MATLAB图像处理_Hough霍夫曼直线检测_源程序代码_霍夫曼算法_图像检测_matlab

clear;clc;close all I1=imread('图片\1.bmp'); I=rgb2gray(I1); index=find(I<50); I(index)=0; BW=im2bw(I); [H,T,R]=hough(BW); imshow(H,[],'XData',T,'YData',R,'InitialMagnification','fit'); xlabel('\theta'), ylabel('\rho'); axis on axis normal hold on P=houghpeaks(H,5); x=T(P(:,2)); y=R(P(:,1)); plot(x,y,'s','color','white'); lines=houghlines(BW,T,R,P); figure imshow(I1) hold on k=[]; b=[]; for n=1:length(lines) xy=[lines(n).point1; lines(n).point2]; k(n)=(xy(1,2)-xy(2,2))/(xy(1,1)-xy(2,1)+1e-8); b(n)=xy(1,2)-k(n)*xy(1,1); end k1=[]; k2=[]; b1=[]; b2=[]; alpha=rad2deg(atan(k)); distance=abs(alpha-alpha(1)); index=find(distance>120); distance(index)=180-distance(index); index1=find(distance<45); index2=find(distance>=45); k1=k(index1); k2=k(index2); b1=b(index1); b2=b(index2); for n=index1 xy=[lines(n).point1; lines(n).point2]; plot(xy(:,1),xy(:,2),':g','LineWidth',1.5); end for n=index2 xy=[lines(n).point1; lines(n).point2]; plot(xy(:,1),xy(:,2),':r','LineWidth',1.5); end x0=[]; y0=[]; count=1; for i=1:length(k1) for j=1:length(k2) x0(count)=(b1(i)-b2(j))/(k2(j)-k1(i)); y0(count)=k1(i)*x0(count)+b1(i); count=count+1; end end plot(mean(x0),mean(y0),'o','LineWidth',2.5) msgbox('MATLAB编程答疑，请加QQ: 1530497909','MATLAB答疑','help') web http://url.cn/NSFcAs -browser