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guanyihough
- 广义Hough变换_多个圆的快速随机检测。基本上解决了多个元检测的问题
CircledetectionbasedonrandomHoughtransform
- 基于随机Hough变换的圆检测方法,可检测不同位置、半径的圆。
Hough
- 一种随机Hough变换检测圆的改进算法,很好的提高了检测圆的性能
yizhongsuijiduotuoyuanjiancedekuaisusuanfa
- 针对多椭圆检测问题提出了一种快速随机检测算法。该算法利用在图像中随机采样到的一个边缘点和 局部搜索到的两个边缘点以及这三个点的邻域信息确定候选椭圆,再将候选椭圆变换为对应圆,通过确认真圆来确 认真椭圆。在确定候选椭圆时,最大限度地减少随机采样点数 剔除更多的非椭圆点,降低了无效采样,减少了无效 计算。数值实验结果表明:该算法具有良好的鲁棒性,其检测速度比同类算法快-Ellipse detection problem for many a fast random detect
houghyuan
- 一种快速的随机Hough变换圆检测算法,模式识别的经典实例,图像图像处理的源码-A fast randomized Hough transform circle detection algorithm, a classic example of pattern recognition, image processing of the source image
RHTv1.4
- 一个很有用的随机hough变化检测圆的例子,在linux下编译,带有测试的例子,很实用-A useful change detection hough random example of a round in under linux compiled with the test example, it is practical
hough
- 根据园的方程(x-a)×(x-a)+(y-b)×(y-b)=R×R,将参数空间增加到a,b,R三维空间. 常用的hough变换计算量太大,然而随机hough变换虽然计算量相对小点,但是准确率没有前者高.现在使用 一种改进的方法:提取边缘图像,然后边缘跟踪,在边缘曲线上进行hough变换检测圆.-According to Park' s equation (x-a) × (x-a)+ (y-b) × (y-b) = R × R, the parameter space to a,
circle_pca24
- 基于曲线段PCA分析的随机hough变换圆检测算法研究 该算法在计算、存储消耗上均大大 减少。-PCA analysis based on curve segments of random hough transform circle detection algorithm to study the algorithm in computing, storage consumption to both greatly reduced.
hough4
- 一种基于随机Hough 变换圆检测的改进算法广义的 Hough 变换可以推广至检验任意形状。-Based on randomized Hough transform circle detection algorithm improved generalized Hough transform can be extended to test any shape.
random-hough-transform
- 利用随机霍夫变换进行圆的检测,matlab编写-Randomized Hough transform for circle detection, Matlab prepared
circle_pca24
- 基于曲线段PCA分析的随机hough变换圆检测算法研究 该算法在计算、存储消耗上均大大减少。-PCA analysis based on curve segments of random hough transform circle detection algorithm to study the algorithm in computing, storage consumption to both greatly reduced.
RHT
- 基于VC6和OpenCV库函数,利用随机霍夫变换检测图像中圆的MFC程序。-This is a MFC program that using Randomized Hough Transform (RHT) to detect circles image, based on VC6 and OpenCV library.
源程序
- 利用hough变换检测圆,有RHT,随机hough变换,以及一些改进(Using Hough transform to detect the circle)