AOS scheme and level set method-Realize the geodesic active contour image segmentation algorithm, using AOS scheme and level set method
Platform: | Size: 543744 | Author: 黎芳 | Hits:

[Special EffectsGVF_Snake

Description: 图像分割是由图像处理到图像分析的关键步骤,涉及到计算机视觉技术的复杂问题。在医学图像方面,许多应用大都依赖于对图像中目标轮廓的准确提取。基于微分算子检测的方法几乎都对噪声较为敏感且不能保证得到连续的边缘,无法用于辨识和分析目标。由Kass提出的基于主动轮廓线的Snake模型[1],用一个具有一定弹性的封闭曲线,在曲线自身形状约束力和由图像数据计算而来的外部力的共同作用下演化,来逼近目标边界,完成对图像的分割。 GVF snake VC++做的-Image segmentation by image processing to image analysis of the key steps involved in computer vision technology to complex problems. In medical images, many applications largely depends on the target images extracted contour accuracy. Based on the differential operator method of detecting almost all more sensitive to noise and can not guarantee that they will get straight edge, can not be used for target identification and analysis. Kass raised by the active contour based on the Snake model [1], with a certain flexibility of the closed curve in the curve shape their own binding and calculated by the image data from the external force under the joint effect of the evolution of the boundary to approximate the target , completion of the image segmentation. GVF snake VC++ Make the
Platform: | Size: 149504 | Author: happynp | Hits:

[Special Effectssnake

Description: 在MATLAB编程环境下,使用一种活动轮廓的方法实现图像分割的程序。-In the MATLAB programming environment, the use of an active contour method to achieve image segmentation procedures.
Platform: | Size: 5120 | Author: yuyu | Hits:

[Special Effectsgeodesicactivecontours

Description: 医学图像处理中水平集分割方法中的Geodesic active contour模型代码-Medical Image Processing in level set segmentation method in Geodesic active contour model code
Platform: | Size: 17408 | Author: | Hits:

[Special EffectsActiveContourDemos1

Description: 学习图像处理中活动轮廓方法的一个DEMO,很有启发-Learning image processing method of active contour a DEMO, very enlightening
Platform: | Size: 1024 | Author: 强军 | Hits:

[Graph programsegmentation

Description: Region based Active Contour的Matlab实现代码。很经典的方法-Region based Active Contour of Matlab code. Classic method
Platform: | Size: 15360 | Author: 李好 | Hits:

[Special EffectsMewEdgeContour

Description: 活动轮廓方法 检测边缘,可以很好的检测到边缘位置-Active contour method of edge detection can be a very good position to detect the edge
Platform: | Size: 2130944 | Author: baitao | Hits:

[OS programactive_contour_toolbox

Description: 2d active contour basic method
Platform: | Size: 162816 | Author: 杨帆 | Hits:

[Othersnake

Description: 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,与常见的定位方法相比,文中的方法速度快、精度高,而且,对瞳孔初始的伪圆心要求不高,鲁棒性更强。-Digital image of the iris in the location of the effective positioning of the key issues of iris recognition. With a model based on the active contour method of positioning the location of the iris, the first gray projection method used to detect the pupil as the point of the pseudo-pupil center, the center of a circle as long as it can fall within the pupil. And then to the pseudo-center as the center, in terms of their spacing around the N points to get the snake as the initial reference point, the operating mechanism in accordance with the snake continued to evolve until the border until the inner iris. Finally, after calculating the evolution of snake and snake-shaped heart of the control point on the centroid distance, choose the average as the radius of the pupil, the dynamic contour model of the centroid as the center of pupil can be an accurate positioning within the borders of the iris position. The experimental results show that the position with common methods, the methods o
Platform: | Size: 1764352 | Author: 侯汶杉 | Hits:

[Documentstracking

Description: This paper proposes a new method of extracting and tracking a nonrigid object moving while allowing camera movement. For object extraction we first detect an object using watershed segmentation technique and then extract its contour points by approximating the boundary using the idea of feature point weighting. For object tracking we take the contour to estimate its motion in the next frame by the maximum likelihood method. The position of the object is estimated using a probabilistic Hausdorff measurement while the shape variation is modelled using a modified active contour model. The proposed method is highly tolerant to occlusion. Because the tracking result is stable unless an object is fully occluded during tracking, the proposed method can be applied to various applications.
Platform: | Size: 2163712 | Author: sacoura31 | Hits:

[matlabLevelSet_ChunmingLi_v0

Description: a code for method for segmentation using the detection of active contour Level set
Platform: | Size: 776192 | Author: aichaeside1 | Hits:

[Graph programmySnake-2

Description: 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,与常见的定位方法相比,文中的方法速度快、精度高,而且,对瞳孔初始的伪圆心要求不高,鲁棒性更强。 -Position of the iris in a digital image of the iris recognition and effective positioning is the key issue. Using a model based on active contour method of positioning the iris position, the first gray projection method used to detect a point within the pupil as a pupil of the pseudo-center of a circle, the center of a circle can be as long as it falls within the pupil.
Platform: | Size: 287744 | Author: arechi | Hits:

[Special Effectsface

Description: 图像识别,包括人脸识别和虹膜识别,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。-Image recognition, including face recognition and iris recognition, iris position in the digital image of the iris recognition and effective positioning is the key issue. Using a model based on active contour method of positioning the iris position, the first gray projection method used to detect a point within the pupil as a pupil of the pseudo-center of a circle, the center of a circle can be as long as it falls within the pupil.
Platform: | Size: 958464 | Author: 张海 | Hits:

[VC/MFCcontours

Description: 介绍活动轮廓模型,包括活动轮廓的方法各种方法的比较 -Introduced active contour models, including the active contour method of comparison of various methods
Platform: | Size: 1355776 | Author: 靳飞飞 | Hits:

[Special Effectslunkuotuxiangfenge

Description: 舌体轮廓的图像分割是计算机辅助舌诊系统进行图像分析的前提条件。提出了一种基于分水岭交换和主动轮廓模型相结合的自动轮廓分割算法。采用了分水岭变换的结果作为主动轮廓模型算法的初始曲线。在分水岭变换中,通过引入标记函数和强制最小值技术解决了传统分水岭变换可能导致的过分割问题,同时,在保证分割质量的基础上,通过降采样的方法来提高分割速度-Tongue contours for image segmentation is aided tongue diagnosis system, a prerequisite for image analysis. A watershed-based exchange and active contour model by integrating the contour segmentation. Watershed transform using active contour model results as the initial curve. In the watershed transform, through the introduction of mandatory minimum marking function and technology to solve the traditional watershed transformation may lead to over-segmentation, while guaranteeing the quality of the basis of segmentation, by reducing the sampling method to improve segmentation speed
Platform: | Size: 296960 | Author: xiliao | Hits:

[Special Effectsthe-active-contour-method

Description: 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 in the active contour (Snake) model, the introduction of the role of adaptive changes in the direction of the applied force can force the control points can not depend on the initial contour and quickly converge to the real target contour initial contour automatically determines number of control points can be adaptive to change that number in the back to achieve more complex picture of the target contour extraction of air targets by using the model of experiments on the infrared images The results show that it is robust and practical.
Platform: | Size: 161792 | Author: fuky | Hits:
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