如何找到图像中两个对象之间的相对位置？

Question

我想找到圆圈（图像中的红色圆圈）和门（或门上的门箭头）之间的相对位置。我能够检测到窗口（图像上的红色圆圈），现在想知道圆圈和门之间的相对位置（门箭头）以及圆圈和门之间的最小距离（门箭头）。垂直门箭头的最小距离和水平门箭头的最小距离。

我发布了代码以找到窗口（红色圆圈）和两个图像（原始图像和查找窗口的结果图像）。能给我相对位置和距离的任何代码或函数吗？

这里是从这个帖子中找到Amitay Nachmani的窗口（MatLab）的代码

  

How do I find an object in image/video knowing its real physical dimension?

clear all

% Parameters
minValueWindow = 90;
maxValueWindow = 110;

% Read file
I = imread('image1.jpg');
Igray = rgb2gray(I);
[row,col] = size(Igray);

% Edge detection
Iedge = edge(Igray,'canny',[0 0.3]);

% Hough circle transform
rad = 40:80; % The approximate radius in pixels
detectedCircle = {};
detectedCircleIndex = 1;
for radIndex=1:1:length(rad)
    [y0detect,x0detect,Accumulator] = houghcircle(Iedge,rad(1,radIndex),rad(1,radIndex)*pi/2);

    if ~isempty(y0detect)
        circles = struct;
        circles.X = x0detect;
        circles.Y = y0detect;
        circles.Rad = rad(1,radIndex);
        detectedCircle{detectedCircleIndex} = circles;
        detectedCircleIndex = detectedCircleIndex + 1;
    end
end

% For each detection run a color filter
ang=0:0.01:2*pi; 
finalCircles = {};
finalCircleIndex = 1;

for i=1:1:detectedCircleIndex-1

    rad = detectedCircle{i}.Rad;
    xp = rad*cos(ang);
    yp = rad*sin(ang);

    for detectedPointIndex=1:1:length(detectedCircle{i}.X)

        % Take each detected center and sample the gray image
        samplePointsX = round(detectedCircle{i}.X(detectedPointIndex) + xp);
        samplePointsY = round(detectedCircle{i}.Y(detectedPointIndex) + yp);

        sampleValueInd = sub2ind([row,col],samplePointsY,samplePointsX);
        sampleValueMean = mean(Igray(sampleValueInd));

        % Check if the circle color is good
        if(sampleValueMean > minValueWindow && sampleValueMean < maxValueWindow)
            circle = struct();
            circle.X = detectedCircle{i}.X(detectedPointIndex);
            circle.Y = detectedCircle{i}.Y(detectedPointIndex);
            circle.Rad = rad;
            finalCircles{finalCircleIndex} = circle;
            finalCircleIndex = finalCircleIndex + 1;
        end
    end
end

% Find Main circle by merging close hyptosis together
for finaCircleInd=1:1:length(finalCircles)
    circleCenter(finaCircleInd,1) = finalCircles{finaCircleInd}.X;
    circleCenter(finaCircleInd,2) = finalCircles{finaCircleInd}.Y;
    circleCenter(finaCircleInd,3) = finalCircles{finaCircleInd}.Rad;
end
[ind,C] = kmeans(circleCenter,2);
c = [length(find(ind==1));length(find(ind==2))];
[~,maxInd] = max(c);
xCircle = median(circleCenter(ind==maxInd,1));
yCircle = median(circleCenter(ind==maxInd,2));
radCircle = median(circleCenter(ind==maxInd,3));
% Plot circle
imshow(Igray);
hold on

ang=0:0.01:2*pi;
xp=radCircle*cos(ang);
yp=radCircle*sin(ang);
plot(xCircle+xp,yCircle+yp,'Color','red', 'LineWidth',5);

两张图片