建筑物的线检测

Question

我是图像处理的新手，我试图检测垂直和水平线，以便检测窗户，门和屋顶。

这是用于使用霍夫变换检测线的代码：

I  = imread('building.png');
rotI = imrotate(I,33,'crop');
fig1 = imshow(rotI);
BW = edge(rotI,'canny');
figure, imshow(BW);
[H,theta,rho] = hough(BW);
figure, imshow(imadjust(mat2gray(H)),[],'XData',theta,'YData',rho,...
    'InitialMagnification','fit');
xlabel('\theta (degrees)'), ylabel('\rho');
axis on, axis normal, hold on;
colormap(hot)
P = houghpeaks(H,5,'threshold',ceil(0.3*max(H(:))));
x = theta(P(:,2));
y = rho(P(:,1));
plot(x,y,'s','color','black');
lines = houghlines(BW,theta,rho,P,'FillGap',5,'MinLength',7);
figure, imshow(rotI), hold on
max_len = 0;
for k = 1:length(lines)
xy = [lines(k).point1; lines(k).point2];
plot(xy(:,1),xy(:,2),'LineWidth',2,'Color','green');
% Plot beginnings and ends of lines
plot(xy(1,1),xy(1,2),'x','LineWidth',2,'Color','yellow');
plot(xy(2,1),xy(2,2),'x','LineWidth',2,'Color','red');
% Determine the endpoints of the longest line segment
len = norm(lines(k).point1 - lines(k).point2);
if ( len > max_len)
  max_len = len;
  xy_long = xy;
end
end
% highlight the longest line segment
plot(xy_long(:,1),xy_long(:,2),'LineWidth',2,'Color','red');

这是图像： https://scantherm.co.uk/wp-content/uploads/2017/09/New-house-1024x768.png）

我的问题是如何准确检测门，窗和屋顶。门和窗户通常是水平和垂直的，但是屋顶的检测比较困难。如何做到这一点？