画像処理をGPUでお​こないたいのですが、​関数がサポートされて​いないので同じ処理が​できるよう代用したい​です。im2bw,b​wareaopen

https://www.mathworks.com/matlabcentral/fileexchange/28757-tracking-red-color-objects-using-matlab　にある

redObjektTrack.m 赤色追跡のプログラムをGPUで動かしたいのですが、gpuArray(image)で画像をGPUに取り込んだ後　im2bwで輝度のしきいを設け、バイナリーイメージに変換する関数と、bwareaopenでｎピクセル未満を削除する関数が使えず、GPUで実行できません。

同じように動く関数の代用や他に良い方法があれば、教えていただきたいです。よろしくお願いします。

a = imaqhwinfo;
[camera_name, camera_id, format] = getCameraInfo(a);
% Capture the video frames using the videoinput function
% You have to replace the resolution & your installed adaptor name.
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)
% 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');
    
    % 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
    
    hold off
end
% Both the loops end here.
% Stop the video aquisition.
stop(vid);
% Flush all the image data stored in the memory buffer.
flushdata(vid);
    % Clear all variables

[Walter Roberson]

Which function cannot be executed on the GPU ?

[james,k]

Thank you for your comment.

This is what cannot be done

    % 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);

Probably im2bw　＆　bwareaopen　 are functions not supported by MATLAB.

[Walter Roberson]

    diff_im = im2bw(diff_im,0.18);

can be replaced by

    diff_im = diff_im >= uint8(0.18*255);
    

Instead of using bwareaopen(), do the regionprops() and ask for Area as well, and in your loop, ignore the blobs with Area less than 300.