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labe_forOpencv
- 连通区域标记程序,本程序使用了opencv中图像数据结构：IplImage。算法原理：首先进行第一次扫描，标记连通区域；然后对等价标记进行合并；最后进行第二次扫描，对等价标记进行重新标记。-regional connectivity marking procedures, the procedures for the use of the OpenCV Image data structure : IplImage. Algorithm tenets : first for the first
labe_forOpencv
- 利用opencv对二值图像进行连通域标记-Use of binary image opencv connected domain markers
labe_forOpencv
- 本例使用了opencv中图像数据结构IplImage ：首先进行第一次扫描，标记连通区域；然后对等价标记进行合并，最后进行第二次扫描，对等价标记进行重新标记。-This example uses a data structure of the opencv: IplImage. First, scan for the first time, marking connected region then mark the merger of the equivalence, and final
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.
labe_forOpencv
- 对二值图像进行连通域的提取，就这个功能.-Binary image connected domain extraction, on this function. . .
labe_forOpencv
- .c++连通区域标记算法2，功能和matlab 中的 bwlabel相似，用opencv 编写-.c++ connected component labeling algorithm 2, function and MATLAB similar to the bwlabel, prepared by opencv