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RHT
- 基于VC6和OpenCV库函数,利用随机霍夫变换检测图像中圆的MFC程序。-This is a MFC program that using Randomized Hough Transform (RHT) to detect circles image, based on VC6 and OpenCV library.
Desktop
- hough圆变换,边缘处理后的图像找圆重新绘制,附有验证图片-hough circle transform, image processing to find the rear edge of the circle is redrawn, with verification image
houghtest
- opencv3.0霍夫变换找直线,找圆,直接在视频状态下进行实时找直线,找圆-显示以下内容的翻译: opencv 3.0霍夫变换找直线,找圆,直接在视频状态下进行实时找直线,找圆 仍然翻译: opencv3.0霍夫变换找直线,找圆,直接在视频状态下进行实时找直线,找圆 opencv 3.0 Hough transform to find a straight line, find circle。 at the video state directly in real time to fi
hough_circle
- 霍夫变换识别图像中的圆,并定位圆心的程序,适用于图像中有多个圆的情况-Hough transform to identify the image in the case of a circle, and the center of the positioning procedure, a plurality of circular applies image
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
x
- 计算机视觉中经常需要识别或者定位某些几何图形,比如直线,圆等,还有其他一些图形。检测这些几何图形的霍夫变换提供了在图像中寻找图形的一种算法-Computer vision are often necessary to identify or locate some of the geometry,such as lines,circles and other graphics.Hough transform to detect these geometry provides a graphic
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)
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