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- 用matlab检测直线，圆。椭圆的程序，对直线程序进行了改进，采用随机霍夫变换 ＆由粗到细的检测方式检测，效果好-detection using Matlab straight round. Elliptic procedures, the procedures for linear improvement, randomized Hough Transform & by coarse-to-fine detection methods for detection, effectiv
hough_lw
- 利用霍夫变换来实现图像的边界检测，本代码实现圆和直线的检测-use Hough transform to image the boundary detection, the moon and the code to achieve a linear detection
getcircle
- 现对图像进行边缘提取，然后利用霍夫变换提取图像中的圆环
hough
- 霍夫变换是一个非常有用的算法，可以检测直线、圆、椭圆等等，也可以进行边缘连接。
HoughT
- 该文章说明了有关霍夫变换对直线、圆、椭圆进行检测的基本原理和主要源码
hough
- 图像处理中经常需要检测圆形状的物体，该程序用霍夫变换可以检测圆的圆心和半径。
matlab_hough
- 基于霍夫变换开发一种较通用的快速圆检测方法，并将之应用到虹膜图象的检测中，完成对虹膜内、外边缘的定位。
hongmo
- 采用霍夫变换,对虹膜外圆和外圆的精确定位.
Hough_Matlab
- Hough变换_用霍夫曼方法检测圆、直线的Matlab程序 -Hough transform method _ with Hoffman yen, a straight line of Matlab procedures
houph_MFC
- 在MFC环境下用openCV实现sobel算子和霍夫变换检测直线和圆-In the MFC environment with openCV achieve sobel operator and the Hough transform detection of lines and circles
HoughCircle
- matlab进行霍夫变换检测圆...未使用matlab的源码-matlab for Hough transform to detect circles ... not use the source code matlab
Circle
- 利用霍夫变换检测圆，可检测多个。内有详细介绍。-Using Hough Transform Detect circular, can detect multiple. There is a detailed introduction.
circlehoughdetection
- 霍夫变换圆检测
hough_circle
- 霍夫变换圆检测 使用sobel算子进行边缘检测，并且完成边缘细化 -edge detection function, nonmax suppression hough transform circle detection
hough
- 霍夫变换圆检测MATLAB程序 利用霍夫变换进行圆检测的MATLAB代码，带有详细解释，适合新手-Hough transform circle detection procedure using the Hough transform MATLAB circle detection MATLAB code with detailed explanations, suitable for beginners
hough
- 霍夫变换圆检测，含有霍夫变换的检测函数以及对一幅图像的完整检测代码-Hough transform circle detection
test7
- 利用霍夫变换，用霍夫圆粗略早出圆形类似物(Using Hof transform, with roughly circular Hough circle early analogues)
霍夫圆变换
- 可以通过边缘检测等等算法，实现霍夫圆变换(The edge detection algorithm and so on, realize the circle Hough transform)
霍夫线变换综合示例
- 利用霍夫变换快速检测直线或圆，但是首先对图像进行边缘检测，霍夫变换输入为边缘二值图像(Hough transform is used to detect straight lines or circles, but first, edge detection is carried out, and Hough transform is used as edge two valued image)