代码搜索：如何学习 hough？
找到约 10,000 项符合「如何学习 hough？」的源代码
代码结果 10,000
www.eeworm.com/read/417715/10979305
m hough_lines.m
function [s,theta,acc]=hough_lines(varargin);
%HOUGH_LINES Hough transform line detection.
% CMP Vision Algorithms http://visionbook.felk.cvut.cz
%
% Find all straight lines in an image using the
www.eeworm.com/read/155037/6967768
m hough1.m
function [x,y,r,count]=hough1(BW1,x0,y0,r0,rr)
% BW1为输入的需检测的圆图象的矩阵,[x0,y0]为估算的定位中心的位置,r0为估算的定位的半径,
%rr是检测范围的外扩值
[m,n]=size(BW1);
%确定搜索范围，搜索的矩形的四个定点为[e3,e1],[e3,e2],[e4,e1],[e4,e2]
e1=floor(x0
www.eeworm.com/read/197486/7990969
m hough_l.m
img1=imread('K:\demo\photo\2123.jpg');
img= RGB2GRAY(img1)
edimg=edge(img);
s=size(img);
nr=s(1);
nth=s(2);
accarray=zeros(nr,nth);
rmax=sqrt(s(1)^2+s(2)^2);
dr=2*rmax/(nr-1);
dth=pi/nth;
www.eeworm.com/read/155035/6281190
m hough_circle.m
function [hough_space,hough_circle,para] = hough_circle(BW,step_r,step_angle,r_min,r_max,p)
%本算法采用最基本的三维空间处理算法，但是限制了一下半径的取值范围
% %%%%%%%%%%%%%%%%%%%%%%%%%%
% input
% BW:二值图像；
% step_r:检测的圆半径步长
www.eeworm.com/read/400027/11585786
m hough_trans.m
function [h,theta,rho]=hough_trans(f,th0,p0)
f=double(f);
[M,N]=size(f);
theta=linspace(-90,0,ceil(90/th0)+1);%产生theta坐标系
theta=[theta -fliplr(theta(2:end-1))];
ntheta=length(theta);
D=sqr
www.eeworm.com/read/400027/11585788
m hough1.m
% Hough 变换
i=imread('d:\test.bmp');
i=rgb2gray(i);
i_long =size(i,1);
i_width=size(i,2);
i_edge=edge(i,'robert');
i_hough=zeros(300,300);
theta_step=3.14*2/299;
theta=0:theta_step:2*3.14;
x
www.eeworm.com/read/213880/15123443
cpp hough_transform.cpp
/*-----------------------------------------------------------------------
File : hough_transform.cpp
Description : Implementation of the Hough transform
Copyright : David Tschumperle
www.eeworm.com/read/213880/15123470
jpg ss_hough.jpg
www.eeworm.com/read/211879/15171842
m hough_l.m
img=imread('canny芯板8灰度.bmp');
edimg=edge(img);
s=size(img);
nr=s(1);
nth=s(2);
accarray=zeros(nr,nth);
rmax=sqrt(s(1)^2+s(2)^2);
dr=2*rmax/(nr-1);
dth=pi/nth;
th=[0:dth:(pi-dth)];
for
www.eeworm.com/read/479878/1329186
txt hough勘换.txt
/*************************************************************************
*
* 函数名称：
* HoughDIB()
*
* 参数:
* LPSTR lpDIBBits - 指向源DIB图像指针
* LONG lWidth - 源图像宽度（象素数，必须是4的倍数