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matlab环境下利用hough变换实现圆检测,matlab environment using hough transform circle detection
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圆的hough变换边缘检测及提取，Matlab程序，对图像方面的研究和学习有一定帮助。-Hough transform circle edge detection and extraction, Matlab program, the image of research and learning have some help.
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Hough变换在圆检测中的应用，MATLAB程序源代码。-Hough transform in a round Detection, MATLAB source code.
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基于曲线段PCA分析的随机hough变换圆检测算法研究 该算法在计算、存储消耗上均大大
减少。-PCA analysis based on curve segments of random hough transform circle detection algorithm to study the algorithm in computing, storage consumption to both greatly reduced.
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Circles
We can extend the Hough transform to other shapes that can be expressed parametrically. For example, a circle of
fixed radius can be described fully by the location of its center (x, y).
Think of each feature (edge) point on the circle
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画圆，，复杂背景下，圆心的中心定位，使用的是霍夫变换-Circle, complex background, the center of the circle' s center position, using a Hough transform
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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 transform, circle detection is the basic principle of Hough transform, using point and line duality, the lines of the image space into a rallying point for th
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hough变换检测图像中的一个圆并显示。有图片，可直接运行看结果。-hough transform to detect the image of a circle and displayed. Pictures, can be run directly see the results.
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matlab code for sharing. this code is use to determine the hough circle
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To find circle using hough transform
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Matlab Function for HOUGH transform for a circle coordinates-Matlab Function for HOUGH transform for a circle coordinates..
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Hough circle detector using hough transform in Matlab
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利用霍夫变换检测圆，求圆的半径-Using Hough transform to detect circles, find the radius of the circle. . . . . . . . .
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利用随机霍夫变换进行圆的检测，matlab编写-Randomized Hough transform for circle detection, Matlab prepared
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这个一个用matlab语言写的，用Hough算法来检测圆的源程序，实用性好-Matlab language used to write this one, using circular Hough algorithm to detect the source, practical good
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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
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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
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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
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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
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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
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