搜索资源列表
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关于主动轮廓模型的c++程序，详细说明了snake轮廓模型内部外部能量函数的求取等。,On the active contour model of the c++ program, details the snake contour model of internal and external energy function to strike and so on.
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这是“An efficientlocalChan–Vesemodelforimagesegmentation”（简称LCV模型）的MATLAB源代码。LCV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 "An efficientlocalChan-Vesemodelforimagesegmentation" (referred to as the LCV model) of the MATLA
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国外课件：Active shape model 和 active contour model(snake)的matlab 原码，包括PDF格式的程序使用说明-Foreign courseware: Active shape model and active contour model (snake) in the matlab source, including the PDF format of the program instructions
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主要完成了在虹膜识别中的虹膜定位功能，采用了动态轮廓模型（ACTIVE CONTOUR MODEL）-一个学生的毕业设计，支持开源-Mainly completed in the iris recognition function of the iris location, using a dynamic contour model (ACTIVE CONTOUR MODEL)- a student
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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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Chan 和Vese 两位专家建立的水平集模型无梯度主动轮廓水平集算法，图像分割的良好入门程序:)
-Chan and Vese, two experts establish the level set model gradientless level set active contour algorithms, image segmentation process a good entry:)
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非常经典的snake文章。必看之一。Snake模型初始轮廓选取的研究-Very classic snake article. One must-see. Snake model of the initial outline of the selected research
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本文介绍了一种新的主动轮廓模型，即把多尺度和多分辨率融合到主动轮廓里面，有一定的启发意义-This article describes a new active contour model, namely the multi-scale and multi-resolution integration into active contour inside, has inspired a certain significance
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利用梯度矢量流算法进行轮廓提取（图像分割），不错的方法，对原来的ACM模型进行改进（active contour model 活动轮廓模型）-using gradient vector flow algrithm to extract image contour,improvement from active contour model
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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.
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一个新的主动轮廓模型算法，简化了传统的实现过程，性能也有所提高。相关论文(Active Contours Driven by Local Image Fitting Energy)发表在Pattern Recognition 2009上。-A new active contour model algorithm, simplifying the traditional implementation process, performance also improved. Related Paper
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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
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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.
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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
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李纯明最新实现的局部活动轮廓模型的图像分割，比CV模型方法好很多。包含所实现的论文Minimization of Region-Scalable Fitting Energy for Image Segmentation-Li Chunming latest realization of the local active contour model for image segmentation, much better than the CV model approach. The paper
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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
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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“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
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实现论文 Active Contours without Edges 中提出的CV活动轮廓模型，用于分割图像。-To achieve paper Active Contours without Edges, in the CV active contour model for image segmentation.
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参数活动轮廓模型实现的轮廓逼近，开发环境matlab-Contour parametric active contour model implementation approach, the development environment matlab
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active contour model
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