搜索资源列表
ExtendHoughCircle
- 图像的霍夫变换算法（按照分数高低排序,并过滤掉分数过低的圆）-Image Hough transform algorithm (according to the scores they sort, and filter out low scores circle)
3442146
- 国外matlab研究站点下载的hough变换直线及圆检测代码,-Matlab abroad study site to download the hough transform to straight line and circle detection code,
houghcut
- 基于opencv的hough分割，能实现线段分割和圆的分割-HOUGH CUT
20170602hongseduzuhe
- 2017年06月02日利用hough变换写了一个找圆的函数myFindCircles，找到图像的红色度值，本科毕业设计，验证后是可以用的，实现了苹果红色度特征提取。-2017 years on June 02 using hough transform to write a function to find round myFindCircles, to find the image of the red color value, undergraduate graduation design,
hough_circle
- 霍夫变换可以检测直线，矩形和圆，这里是检测圆形程序，很不错(Hough transform can detect lines, rectangles and circles, here is the detection of circular procedures, very good)
pupiltrack
- 本代码是瞳孔检测，利用高斯平滑减小噪声，直方图均衡化增强对比度，二值化突出眼睛的特征，Hough变换画圆找瞳孔。本代码是利用QT做的界面，经过试验，效果良好。可直接使用。(This is pupil track.We employ Gaussian Smoothing to decrease noise, and equlazation histogram to enhance contrast, and binaryzation to prominent eyes' feature, and
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)
hough_circle
- 利用Hough(霍夫)变换检测图片中的圆，并进行分割(Detection of circles in images by Hof transform)
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