搜索资源列表
d-trem
- “基于度信息的图像过渡区提取与分割”MatLAB源码，自己编的,绝对原创。-Matlab code of "Degree information based image transition region extraction and segmentation".
regionbasedsegm
- Region based segmentation
dfdg
- 基于三角划分的多连通域图形匹配研究.Multiply connected region based on triangulation graph matching study.-Multiply connected region based on triangulation graph matching study.
3231
- 基于分割区域的SAR图像配准方法研究.Based on the segmentation of SAR image registration method based on region.-Based on the segmentation of SAR image registration method based on region.
aghbari_ivc_2006
- Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult
Untitled2
- Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult
Untitled3
- Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult
DDD
- Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult
gaborexamples3122
- Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult
gabordescriptor4545
- Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult
Image-GaborFilter2
- Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult
gaborf
- Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult
Region-Dense
- 基于区域的稠密立体匹配方法（论文） 关键词：种子点；区域增长；稠密匹配-Based on Region Dense Three—dimensional Match Method
auto
- 阈值分割法是一种基于区域的图像分割技术，其基本原理是：通过设定不同的特征阈值，把图像象素点分为若干类-Threshold segmentation method is a region-based image segmentation techniques, whose basic principle is: by setting a different characteristic threshold, the image pixel is divided into several categ
Multiple-Planar-Region-Extraction-
- 基于共面线对多个平面区域提取,2011年ICRA国际会议的文章-Multiple Planar Region Extraction Based on the Coplanar Line Pairs, the articles of the 2011 ICRA International Conference
UB-segger-code.tar
- 3维图像（点云、立体视觉图像）分割算法，基于区域的分割方法-3d image （point cloud，stereo image）segmentation algorithm，region-based.
splitmerge
- 包含两个代码，m文件，基于区域的分裂合并图像分割方法，predicate规定了分裂合并准则，splitmerge用于分裂合并，数字图像处理，冈萨雷斯，Matlab版第十章第四节，区域分离与合并-Contains two code, m files, split and merge region-based image segmentation methods, predicate to the provisions of division merger guidelines, the split
robot2
- 从现在起，我们与灰度图像处理。 “区域”：一个连接像素具有类似属性组 （对象或对象的一部分）。 图像 可能包含每个对象可以包含几个地区几个对象。 图像必须分成解释地区。 所谓的“分割” 两种方法来分割： 以区域为基础 像素被分配到地区使用一些标准来区别于他们的图像的其余部分-From now on, we deal with gray scale images. “Region” : a group of c
LBF
- ：LBF 模型是一个著名的基于区域的活动轮廓模型。与PC（Piecewise Constant）模型不同，该模型引入了一个以高斯函数为 核函数的局部二值拟合（Local Binary Fitting，LBF）能量。因为LBF 能量能够获取图像的局部信息，所以LBF 模型解决了PC 模型 不能处理灰度不均一图像的分割问题。提出了一个改进的LBF 模型，它使用一个新的核函数代替高斯核函数-: LBF model is a well-known region-based active cont
C_V
- 在图像处理中，有些图像既没有明显的边缘，也缺乏明显的纹理特征，传统的分割方法及GAC模型将难以成功实现图像分割。于是提出了C-V模型，其基本思想与传统的基于区域的图像分割方法是一致的：都是根据能量最小原则。 -Image processing, some of the images is neither obvious edge, but also the lack of obvious texture features, the traditional method of segmenta