搜索资源列表
digui
- 用递归的方法进行连通域的标记，算出面积并且去除小面积的连通域，对于去噪很有效！
link_domain
- C语言编写的图像连通域标记函数，对于图像的形态学预处理非常有用。-Image connected component labeling functions written in C language, the morphological preprocessing of the image is very useful.
labe_forOpencv
- 该算法可以完成二值图像的连通域标记， 并计算出各连通域的面积。非常的方便好用，本人已经测试。-The algorithm can complete the connected component labeling of binary images, and calculate the area of the connected domain. Very convenient and easy to use, I have tested.
biaoji
- 该书介绍了连通域标记的方法，基于递归的连通域标记，方法适用有效-The book is a connected component labeling method, based on recursive connected component labeling, the method is applicable
B112i
- 二值图像连通域标记快速算法,能进行区域检测，附代代说明文档，VB开发-Binary image connected component labeling fast algorithm, region detection attached generation documentation, VB developers
typedef-struct-tagMarkRegion
- 连通域标记C++程序，已经经过验证，可以放心使用-typedef struct tagMarkRegion
1
- 二值图像连通域标记快速算法实现,非常有用的哦。-Binary image connected domain mark fast algorithm ，Very useful
the-binary-image-
- 这里列举二值图像连通域标记算法包括直接扫描标记算法和二值图像连通域标记快速算法-Here are the binary image connected component labeling algorithm including direct scan labeling algorithm and binary image connected component labeling fast algorithm
Binary-image-connected-domain
- 这里列举二值图像连通域标记算法包括直接扫描标记算法和二值图像连通域标记快速算法-Here are the binary image connected component labeling algorithm including direct scan labeling algorithm and a binary image connected component labeling fast algorithm
BWLabel
- 一种最新的连通域标记方法,能够快速进行连通域标记-One of the latest connected component labeling method to quickly connected component labeling
liantongyu
- 八邻域实现的连通域标记，可以去除小的区域-Achieve eight neighborhood connected component labeling, you can remove some of the small non-candidate region
typedef-struct-tagMarkRegion
- 连通域标记C++程序，已经经过验证，可以放心使用-typedef struct tagMarkRegion
typedef-struct-tagMarkRegion
- 连通域标记C++程序，已经经过验证，可以放心使用-typedef struct tagMarkRegion
cPPbiaoji
- c++图像连通域标记，附带详细注释，有需要的下，相信会有所帮助-c++ image connected component labeling, with detailed notes, there is need for the next, I believe will be helpful
GAOXIAO
- 本资源介绍了一种高效的基于二值图像的连通域标记的算法-The resource based on a two value image connected component labeling algorithm is efficient
Fast-Connected-Component-Labeling
- 这里包括2015年论文利用游程集合的标号传播实现快速连通域标记的论文原文和源代码，有作者本人提供，检测二值图像的连通域，我们认为速度比其他算法快得多。-Fast Connected component labeling
For-binary-image-tag
- 这里列举二值图像连通域标记算法包括直接扫描标记算法和二值图像连通域标记快速算法-Here are binary image connected domain algorithm including direct scanning marking algorithm and binary image connected domain tags fast algorithm
TwoPass
- 连通域标记程序-两边扫描法 two pa-connect component label
BWLabel
- 二值图连通域标记算法，标记二值图像的连通域-Two value graph connected domain labeling algorithm
obtain-area
- matlab图像处理求取叶片面积，包含去噪，二值化，连通域标记，去除小面积- MATLAB image processing to obtain blade area, including denoising, two value, connected domain labeling, removal of small area