搜索资源列表
SNAKEGVF
- Active contour models, deformable surface models, edge detection, gradient vector flow, image segmentation, shape representation and recovery, snakes.-Active contour models, deformable surface models, edge detection, gradient vector flow, image s
2009030511085696471
- 活动轮廓模型vc算法，主要完成了取点，重采样，迭代等功能-active contour model algorithm with vc, Including re-sampling, iterative functions，Etc.
ActiveContours
- Active Contours Without Edges
ActiveAppearanceModels(1998)
- amm模型（主动形状匹配模型）在人脸定位中应用较多，通过对样本的训练拟合得到；初始化需要注意-amm model (active shape model matching) face in the application of more targeted, through the training samples have been fitted initialization needs attention
AMT
- Good source code that is written in matlab about active contour.
LocalizedRegionBasedActiveContours
- region based active contours
regionbased_seg
- Region Based Active Contour Segmentation：基于活动轮廓的图像分割算法，ＭＡＴＬＡＢ代码，可用于目标提取，包括实验图片-Region Based Active Contour Segmentation: Active Contour-based image segmentation algorithm, MATLAB code, and can be used for object extraction, including the experimental
levelsetcode
- Active Contour without Edges Matlab Code 李春明版 一种新的水平集方法由Chunming Li教授开发-Active Contour without Edges Matlab Code
face
- 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 po
Fast_Min_Active_Contour_Split_Bregman
- 这是一个基于活动轮廓模型的快速全局最小算法的matlab实现程序，对学习现代图像处理有一定帮助。-This is an active contour model based on the rapid global minimum algorithm matlab implementation process of learning in modern image processing have some help.
LevelSetC-VModel
- 实现水平集模型C-V的代码。active contour without edges.-matlab code of active contour without edges.
active_contour_without_edge
- a model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford–Shah functional for segmentation and level sets.Related paper:Active Contours Without Edges
RegionBasedSnake
- 基于区域的主动轮廓模型算法，是论文《Active Contours Without Edges》的VC算法实现-Region-based active contour model algorithm, for the paper " Active Contours Without Edges" of the VC algorithm
lunkuotuxiangfenge
- 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 prerequis
AAM
- 主动表观模型算法,可以用来对人脸图像进行描述和编码-The algorithm of Active Appearance Model（for c++)
Snake_plus
- 用OPENCV实现的活动轮廓提取，速度较快，对于简单物体轮廓提取效果良好-OPENCV achieved with active contour extraction, faster, for the simple contour extraction well
geometric-active-contours
- image segmentation using geomatric active contours
LBF
- 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
Active-contour-without-edge
- 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“C-V”模型,对于理解变分水平集在图像分割中的应用有极大帮助-This program uses the program to achieve semi-implicit variational level set image segmentation methods " CV" model for understanding the variational level set image segmentation in th
the-active-contour-method
- 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