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Description: ％radon transform
clear all
％
N=800
n=1:N
fs=200
t=n/fs
x1=exp(j*2*pi*(5*t+0.5*5*t.^2))
x2=exp(j*2*pi*(5*t+0.5*15*t.^2))
x=x1+x2
％N=length(x)
％ ambifunb(x )
％*****************************************RAT
naf=ambifunb(x)
htl(abs(naf))
％ [wh,rho,theta]=htl(abs(naf))
colormap([0,0,0])
％ xlabel( 极半径 )
％ ylabel( 角度 )
％**************************************％找出峰值点的坐标,计算初始频率和调频斜率(正确)
％找出峰值点的坐标
b=max(max(wh))
[u,a]=find(wh>=0.8*b)
- Radon transformclear all N = 800 n = 1: N fs = 200 t = n/fs x1 = exp (j* 2* pi* (5* t+ 0.5* 5* t. ^ 2)) x2 = exp ( j* 2* pi* (5* t+ 0.5* 15* t. ^ 2)) x = x1+ x2 N = length (x) ambifunb (x)***************************************** RATnaf = ambifunb (x) htl (abs (naf)) [wh, rho, theta ] = htl (abs (naf)) colormap ([0,0,0]) xlabel (polar radius) ylabel (angle)************************************** to find the coordinates of the peak point, calculating the initial slope of the frequency and FM (right) find the peak point of the coordinates b = max (max ( wh)) [u, a] = find (wh
Platform: |
Size: 1024 |
Author: abcde |
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Description: 自己编写的调试通过的radon变换＋wigner变换求得峰值点坐标
-I have written through the debug of the radon transform wigner transform coordinates to achieve the peak point
Platform: |
Size: 1024 |
Author: abcde |
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Description: A simple code to find all the peaks in the radon space which are higher then the threshold given by the user , this code return the polaire coordinates (rho, theta) of every peak
Platform: |
Size: 2048 |
Author: sawssenj |
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Description: 基于把Radon变换后最大峰值点对应的角度作为车牌长边的倾斜角原理的车牌倾斜校正算法-Based on the angle corresponding to the maximum peak point Radon transform as the tilt angle principle of the long side of the license plate tilt correction algorithm
Platform: |
Size: 1024 |
Author: 宋善峰 |
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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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