Description: 不用多说了，和Hogh搭配使用检测直线的程序
直线Hough变换利用图像空间和Hough参数空间的点－线对偶性，把图像空间中的检测问题转换到参数空间。通过在参数空间里进行简单的累加统计，然后在Hough参数空间寻找累加器峰值的方法检测直线。-Needless to say, Hogh mix and the use of linear detection procedures Hough transform space and the use of images Hough parameter space The point-line duality, the image space detection switch to the parameter space. Through the parameter space for a simple cumulative statistics, then Hough parameter space for accumulator peak detected straight. Platform: |
Size: 1024 |
Author: |
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Description: 设定循环检测次数，这里设为只循环一次
tip_l=1
设定hough变换的遍历步径
xl=30 ％设定线段起始点
xr=60 ％设定线段终止点-Set the number of cycle detection, here is set to cycle only once tip_l = 1 set hough transform Path traversal step xl = 30 set line segment starting point xr = 60 set line segment termination point Platform: |
Size: 1024 |
Author:宗常进 |
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Description: 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。-Hough transform circle detection procedure, the mutation point of a circular sensitive, you can realize edge detection image circle. Platform: |
Size: 2048 |
Author:无梦 |
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Description: 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 for circle detection Hough transform basic principle is that the use of point and line duality, the image space into a parameter space of lines gather, thus detecting the existence of a given image given the nature of the curve. Platform: |
Size: 13312 |
Author:huangyusheng |
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Description: 介绍一种实用的二维条码识别算法。首先探讨了二维条码的定位与分割算法,利用Hough变换与Sobel边缘检测把条码图像从原始采集的图像中有效地分割出来 然后分析了条码图像经过光学系统的噪声模型,提出了一种计算点扩展函数标准方差的算法 采用Flourier变换自适应地选取阈值去除噪声导致的无效边界,从而得到条码的基本模块。实验结果表明,该算法具有很好的抗噪性,提高了二维条码的识别率。
-A practical two-dimensional barcode recognition algorithms. First of all two-dimensional bar code of the positioning and segmentation algorithm using Hough Transform and Sobel edge detection of the bar code images collected from the original image to effectively separate and then analyzes the barcode image through the optical system of the noise model, put forward a Calculation of point spread function of standard deviation of the algorithm uses Flourier transform adaptively select the threshold to remove noise caused by invalid border, bar code and thus be the basic module. Experimental results show that the algorithm has good noise immunity, improved two-dimensional bar code recognition rate. Platform: |
Size: 2048 |
Author:黄新 |
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Description: 介绍一种实用的二维条码识别算法。首先探讨了二维条码的定位与分割算法,利用Hough变换与Sobel边缘检测把条码图像从原始采集的图像中有效地分割出来 然后分析了条码图像经过光学系统的噪声模型,提出了一种计算点扩展函数标准方差的算法 采用Flourier变换自适应地选取阈值去除噪声导致的无效边界,从而得到条码的基本模块。实验结果表明,该算法具有很好的抗噪性,提高了二维条码的识别率。
-A practical two-dimensional barcode recognition algorithms. First of all two-dimensional bar code of the positioning and segmentation algorithm using Hough Transform and Sobel edge detection of the bar code images collected from the original image to effectively separate and then analyzes the barcode image through the optical system of the noise model, put forward a Calculation of point spread function of standard deviation of the algorithm uses Flourier transform adaptively select the threshold to remove noise caused by invalid border, bar code and thus be the basic module. Experimental results show that the algorithm has good noise immunity, improved two-dimensional bar code recognition rate. Platform: |
Size: 1024 |
Author:黄新 |
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Description: hough 变换实现直线检测
在噪声服从高斯分布的背景中构造信噪比为2、长度为34像素的目标线段；在找出线段所在直线后，在采用固定长线段滑动的方法，确定线段的起始点，最终确定线段的确切位置。-hough transform line detection
in the noise to obey Gaussian distribution of the background-noise ratio for the structure 2, with a length of 34 pixels of the target segment at to find out where the straight line segment after the introduction of fixed long-term method of sliding paragraph to determine the segment of starting point, and ultimately determine the exact location of line segments. Platform: |
Size: 1024 |
Author:fisher |
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Description: 针对多椭圆检测问题提出了一种快速随机检测算法。该算法利用在图像中随机采样到的一个边缘点和
局部搜索到的两个边缘点以及这三个点的邻域信息确定候选椭圆,再将候选椭圆变换为对应圆,通过确认真圆来确
认真椭圆。在确定候选椭圆时,最大限度地减少随机采样点数‰ 剔除更多的非椭圆点,降低了无效采样,减少了无效
计算。数值实验结果表明:该算法具有良好的鲁棒性,其检测速度比同类算法快-Ellipse detection problem for many a fast random detection algorithm. The algorithm uses random sampling in the image of an edge point and the local search to the two edge points, as well as the three-point neighborhood information to determine the candidate ellipse, and then transformed into the corresponding elliptical candidate won, through the identification of real yen to confirm really elliptical. In determining when a candidate ellipse, to minimize random sampling points ‰ remove more non-oval points, reducing invalid sampling, to reduce the calculation invalid. Numerical experimental results show that: the algorithm has good robustness, and its detection faster than similar algorithms quickly Platform: |
Size: 526336 |
Author:刘镖峰 |
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Description: 对于较粗的样本点集 hough 算法是不可能做到检测全部直线的. 另一方面 hough 还会测出许多不存在的直线. 在应用的时候只能根据需要自己标定 精度.
以下是我在MATLAB下开发的hough函数 输入一个灰度图形矩阵, 返回 最长直线斜率. 用来做图形倾斜校正的. 希望贴出来还能有点用吧~-For a sample point set coarse algorithm hough it is not possible to do all the straight line detection. Hough will be measured on the other hand, much of the straight line does not exist. At a time when the application can only be based on the needs of calibration accuracy of their own. The following is in my MATLAB hough function developed under a gray-scale graphics input matrix, the slope of a straight line back up. to make graphics tilt correction. I hope it can paste a bit with it ~ Platform: |
Size: 1024 |
Author:paul |
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Description: ：给出了一种新的Hough 变换圆检测方法——点Hough 变换（PHT）。该方法根据圆周上任意两条不平行弦的中垂线相交与圆心的几
何性质，同时选取曲线上3点 进行计算，将传统Hough变换圆检测时的三维参量统计变成一维参量统计，极大地降低了计算复杂性和对资源的需求。为了克服任意选取组合点可能带来的计算量增加及统计结果的分散程度提高,文中提出了点的选择方法。合成图和实际图像的实验结果表明，该方法用于普通图像中圆检测时快速、稳定、准确。-: This paper presents a new method of Hough transform circle detection- point Hough transform (PHT). The method according to any circle on the two parallel strings do not intersect with the vertical center of the geometric properties, select the curve at the same time to 3:00, the traditional Hough transform circle detection parameters when the three-dimensional into a one-dimensional statistical parametric statistics, greatly reduces the computational complexity and demand for resources. In order to overcome the combination of any selected point of the calculation of the potential increase in the dispersion results and the degree of increase in the points raised in the text of the selection method. Synthesis of maps and images of the actual experimental results show that the method can be applied to general image circle detection in rapid, stable and accurate. Platform: |
Size: 212992 |
Author:王浩 |
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Description: 典型的角度检测算法是进行Hough变换后寻找最长直线的倾斜角度．一般情况
下，待处理图象中未必有明显的较长直线．甚至存在一些对图像进行正确检测的长直线干扰 文
章介绍了一种基于统计考虑的数据分析思路，以期在基于Hough变换的角度检测算法上取得更高
的准确性。-The perspective of a typical detection algorithm is the Hough transform to find the longest straight line after the tilt angle. Under normal circumstances, to be processed image may not be obvious in a long line. Even some of the correct image of the long straight-line interference detection article presents an approach based on statistical data analysis to consider ideas, with a view to the point of view based on the Hough transform detection algorithm to achieve higher accuracy. Platform: |
Size: 182272 |
Author:liyu |
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Description: 本程序实现hough变换。Hough变换是图像处理中从图像中识别几何形状的基本方法之一。Hough变换的基本原理在于利用点与线的对偶性，将原始图像空间的给定的曲线通过曲线表达形式变为参数空间的一个点。这样就把原始图像中给定曲线的检测问题转化为寻找参数空间中的峰值问题。也即把检测整体特性转化为检测局部特性。比如直线、椭圆、圆、弧线等。
-Hough transform this program. Hough transform image processing image recognition from the basic geometry methods. The basic principle of Hough transform is to use point and line duality, the original image space curve given expression through the curve of the parameter space into a point. This had given the original image in the detection curve into a parameter space to find the problem in the peak. That is, the overall characteristics of the detection of local features into testing. For example, a straight line, oval, round, arc and so on. Platform: |
Size: 14336 |
Author:cui ju |
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Description: 在AdaBoost人脸检测的基础上,对眼睛实现精确定位。先得到人脸图像的谷区域图像,
再获取眼睛的候选点,综合分离度信息和霍夫变换的结果来计算每一个眼睛对的代价函数,找到比较
准确的眼睛位置。-In the AdaBoost face detection based on the accurate positioning of the eyes. Obtain prior approval from the image of the Valley area face images,
And then obtain the candidates for the eye point, a comprehensive separation of information and the results of Hough transform to calculate the cost of each eye to the function, to find more
Exact location of the eye. Platform: |
Size: 509952 |
Author:张正荣 |
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Description: Hough变换是图像处理中从图像中识别几何形状的基本方法之一。Hough变换的基本原理在于利用点与线的对偶性，将原始图像空间的给定的曲线通过曲线表达形式变为参数空间的一个点。这样就把原始图像中给定曲线的检测问题转化为寻找参数空间中的峰值问题。也即把检测整体特性转化为检测局部特性。比如直线、椭圆、圆、弧线等。
-Hough transform image processing image recognition from the basic geometry of one of the methods. The basic principle of Hough transform is to use point and line duality, the original image space, the curve of a given expression through the curve into a parameter space of a point. This put the original image in the detection of a given curve is transformed into a parameter space to find problems in the peaks. That is to detect the overall characteristics of transformation for the detection of local features. For example a straight line, ellipse, circle, arc and so on. Platform: |
Size: 24576 |
Author:王超 |
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Description: 利用OPENCV函数库所进行的极坐标变换。利用Hough变换进行直线、圆检测。计算一副彩色图像的色度-饱和度直方图。用卡尔曼滤波器跟踪一个旋转点。-OPENCV library use conducted by polar transformation. The use of a straight-line Hough transform, circle detection. Calculating a color image of the color- saturation histogram. Kalman filter to track a rotating point. Platform: |
Size: 8192 |
Author:胡锦 |
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Description: 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 the parameter space so as to detect the existence of a given image given the nature of the curve. Platform: |
Size: 13312 |
Author:罗慧 |
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Description: Hough变换是图像处理中从图像中识别几何形状的基本方法之一。Hough变换的基本原理在于利用点与线的对偶性，将原始图像空间的给定的曲线通过曲线表达形式变为参数空间的一个点。这样就把原始图像中给定曲线的检测问题转化为寻找参数空间中的峰值问题。也即把检测整体特性转化为检测局部特性。比如直线、椭圆、圆、弧线等-Hough transform is image processing image recognition from the basic geometry of one of the methods. The basic principle of Hough transform is to use the duality of points and lines, the original image space, the curve given expression through the curve of the parameter space into a point. This put the original image in the detection of a given curve is transformed into a peak in the parameter space to find the problem. That is the test for the detection of the overall features into local features. Such as lines, ellipses, circles, arcs, etc.
Platform: |
Size: 148480 |
Author:丁海龙 |
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Description: This program helps to better understand how the Hough transform.
This transform can swap the space of representation. A point in space (X, Y) will become sinusoidal in space (R, Theta) and conversely a point in the plane (R, Theta) will be a line in the plane (X, Y).
What is interesting is that the succession of point forming a line in the plane (X, Y) form of sinusoids to be competing at one point.
This makes it possible to detect transformed the lines in an image. Platform: |
Size: 70656 |
Author:bahour |
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Description: 实现Hough直线检测，标记直线的两端点坐标，再对相似的直线做曲线拟合，可以完美实现边缘连接。-Hough line detection, marking a straight line at both ends of point coordinates, similar linear curve fitting, can be the perfect realization of the edge connector. Platform: |
Size: 37888 |
Author:majun |
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Description: 1.从图像中识别几何形状的基本方法；基本原理是在于利用点与线的对偶性，将原始图像空间给定的曲线通过曲线表达形式变为参数空间的一个点，这样就把原始图像中给定的检测问题转化为寻找参数空间的峰值问题。
2.基于Gabor变换的人眼检测MATLAB实现。
3.基于Radon的车牌矫正方法。
4.基于模型函数headata产生不同大小的头模型数据。
5.基于函数wdcbm2()设置图像分层阈值压缩参数，实现图像压缩(The basic method of identifying geometry from the image; the basic principle is to use point and line duality, the original image space curve given expression through the curve into a parameter space of a point, so the peak detection problem is given in the original image is transformed into searching the parameter space.) Platform: |
Size: 4096 |
Author:LD1
|
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Search - hough point detection