代码搜索：hough 开发教程
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www.eeworm.com/read/134898/5891662
dsw hough.dsw
Microsoft Developer Studio Workspace File, Format Version 6.00
# WARNING: DO NOT EDIT OR DELETE THIS WORKSPACE FILE!
###############################################################################
www.eeworm.com/read/134898/5891663
plg hough.plg
Build Log
--------------------Configuration: hough - Win32 Debug--------------------
Command Lines
Creating temporary file "C:\DOCUME~1\L93751\
www.eeworm.com/read/492695/6419617
m hough.m
%tic
function res=hough(im,RHO_MAX,THETA_MAX)
[X,Y]=size(im);
d_rho=X/RHO_MAX;
d_theta=pi/THETA_MAX;
theta=-pi/4:d_theta:pi-pi/4-d_theta;
smat=sin(theta);
cmat=cos(theta);
[x,y]=
www.eeworm.com/read/479821/6680777
txt hough原理.txt
<mark>Hough</mark>变换原理
[ 2008-7-18 18:15:00 | By: 张涛 ]
<mark>Hough</mark>变换原理一、简单介绍
<mark>Hough</mark>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。<mark>Hough</mark>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 ...
www.eeworm.com/read/400027/11585784
p hough.p
www.eeworm.com/read/400027/11585787
m hough.m
% Hough 变换
clear;
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.
www.eeworm.com/read/158278/11628811
jpg hough变换.jpg
www.eeworm.com/read/158278/11628824
m hough.m
% Hough 变换
i=imread('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_ma
www.eeworm.com/read/261221/11657848
m hough.m
function [h] = Hough(image)
%Function to perform Hough Transform on an image
%Inputs: image
%Returns: h
%
%image: It is the input image.
%h: It is the accumulator array
%
%Example:
%
www.eeworm.com/read/261221/11657855
m hough(old).m
function h = hough(f)
%Function to perform Hough Transform on an image
%Inputs: f
%Returns: h
%
%f: It is the input image.
%h: It is the accumulator array
%
%Example:
% h = Hough(image