基于matlab的霍夫变换的应用，传统的霍夫变换可以检测图像中的直线，但是生活中一般都会出现遮挡物，导致一条直线发生中断，于是在传统霍夫变换的基础上做了修改，进而保证了检测直线的整体性。

matlab 代码实现如下:

% 入口图像为 BW，出口图像为f

%optimize from main_optimize, merely select 2 lines, one has positive

%slope,the other has negative slope

clear all,close all

BW=imread('p.jpg');

figure,imshow(BW);

BW=rgb2gray(BW);

%thresh=[0.01,0.17];

thresh=[0.01,0.10];

sigma=2;%定义高斯参数

f = edge(double(BW),'canny',thresh,sigma);

figure,subplot(121);

imshow(f,[]);

title('canny Edge Detect Result');

[H, theta, rho]= hough(f);

peaks=houghpeaks(H,10);

hold on

lines=houghlines(f,theta,rho,peaks);

subplot(122);

imshow(f,[]),title('Hough Transform Detect Result'),hold on

nlind=0;%new line index

st=1;

%%%%%%%%%求斜率%%%%%%%%%%%%

for k=1:length(lines)

%xy=[lines(k).point1;lines(k).point2];

xielv(k)=(lines(k).point2(1)-lines(k).point1(1))/(lines(k).point2(2)-lines(k).point1(2)+0.0001)

end

%%%%%%%%%将相同斜率的直线连起来%%%%%%%%%%%%

k=1;

while(k<=length(lines))

if(k~=length(lines))

k=k+1;

end

while(abs(xielv(k)-xielv(k-1))<0.0001)

k=k+1;

if(k>length(lines))

break;

end

end

if(abs(xielv(k-1))<0.05||abs(xielv(k-1))>=10)%eliminate horizontal and vertical lines

st=k;

if(k~=length(lines))

continue;

end

end

if(st==length(lines)&&k==st)

if(abs(xielv(k))>0.05&&abs(xielv(k))<10)

nlind=nlind+1;

newlines(nlind)=lines(st);

newlines(nlind).point2=lines(k).point2;

newxy=[newlines(nlind).point1;newlines(nlind).point2];

plot(newxy(:,2),newxy(:,1),'LineWidth',4,'Color',[.6 1.0 .8]);

end

break;

end

%end=k-1,start=st;

draw line

nlind=nlind+1;

newlines(nlind)=lines(st);

newlines(nlind).point2=lines(k-1).point2;

newxy=[newlines(nlind).point1;newlines(nlind).point2];

plot(newxy(:,2),newxy(:,1),'LineWidth',4,'Color',[.6 1.0 .8]);

st=k;

end

fprintf('%d lines are detected in sum.\n',nlind);