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work
- 霍夫圆变换找圆并标记所有圆霍夫圆变换已写成库-find round using Hough circle transform
finding-circle-with-HOUGH-method-
- HOUHG 变换检测圆坐标源代码。，确定一个圆需要：X坐标，Y坐标，半径三个未知量。 做一个三维空间的HOUGH域，以这三个未知量作为三个轴，现在按照一定步长进行三重循环，在最内层循环是这样的，X,Y 确定，以不同的半径进行搜索，如果X,Y刚好就是实际图像的X,Y处，半径又搜索到实际真实的半径，那么是 不是在这个三维空间。-C++ code for finding circle with HOUGH method
lunkuonihe
- 包含hough圆检测和hough直线检测，实现对目标图像的轮廓拟合。-Contains hough circle detection and hough straight line detection, contour fitting of the target image.
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
Hough-detect
- 这是一个在VC++环境下的Hough变换检测圆的代码，它能同时检测多个圆，效果较好。-This is a Hough transform circle detection code under VC++ environment, it can simultaneously detect more than one round, the better.
circle_hough
- hough circle fast method
Hough-transform
- opencv霍夫变换：线变换，圆变换合集 在vs2010开发环境下实验测试-Opencv Hough transform: line transform, circle transform set
Hough-transform-standard-circle
- 利用图像变换中的霍夫变换，对图像进行检测，检测图像中的类似圆形或者椭圆的边缘，进行图像的特征识别。-Using the Hough transform in image transformation, the image is detected to detect the edge of a circle or ellipse in the image, and the feature recognition of the image is carried out.
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)
demo2
- 本系统先对图像进行相应出来然后检测图像中的圆，并标识出来。(This system first carries out the corresponding image, then detects the circle in the image, and identifies.)
hough_Circle
- 使用HOUGH变换检测图像中的圆，只要输入图像，设置搜索步长即可。(Use the HOUGH transform to detect the circle in the image, just type the image and set the search step.)
159.cpp
- 能识别多张图片中圆形轮廓的形状，可以快速识别比一般的Hough 圆检测快。(Recognizes the shape of a circular outline in multiple pictures to quickly identify faster detection than the average Hough circle.)
houghcircle
- hough变换实现圆检测，用户可以根据自己的需要随意改变待处理数据和相关参数(hough transform to realise circle detection)
HoughCircles函数
- 霍夫圆变换的HoughCircles函数，检测图像中的圆并绘制出来(The HoughCircles function of the hough transform, detects the circle in the image and draws it out)
Circle
- 实际检测环境无法采集到完美的圆，所以Hough变换检测圆心经常存在偏差。该程序可检测不同角度，不同畸变圆的圆心，并输出其圆心坐标。利用C++实现。(The actual detection environment can not collect the perfect circle, so the Hough transform is often biased to detect the center of the circles. The program can detect the cent
da
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法，它用于把弱分类器联合成强分类器；SVM本身就是(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haa
fa(4)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程)(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast
ga (6)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based
gmm(2)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast Hough circle trans
rq(3)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法，它用于把弱分类器联合成强分类分类器(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaB