搜索资源列表
LGIF
- 这是“Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation”（简称LGIF模型）的MATLAB源代码。LGIF模型是非常重要局部区域活动轮廓模型, 它结合了CV模型和LBF模型各自的优点。-This is the "Active contours driven by local and global inten
Image_Segmentation_Active_Coutour_Local_Binary_Fit
- 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
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
cv2
- 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(Active contour without edge)-This program uses the program to achieve semi-implicit variational level set image segmentation methods " CV" model (Active contour without edge)
02
- 采用了标准的CV模型算法（无边缘活动轮廓模型算法），实现图像分割-Using the standard CV model algorithm (active contour model without edges algorithm) to achieve image segmentation
simple-one
- 主动轮廓模型CV算法的实现，可以实现对图像的轮廓提取-Active contour model CV algorithm, can extract the contours of the image
CV-Active-contour-model
- 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.
activecontour-CV
- 主动轮廓模型CV算法，实现核磁共振脑实质分割-active contour CV Algorithm
cv2
- 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(Active contour without edge)-This program uses the program to achieve semi-implicit variational level set image segmentation methods " CV" model (Active contour without edge)
classical-image-segmentation-
- 图像处理中经典的C-V（无边缘活动轮廓）模型和GAR（测地线活动区域）模型！- classic CV ( active contour without edge ) model and GAR (geodesic active region) model in Image processing!
RD_code
- First run add_path.m, and then run the demos in the file Demo . This is newest active contour code for re-initialization scheme You can also test your own images. The tested functions are in the file TEST , you can run the GAC model and
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
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
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.
Active-contour
- 用主动轮廓线CV算法对输入图像实现图像边缘提取-Active contour line CV algorithm for image edge extraction
CVdaima
- 无边界活动轮廓模型的CV分割方法，实时性较好。-The CV segmentation method with no boundary active contour model has good real-time performance.
CV方法分割彩色图片
- this is a simple matlab code of paper Active Contours without Edeges for Vector-Valued Images proposed by TonyF.Chan 1999, it included two test piture and test result(this is a simple matlab code of paper Active Contours without Edeges for Vector-V
CVmodel
- 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)
CV model code1
- 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.)