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m example36_hough.m
%example36_Hough
%==============
%==============
[x,a,bw,r]=delt(I);
r=mat2gray(r);
figure('name','Hough变换','numbertitle','off');
rZoom=imresize(r,[96,96],'bilinear'); %为方便在界面上显示，将图像r放大
su
www.eeworm.com/read/366483/9812030
m hough_parameter_space.m
clear all;close all;
k=1;b=-1;
x=0:3;
y=k*x+b;
figure(1)
plot(x,y);
hold on
plot(x,y,'b*');
axis([0 3 0 2]);
title('直角坐标系')
xlabel('X坐标');
ylabel('Y坐标');
text(1,0,'点A(1,0)');
text(2,1,'点B
www.eeworm.com/read/366483/9812033
m hough_line_own.m
%addpath D:\MATLAB704\toolbox\tftb2002
% Hough 变换detect line
%% %%%%%%也可以用tftb中的函数 htl %%%%%%%5
% i=imread('C:\Documents and Settings\zhwei\桌面\line.bmp');
% figure(1)
% i_long =size(i,1);
%
www.eeworm.com/read/425373/10359918
pdf the adaptive hough transform.pdf
www.eeworm.com/read/272846/10941565
m hough_hw11.m
I = imread('coins.tif');
I=rgb2gray(I);
% figure(1)
% imshow(I)
% output binary edge image by canny filter
im = double(I);
BW= edge(im,'canny',[40/255 145/255],2);
% BW= edge(im,'canny',[0.2
www.eeworm.com/read/417715/10979291
m hough_lines_test.m
% HOUGH_LINES_TEST
% Test file verifiing the function of hough_lines.m
% History
% $Id: $
%
% 2006-06 Petr Nemecek create
ImageDir='images/';%directory containing the images
file2='figures2.jpg';