检查两个不同图像的像素重叠

Question

I have a color picture with red and blue colors. I separated the blue and red color signal sand created black and white images from them as such: first image and second image

Now, I want to see how if the white spots in the second image overlap on top of the squiggly lines in the first image.

My approach is the following:

1. First detect the center coordinate of the white spots in the 2nd image. Avoiding the big white clusters. I only care about the white spots that are in the same vicinity of the squiggly lines in the first image.
2. Then use the following MATLAB code to see if the white spot is on top of the squiggly lines from the first image.

The code is courtesy of @ rayryeng

val = 0; % Value to match
count = 0 
N = 50; % Radius of neighbourhood

% Generate 2D grid of coordinates
[x, y] = meshgrid(1 : size(img, 2), 1 : size(img, 1));

% For each coordinate to check...
for kk = 1 : size(coord, 1)
    a = coord(kk, 1); b = coord(kk, 2); % Get the pixel locations
    mask = (x - a).^2 + (y - b).^2 <= N*N; % Get a mask of valid locations
                                           % within the neighbourhood        
    pix = img(mask); % Get the valid pixels
    count = count + any(pix(:) == val); % Add either 0 or 1 depending if 
                                        % we have found any matching pixels
end

Where I am stuck: I'm having trouble detecting the center point of the white spots in the 2nd image. Especially because I want to avoid the clusters of white spots. I just want to detect the spots that are in the same vicinity of the squiggly lines in the first image.

I am willing to try any language that has good image analysis libraries. How do I go about this?

Answer 1

This seemed to work pretty well:

pos = rp.WeightedCentroid; %all positions
for ct = size(pos,1):-1:1  %check them backwards
d = sum((pos-pos(ct,:)).^2); %distance to all other points (kd-trees could be used for speedup)
if min(d)<50^2,pos(ct,:)=[];end  %remove if any point is too close

end