代码搜索：hough 开发教程
找到约 10,000 项符合「hough 开发教程」的源代码
代码结果 10,000
www.eeworm.com/read/203482/15357907
m xyhough.m
%XYHOUGH XY Hough transform
%
% [H TH D] = XYHOUGH(XYZ, drange, Nth)
%
% Compute the Hough transform of the XY data given as the first two
% columns of XYZ. The last column, if given, is the point s
www.eeworm.com/read/203482/15357909
m ihough.m
%IHOUGH Hough transform
%
% [H TH D] = IHOUGH(IM)
% [H TH D] = IHOUGH(IM, Nd)
% [H TH D] = IHOUGH(IM, Nd, Nth)
%
% Compute the Hough transform of the image IM data. Only non-zero pixels
% increment t
www.eeworm.com/read/202824/15371994
m xyhough.m
%XYHOUGH XY Hough transform
%
% [H TH D] = XYHOUGH(XYZ, drange, Nth)
%
% Compute the Hough transform of the XY data given as the first two
% columns of XYZ. The last column, if given, is the point s
www.eeworm.com/read/202824/15371996
m ihough.m
%IHOUGH Hough transform
%
% [H TH D] = IHOUGH(IM)
% [H TH D] = IHOUGH(IM, Nd)
% [H TH D] = IHOUGH(IM, Nd, Nth)
%
% Compute the Hough transform of the image IM data. Only non-zero pixels
% increment t
www.eeworm.com/read/428810/8839686
txt matlab hough变换对圆的检测.txt
<mark>Hough</mark>变换对圆的检测2008年05月11日 星期日 12:57<mark>Hough</mark>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。
圆的方程为：(x-a)*(x-a)+(y-b)*(y-b)=r*r ，通过<mark>Hough</mark>变换，将图像空间(x,y)对应到(a,b,r)参数空间 。
<mark>Hough</mark>对圆的检测程序如下：
f ...
www.eeworm.com/read/4317/30525
mht 开发板 开发工具.mht
www.eeworm.com/read/359212/10161053
m ihough_xy.m
%IYHOUGH_XY XY Hough transform
%
% H = IHOUGH_XY(XYZ, drange, Nth)
%
% Compute the Hough transform of the XY data given as the first two
% columns of XYZ. The last column, if given, is the point str
www.eeworm.com/read/245740/12782790
m houghlines.m
function lines = houghlines(f,theta,rho,rr,cc,fillgap,minlength)
%HOUGHLINES Extract line segments based on the Hough transform.
% LINES = HOUGHLINES(F,THETA,RHO,RR,CC,FILLGAP,MINLENGTH) extract
www.eeworm.com/read/409475/11321736
m houghlines.m
function lines = houghlines(varargin)
%HOUGHLINES Extract line segments based on Hough transform.
% LINES = HOUGHLINES(BW, THETA, RHO, PEAKS) extracts line segments
% in the image BW associated