搜索资源列表
aam_matlab
- 主动形状模型(active appearance model)的matlab代码 训练集和测试集需要从附带的网址上下载或者根据自己的需求构造-matlab code for active appearance model, the training and test sets could be downloaded the website in readme.txt or constructed by yourself according to your problem
Greedy-Snake
- Greedy sanke algorithm implements-贪婪蛇算法的实现,该算法是对原Donna J. Williams 《A fast algorithm for active contours》 (1990) 论文的简化实现。对算法研究很有帮助。参数很多,需要调节才能获得良好的效果。
Multi-resolution-registration
- 肺部不同相位冠状面图像(CT)之间的多分辨率配准。低分辨冠状面图像纵向放大2倍,又运用BP算法提高分辨率,再进行两幅图像之间的多分辨率Active Demons配准。-Multi-resolution registration between lung coronal images of different phases via Active Demons.
2007_LBF
- 李春明 2007年文章“Implicit Active Contours Driven By Local Binary Fitting Energy”的程序源码 希望对你有用!-Li Chunming 2007 article " Implicit Active Contours Driven By Local Binary Fitting Energy" program source hope useful to you!
ActiveContourCompare
- 活动轮廓算法的一个例子。Level Set Evolution Without Re-initialization: A New Variational Formulation-An example of active contour algorithm. Level Set Evolution Without Re-initialization: A New Variational Formulation
LBF
- 主要讲述了主动轮廓法,其中一种经典方法。-Focuses on the active contour method, one of the classic methods.
multi-view-label-AL
- 关于multiview active learning的资料-Information on multiview active learning
Des2ktop
- matlab源码-GAC 侧地活动轮廓模型代码 可以作为参考使用,在学习的过程中 --GAC side matlab source code can be active contour model as a reference, in the learning process
ASM
- 利用Active Shape Model 自动分割手掌-The use of automatic segmentation palm Active Shape Model
c8b9a6e26089
- 主要是关于医学图像处理,采用的方法是C-V模型,及半隐式轮廓活动模型,取得了较好的效果-Mainly on the medical image processing, the method uses a CV model, and semi-implicit active contour models, and achieved good results
3D
- 一种基于双目视觉和激光测距的主动实时三维定位系统-A binocular vision and laser ranging active real-time three-dimensional positioning system based on
Chebyshev
- 无边活动轮廓模型(C-V模型)是水平集分割方法中的一种经典模型.传统的无边活动轮廓模型将灰度同质作为区域分割准则,这使其对于仅含两个同质区域且灰度变化不大的图像能够取得很好的分割效果,但对灰度渐变图像分割时,该模型往往无法得到正确结果.本文针对这一问题,通过引入Chebyshev距离构造一种新的相似度,以此来表征演化曲线内外灰度差异,修改了传统无边活动轮廓模型中均值取值的定义,使得演化曲线在图像灰度变化缓慢区域获得较大的驱动力.新模型克服了传统无边活动轮廓模型不能正确分割灰度渐变图像的不足.实验
Distance-Regularized-Level-Set
- 水平集方法是一种先进的图像分割方法。这个matlab代码演示了一个基于边缘的活动轮廓模型,是下面一篇带距离正则化的水平集方程论文的应用: C. Li, C. Xu, C. Gui, M. D. Fox, Distance Regularized Level Set Evolution and Its Application to Image Segmentation , IEEE Trans. Image Processing, vol. 19 (12), pp. 3243-3254,
Variational_Geodesic_Active_Contour
- 为了解决测地线活动轮廓模型分割有凹边界的对象时,将可能陷入非理想局部极小的缺点,自适应测地线活动轮廓模型被提出。新的模型可以通过添加在原始模型的加速度项调整曲线基于曲线和图像的梯度的曲率的演变速度。此外,为了消除噪声或伪边缘的影响,新的前处理Sobel算子结合高斯滤波器和测地线活动轮廓模型梯度的计算方法。-In order to solve the shortcoming of Geodesic Active Contour model that would possibly sink into
Geodesic_Active_Contour
- 该类方法主要指的是活动轮廓模型(active contour model)以及在其基础上发展出来的算法,其基本思想是使用连续曲线来表达目标边缘,并定义一个能量泛函使得其自变量包括边缘曲线,因此分割过程就转变为求解能量泛函的最小值的过程,一般可通过求解函数对应的欧拉(Euler.Lagrange)方程来实现,能量达到最小时的曲线位置就是目标的轮廓所在。-Such methods mainly refers to the active contour model (active contour mo
snake
- 基于snake模型的目标检测,很好的论文,可以更深入了解主动轮廓模型-Target Detection Based on snake model, a very good paper, you can better understand the active contour model
CV_model2
- 有详实的说明,基于C-V模型的图像分割,属于活动轮廓模型,有典型的图片例子,可以直接运行,适合研究生使用。-There are detailed instructions, CV model-based image segmentation, are active contour models, with typical picture examples can be run directly, for graduate students to use.
RegionBasedLevelSets
- 采用ITK实现水平集算法,不需要边界信息,内附参考论文-Level Set Segmentation: Active Contours Without Edges
fusionGMshangchuan
- MATLAB代码的图像融合。其中包括程序和待处理图像,并进行了详细的分析。亲测可用。-Matlab code for image fusion. Inside the active program and processing images, and a detailed analysis. Pro test available.
TIP2014_EDAC_DEMO
- This software pertains to the research described in the TIP 2014 paper: Enhanced Decoupled Active Contour Using Structural and Textural Variation Energy Functionals -This software pertains to the research described in the TIP 2014 paper: Enhanc