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2下载：
Hough检测直线,圆,椭圆的代码
其中椭圆是用matlab-Hough line detection, round, oval ellipse code which is used Matlab
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用matlab编写的实现椭圆检测的程序，自己稍微改下就可以-using Matlab prepared by the realization ellipse detection procedures, their own little can be changed under
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hough变换检测椭圆的程序
matlab程序,Detected ellipse hough transform procedure
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hough变换检测椭圆的程序
MATLAB程序,hough transform ellipse detection procedure MATLAB program
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hough变换，用于直线和圆，椭圆的检测，很实用,hough transform for line and circle, ellipse detection, it is practical
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利用Matlab编写的基于hough变换的椭圆检测程序，已经运行过的，附图-Written in Matlab, hough transform based ellipse detection procedure has been run off, with photos
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介绍了一种椭圆检测的方法，该方法，基于霍夫变换，并根据椭圆几何特征可以快速准确的提取出椭圆中心。本论文为收费文献，现共享，希望对研究计算机视觉以及近景摄影测量的朋友，有所帮助。-Introduce a kind of ellipse detection method, based on the Hough transform, and in accordance with the characteristics of elliptical geometry can be extracted qu
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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
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hough变换检测椭圆的matlab程序-hough transform matlab ellipse detection procedure
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椭圆、 矩形等的识别，在MATLAB下运行.-Ellipse, round, rectangle recognition.
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ellipse hough detection matlab
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用matlab编写的进行椭圆检测的算法，用到Hough变换-Using matlab for ellipse detection algorithm, Hough transform is used
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不错的检测椭圆程序 只需要改一些参数即可运行-Good testing procedures only need to change some of the ellipse parameters to run
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matlab 程序 运用霍夫椭圆检测原理，进行霍夫椭圆检测，识别图像中的椭-matlab program using Hough ellipse detection principle for Hough ellipse detection, identification image Ellipse Circle
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Matlab环境下利用霍夫变换和椭圆标准公式，在二值图像上自动检测椭圆并标记。-Matlab environment using Hough transform and oval standard formula, the binary image automatically detect and mark the ellipse.
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hough变换检测椭圆的MATLAB程序-hough detection codes to detect shapes in images
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matlab 椭圆拟合比较，一种新方法，减少噪点-Comparison of MATLAB ellipse fitting, a new method to reduce the noise.
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hough变换提取椭圆,可以从二值图像中提取出椭圆(The ellipse can be extracted from Hough transform, and ellipse can be extracted from the two valued image.)
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