搜索资源列表
randwalk
- 随机游走在图像分割中的应用，它类似于图割算法，利用谱信息进行分割
最大流最小割
- 图割算法，最大流最小割，用于图像分割。
GCBAC
- 基于活动轮廓模型的图割算法，实现图像的高效分割！非常好的代码。希望帮助大家！-Graph cuts based active contours which is used for image segmentation.Excellent source code!
SegmentVideo.tar
- 图像分割元代码，对大部分人学习图割算法进行了实现-Image segmentation element code, for most people to learn graph cut algorithm to achieve
59tt460Grtyt
- 割图的算法，国际上正流行的图像分割方法，希望对大家有帮助-Cut graph algorithms, the international community is a popular image segmentation method, we want to help
qdr-paper
- 基于四叉树与图割的遥感图像分割方法，关于四叉树和图割的应用-Quadtree-based remote sensing image and graph cuts segmentation method, on the quad tree and the application of graph cuts
fcm-GC
- 基于FCM和图割的交互式图像分割方法，关于图割的应用-FCM and the graph cuts based interactive image segmentation method applied on the graph cuts
Sithm
- SIFT特征和图割算法的图像分割方法研究SIFT features and graph cuts image segmentation algorithm-SIFT features and graph cuts image segmentation algorithm
vc-tuxiangchuli
- 本书介绍了各种数字图像处理的算法及编程实现技术。全书由13 章和一个附录组成。主要内容包括: 位图基础、图像的显示、图像的几何变换、图像灰度变换、图像的平滑处理、图像锐化处理及边缘检测、图像分 割及测量、图像的形态处理学、图像的变换域处理及应用、图像的合成、24 位彩色图像的处理、图像的小波变 换和JPEG 图像的压缩编码。-This book presents a variety of digital image processing algorithms and programm
MatlabTUGE
- 基于matlab的一个算法主要是进行图割可以把一张图像按某些特征分割-Based on a matlab algorithm is mainly carried out by graph cut to an image according to the certain feature segmentation
GCmex1.9
- 图像分割的图割方法代码，matlab编程-image segmentation by graphcut based on matlab
[emuch.net]1733851_scissors
- 基于图割的图像分割，应用matlab编程-Image segmentation based on graph cuts
NGC_ACM
- 图割（GC)和主动轮廓模型（ACM)相结合的一种图像分割方法，既可以进行局部图像的分割，也可进行全局图像的分割，简单实用。-A combination of graph cuts (GC) and the active contour model (ACM) image segmentation method, either local image segmentation, global image segmentation, simple and practical.
MinCut
- 实现最小割，基于图的图像分割算法，学习必备。-Minimum cut graph-based image segmentation algorithm, learning essential.
ColorImageSegmentation
- 程序用MATLAB 打开 可以分割图像的前景与背景 可以算出其比例(The foreground and background of the segmented image can be calculated)
图割算法MyGraphCuts0.1
- 实现图像分割，给定基准色将目标完整分割出来。 效果好，速度慢。(To achieve image segmentation, given a reference color to complete the goal of segmentation. Good effect, slow speed.)
基于图割和水平集的肾脏医学图像分割
- 图割和水平集的图像分割，效果明显。多种方法对比(Image segmentation based on graph cut and level set)
grabcut
- 基本的图割法进行图像分割，效果较好，思路清晰(The graph cut method is used for image segmentation, and the effect is bette)
example for Graph Cuts
- 图割算法，用于彩色图像分割 ，一种最优化方法，通过最小化能量函数达到分割的目的(In more recent years, there has been an increasing interest in graph cut based segmentation methods due to their ability to handle highly textured data via a numerically robust global optimization)
NcutImage_7_AMD64
- 图像分割算法，基于归一化割，对边缘的识别较准确。(Image segmentation algorithm, based on normalized cut, is more accurate for edge recognition.)