Description: live-wire是一种常用于医学图像的交互式分割方法,其基本思想是利用动态规划方法产生图像中给定两点间的最优路径,合理地构造代价函数和选择起始点和目标点,用以提取物体的边缘,十分有效,该份文件中包含说明文件,操作方便.-live-wire is a common medical images in the interactive segmentation method, The basic idea is to use dynamic programming methods to image the scheduled 2:00 optimal path, reasonable price structure and function selection threshold and goals, to extract objects on the verge of a very effective The document includes documentation, easy operation. Platform: |
Size: 6144 |
Author:陈正文 |
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Description: snake 图像分割程序，含有主程序和子程序，简单的交互式控制点选择-snake image segmentation process, with the main program and subprogram, a simple interactive control point selection Platform: |
Size: 4096 |
Author:kexilily |
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Description: 选取读入一份彩色图像，在运行Untitled.m程序时：先用鼠标交互的选取一个颜色区域作为你要与其他色彩分割的目标，，鼠标选取好后，按ENTER健后出现进行分割出现结果。
-Select a color image read in the run Untitled.m program: the first interaction with the mouse, select a color region as the color you want to split with other goals, the mouse selection is completed, press ENTER health appeared after the results of segmentation . Platform: |
Size: 3072 |
Author:何海洋 |
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Description: 彩色图像分割，灰常不错。This function implements kmeans clustering on an input RGB (m x n x 3)
image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this
function will step through an interactive color segmentation using kmeans clustering. It is interactive in that the user will be prompted to click-define the target colors in the segmentation.-This function implements kmeans clustering on an input RGB (m x n x 3)
image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this
function will step through an interactive color segmentation using kmeans clustering. It is interactive in that the user will be prompted to click-define the target colors in the segmentation. Platform: |
Size: 9216 |
Author:zhuweina |
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Description: 1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序是下载的一个通用的虹膜识别程序，可以运行
5 GML_AdaBoost_Matlab_Toolbox是一个很好用的adaboost matlab工具箱
6 libsvm-mat-2.91-1 是用C编写的改进的SVM程序，代码质量很高，提供了matlab接口
7 SIFT_Matlab 是编写的利用sift特征进行的宽基线匹配，代码质量高
8 FLDfisher 是利用fisher 线性降维方法进行人脸识别-1.GeometricContext file is complete the picture in the geometric direction of target classification. References " Automatic Photo Pop-up" Hoiem 2005 2 GrabCut the target file is an interactive segmentation of image reference " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" C. Rother 2004 3 HOG documents prepared under their own HOG Characteristics of pedestrian detection matlab code 4 iris recognition process is to download a general iris recognition program, you can run 5 GML_AdaBoost_Matlab_Toolbox is a good use of adaboost matlab toolbox 6 libsvm-mat-2.91-1 is written in C to improve the SVM procedures, code of high quality, provides a matlab interface to 7 SIFT_Matlab is prepared for the use of sift features a wide baseline matching, the code is the use of high quality 8 FLDfisher fisher linear dimension reduction method for face recognition Platform: |
Size: 6918144 |
Author:张数 |
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Description: 1. 在GUI中，实现图像的阈值分割（交互式、迭代法）、区域生长。
2. 在GUI中，，实现二值图像的膨胀、腐蚀, 比较'结构元素类型为：square,line, diamond, disk等的区别。
3. 在GUI中，实现二值图像的开运算、闭运算。
4. 在GUI中，实现二值图像的形态学应用：
边界抽取 (boundary extraction)
区域填充 (region filling)
细化 (thinning)
粗化 (thickening)
骨架 (skeletons)
修剪 (pruning)(1., in GUI, the image threshold segmentation (interactive, iterative), region growth is achieved.
2. in GUI, to achieve expansion and corrosion of two valued images, compare the types of structural elements: square, line, diamond, disk and so on.
3. in GUI, to achieve two valued images on the open, closed operations.
4. morphological applications of two valued images are implemented in GUI:
Boundary extraction (boundary, extraction)
Zone fill (region, filling)
Refinement (thinning)
Roughening (thickening)
Skeleton (skeletons)
Trim (pruning)) Platform: |
Size: 800768 |
Author:Jamesma
|
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