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OpenCV学习(19) 细化算法(7)

最后再来看一种通过形态学腐蚀和开操作得到骨架的方法。http://felix.abecassis.me/2011/09/opencv-morphological-skeleton/ 代码非常简单： void gThin::cvmorphThin(cv::Mat& src, cv::Mat&a...

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OpenCV学习(18) 细化算法(6)

本章我们在学习一下基于索引表的细化算法。假设要处理的图像为二值图，前景值为1，背景值为0。索引表细化算法使用下面的8邻域表示法：一个像素的8邻域，我们可以用8位二进制表示，比如下面的8邻域，表示为00111000=0x38=56 我们可以枚举出各种情况下，当前像素能否删除的表，该表大小为256...

OpenCV学习(17) 细化算法(5)

本章我们看下Pavlidis细化算法，参考资料http://www.imageprocessingplace.com/downloads_V3/root_downloads/tutorials/contour_tracing_Abeer_George_Ghuneim/theo.html Comput...

OpenCV学习(16) 细化算法(4)

本章我们学习Rosenfeld细化算法，参考资料：http://yunpan.cn/QGRjHbkLBzCrn 在开始学习算法之前，我们先看下连通分量，以及4连通性，8连通性的概念： http://www.imageprocessingplace.com/downloads_V3/root_down...

OpenCV学习(15) 细化算法(3)

本章我们学习一下Hilditch算法的基本原理，从网上找资料的时候，竟然发现两个有很大差别的算法描述，而且都叫Hilditch算法。不知道那一个才是正宗的，两个算法实现的效果接近，第一种算法更好一些。第一种算法描述参考paper和代码：...

OpenCV学习(14) 细化算法(2)

前面一篇教程中，我们实现了Zhang的快速并行细化算法，从算法原理上，我们可以知道，算法是基于像素8邻域的形状来决定是否删除当前像素。还有很多与此算法相似的细化算法，只是判断的条件不一样。在综述文章， Thinning Methodolo...

OpenCV学习(13) 细化算法(1)

程序编码参考经典的细化或者骨架算法文章： T. Y. Zhang and C. Y. Suen, “A fast parallel algorithm for thinning digital patterns,” Comm. ACM, vol. 27, no. 3, pp. 236-239, 19...

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