vid = videoinput(camera_name, camera_id, format);% Set the properties of the video object
set(vid, 'FramesPerTrigger', Inf);set(vid, 'ReturnedColorspace', 'rgb')vid.FrameGrabInterval = 5;%start the video aquisition here
start(vid) %a=arduino('COM6');
% Set a loop that stop after 100 frames of aquisition
while(vid.FramesAcquired<=200) % Get the snapshot of the current frame
data = getsnapshot(vid); % Now to track red objects in real time
% we have to subtract the red component
% from the grayscale image to extract the red components in the image.
diff_im = imsubtract(data(:,:,1), rgb2gray(data)); %Use a median filter to filter out noise
diff_im = medfilt2(diff_im, [3 3]); % Convert the resulting grayscale image into a binary image.
diff_im = im2bw(diff_im,0.18); % Remove all those pixels less than 300px
diff_im = bwareaopen(diff_im,300); % Label all the connected components in the image.
bw = bwlabel(diff_im, 8); % Here we do the image blob analysis.
% We get a set of properties for each labeled region.
stats = regionprops(bw, 'BoundingBox', 'Centroid'); AllCentroids = vertcat(stats.Centroid) % Display the image
imshow(data) hold on %This is a loop to bound the red objects in a rectangular box.
for object = 1:length(stats) bb = stats(object).BoundingBox; bc = stats(object).Centroid; rectangle('Position',bb,'EdgeColor','r','LineWidth',2) plot(bc(1),bc(2), '-m+'); a=text(bc(1)+15,bc(2), strcat('X: ', num2str(round(bc(1))), ' Y: ', num2str(round(bc(2))))); set(a, 'FontName', 'Arial', 'FontWeight', 'bold', 'FontSize', 12, 'Color', 'yellow'); end
above is the code which i have used to detect and track the specific colour object. now i want the centroid coordinates separately in a variable so that i can pass that data to arduino board to drive my toy car through specific colour using iamge processing tech ique.
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