搜索资源列表
圆模板检测算法
- 这是基于模板的圆检测算法,效果不错,试试知道了。下吧-This is based on the template circle detection algorithms, good effect, try know. Are you
houghtoedge
- hough变换对圆的检测源代码,附带图片以及程序说明-hough transform the detection of circular source code, fringe shows and procedures Photo
houghregonize-c
- c语言hough变换实现直线和圆的检测。圆的检测是一种改进算法-c language hough transform linear and circular testing. Circle detection is an improved algorithm
Houghsuanfashixianyuandejiance
- 运用Hough算法实现圆的检测的算法,不同的算法,大家可以进行参考,以便做设计与文章的时候采用.-use Hough algorithm round detection algorithm, a different algorithm, we can engage reference, to do the design and use of the article.
hough-CL
- 一种hough变换对圆的检测的算法,经过检测,可以运行。-hough transform a round of the detection algorithm, through testing, can run.
hough
- 运用Hough算法实现圆的检测 里面是一文本文挡,内含C程序
hough_circle
- Hough变换实现检测圆的程序,对圆形的突变点敏感,可以实现边缘图像中圆的检测。
BmpProcess
- 基于MFC平台,利用Hough变换实现对直线和圆的检测,能很好的检测出来。
hough_circle
- Hough变换对圆的检测 希望对大家有用!
HoughforCircleetection
- Hough变换对圆的检测 Hough变换的基本原理在于,利用点与线的对偶性,将图像空间的线条变为参数空间的聚集点,从而检测给定图像是否存在给定性质的曲线。
hough变换 检测圆
- 可以检测出圆的圆心坐标和半径
圆环边缘检测(自己编程)
- 不使用matlab自带的功能代码,自己编程独立实现图像处理。
circle-detect.用VC编写圆检测程序的一些代码和算法
- 这是我搜集的用VC编写圆检测程序的一些代码和算法,算法以HOUGH变换为主,This is my collection of circle detection using VC procedures to prepare a number of code and algorithm to transform the main HOUGH
圆检测.rar
- 图像的圆检测程序。可以很好地进行灰度图的圆检测,Image circle detection procedures. Grayscale can be carried out of the circle detection
Hough-Circle-Detect.rar
- 可以实现对图像中半径不同的圆形图像区域的检测,Radius of the circle of different detection
Hough变换 图像的形状检测
- 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
myfinalwork
- 实现第十章中采用Hough变换来检测图像中圆的过程。并对我提供的一幅灰度图像(sweden-coins.bmp),通过包括平滑(把细节去除),边缘检测(得到轮廓)以及Hough变换得到的圆,并把结果叠加到原来的灰度图像上。给出具体的过程,中间结果,最后结果,实现的代码,并写出报告-Implement Chapter Hough transform to detect the use of the image circle of the process. And I offer a graysca
breastdetection
- 该程序主要实现人脸检测的功能,通过Hough圆的检测将人脸标示出来。-Face Detection
image_图像边缘检测,图像分割,检测及圆拟合
- 可以实现图像边缘检测,并对圆形区域实现圆的拟合(It can realize image edge detection and circle fitting.)