霍夫变换实现直线检测——MATLAB
网上好多不能用，就重新写了一个：
- % 入口图像为 BW，出口图像为f
- clc,close
- BW=imread('D:\picture\9dafa605d53eea243812bb29.jpg');
- BW=rgb2gray(BW);
- thresh=[0.01,0.17];
- sigma=2;%定义高斯参数
- f = edge(double(BW),'canny',thresh,sigma);
- figure(1),imshow(f,[]);title('canny 边缘检测');
- [H, theta, rho]= hough(f, 0.5);
- %imshow(theta,rho,H,[],'notruesize'),
- axis on,
- axis normal
- %xlabel('\theta'),ylabel('rho');
- [r,c]=houghpeaks(H,5);
- hold on
- lines=houghlines(f,theta,rho,r,c);
- figure,imshow(f,[]),title('Hough Transform Detect Result'),
- hold on
- for k=1:length(lines)
- xy=[lines(k).point1;lines(k).point2];
- plot(xy(:,1),xy(:,2),'LineWidth',4,'Color',[.6 .6 .6]);
- end
Matlab2012版本的内核函数有所改变，houghpeaks, houghlines等函数有所改变，感谢cuicd2011的提醒，R2012a版本的直线检测稍有变化：
- clc,close
- BW=imread('D:\picture\9dafa605d53eea243812bb29.jpg');
-
- BW=rgb2gray(BW);
- thresh=[0.01,0.17];
- sigma=2;%定义高斯参数
- f = edge(double(BW),'canny',thresh,sigma);
- figure(1),imshow(f,[]);
- title('canny 边缘检测');
-
- [H, theta, rho]= hough(f,'RhoResolution', 0.5);
- %imshow(theta,rho,H,[],'notruesize'),axis on,axis normal
- %xlabel('\theta'),ylabel('rho');
-
- peak=houghpeaks(H,5);
- hold on
-
- lines=houghlines(f,theta,rho,peak);
- figure,imshow(f,[]),title('Hough Transform Detect Result'),hold on
- for k=1:length(lines)
- xy=[lines(k).point1;lines(k).point2];
- plot(xy(:,1),xy(:,2),'LineWidth',4,'Color',[.6 .6 .6]);
- end
实验结果：
本站仅提供存储服务，所有内容均由用户发布，如发现有害或侵权内容，请
点击举报。
