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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
activeContoursDemo
- active contour snake technique for segmentaion of gray scale image
regionbased_seg
- MATLAB code for Active Contour Segmentation
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
activecontourtest
- Active contour with some errors .rar
gcbacDemo
- 此代码实现了主动轮廓与Graphcuts的结合，是图像分割很好用的一个算法，他可以分割边缘有间断的图像。-This code implements the combination of active contour and Graphcuts is a good use of image segmentation algorithm, he can split the edge of intermittent images.
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
guss
- 【高斯核函数改进 参考价值1】LBF活动轮廓模型的改进.pdf【高斯核函数的改进 参考价值5】单核和多核相关向量机的比较研究.pdf-[Gaussian kernel improved reference value 1] .pdf LBF improved active contour models comparative study [.pdf Gaussian kernel improvements reference 5] single and multi-core related ve
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.
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
stomach-cancer-(b)
- This the source code for stomachcancer detection using active contour segmentation and SVM classification method-This is the source code for stomachcancer detection using active contour segmentation and SVM classification method
GAC_upwind
- 测地线主动轮廓边缘提取算法，基于梯度下降流方法实现常见机械零件的边缘轮廓提取-Geodisic Active Contour
as245
- Active Contour Models and Level Set algorithm, as well as several articles of the GVF, the list for the article: [1] Snakes Active Contour Models.pdf [2] Multiscale Active Contours.pdf [3] Snakes, shapes, and gradient vector flow.pdf [4] Motion of le
changeoperator_f
- Active Contour Models and Level Set algorithm, as well as several articles of the GVF, the list for the article: [1] Snakes Active Contour Models.pdf [2] Multiscale Active Contours.pdf [3] Snakes, shapes, and gradient vector flow.pdf [4] Motion of l
convertWrite
- Snakes Active Contour Models.pdf [2] Multiscale Active Contours.pdf [3] Snakes, shapes, and gradient vector flow.pdf [4] Motion of level sets by mean curvature I.pdf
snake_demo
- 活动轮廓算法-Snake（含文档）,详细实验，详细说明文档。-Active contour- snake
Chan-Vese-model
- Chan-Vese模型是基于区域的几何活动轮廓模型,此模型根据灰度级的同质性进行分类，图像域包括背景区域与前景区域。-Chan-Vese geometric model is region-based active contour model, this model are classified according to the gray level of homogeneity, including the background image field area and the foregro