我试图找到消失线的消失点来估计2D图像的深度图。
首先,我使用霍夫变换检测到2D图像的消失线。这是我在Matlab中的代码:
Img =imread('landscape.bmp'); %read the 2D image
%Convert the image to Grayscale
I=rgb2gray(Img);
%Edge Detection
Ie=edge(I,'sobel');
%Hough Transform
[H,theta,rho] = hough(Ie);
% Finding the Hough peaks (number of peaks is set to 5)
P = houghpeaks(H,5,'threshold',ceil(0.2*max(H(:))));
x = theta(P(:,2));
y = rho(P(:,1));
%Vanishing lines
lines = houghlines(I,theta,rho,P,'FillGap',170,'MinLength',350);
[rows, columns] = size(Ie);
figure, imshow(~Ie)
hold on
xy_1 = zeros([2,2]);
for k = 1:length(lines)
xy = [lines(k).point1; lines(k).point2];
% Get the equation of the line
x1 = xy(1,1);
y1 = xy(1,2);
x2 = xy(2,1);
y2 = xy(2,2);
slope = (y2-y1)/(x2-x1);
xLeft = 1; % x is on the left edge
yLeft = slope * (xLeft - x1) + y1;
xRight = columns; % x is on the reight edge.
yRight = slope * (xRight - x1) + y1;
plot([xLeft, xRight], [yLeft, yRight], 'LineWidth',1,'Color','blue');
%intersection of two lines (the current line and the previous one)
slopee = @(line) (line(2,2) - line(1,2))/(line(2,1) - line(1,1));
m1 = slopee(xy_1);
m2 = slopee(xy);
intercept = @(line,m) line(1,2) - m*line(1,1);
b1 = intercept(xy_1,m1);
b2 = intercept(xy,m2);
xintersect = (b2-b1)/(m1-m2);
yintersect = m1*xintersect + b1;
plot(xintersect,yintersect,'m*','markersize',8, 'Color', 'red')
xy_1 = xy;
% Plot original points on the lines .
plot(xy(1,1),xy(1,2),'x','markersize',8,'Color','yellow');
plot(xy(2,1),xy(2,2),'x','markersize',8,'Color','green');
end
现在我需要找到能够估计深度图的消失点。 选择消失点作为其周围交叉点数量最多的交叉点。
我的问题,换句话说,我怎样才能找到Matlab中多行(消失线)的交集?我想一种方法是找到所有线的平方距离总和最小的点,但不确定如何在Matlab中做到这一点?
任何帮助都将不胜感激。
编辑:我试图找到这些线的交点,但我只能找到每条线和它后面的线的交点。我不知道如何找到所有线路的交叉点?
以下是我正在使用的图片示例: https://www.dropbox.com/s/mbdt6v60ug1nymb/landscape.bmp?dl=0
我发布了一个链接,因为我没有足够的声誉来发布图片。
答案 0 :(得分:2)
一种简单的方法:
您应该能够创建一个包含行之间所有交叉点的数组。
伪代码:
for i = 1:length(lines)-1
for j = i+1:length(lines)
//add intersection of lines i and j
如果你有所有的交叉点,你可以简单地取平均值。
或者,采取这里写的方法:
3d可以简化为2d:)