MatLabscript lijndetectie: Difference between revisions

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     videoPlayer.step(frame)
     videoPlayer.step(frame)
<br>
<br>
%%Threshold     
%%Threshold    <br>
% Filters the image, above a certain threshold will become 1 (white), below
% Filters the image, above a certain threshold will become 1 (white), below<br>
% the threshold will become 0 (black).
% the threshold will become 0 (black).<br>
     bin_img=im2bw(frame, 0.3);  %Creating a binary image [original, value]
     bin_img=im2bw(frame, 0.3);  %Creating a binary image [original, value]
     bin_img=imopen(bin_img,strel('square',3));    % image opening
     bin_img=imopen(bin_img,strel('square',3));    % image opening
Line 30: Line 30:
     step(outputPlayer,bin_img)
     step(outputPlayer,bin_img)
     <br>
     <br>
%%Skeleton function (was not used, but could be useful)
%%Skeleton function (was not used, but could be useful)<br>
% Filters the image, creates an medial axis (hartlijn) at every point of
% Filters the image, creates an medial axis (hartlijn) at every point of<br>
% the blob. The middle pixels of the thick lines remain white.
% the blob. The middle pixels of the thick lines remain white.<br>
     skel_img=bwmorph(bin_img,'skel',15);
     skel_img=bwmorph(bin_img,'skel',15);
     hor_skel_img=imopen(skel_img,strel('line',5,0));        %Filtering out horizontal lines [minlength,angle]
     hor_skel_img=imopen(skel_img,strel('line',5,0));        %Filtering out horizontal lines [minlength,angle]
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     <br>
     <br>
     nr=nr+1;
     nr=nr+1;
end
end<br>
videoPlayer.hide(); outputPlayer.hide(); outputPlayer2.hide();
videoPlayer.hide(); outputPlayer.hide(); outputPlayer2.hide();<br>
close all;
close all;
</code>
</code>

Revision as of 11:58, 14 January 2016

clear all
close all
clc

%%Loading in the video
videoPlayer = vision.VideoPlayer('Name','Original Image','Position', [100, 200, 400, 400]);
outputPlayer = vision.VideoPlayer('Name','Threshold','Position',[600,200, 400, 400]);
outputPlayer2 = vision.VideoPlayer('Name','Skeleton','Position',[1100,200, 400, 400]);
release(outputPlayer); release(videoPlayer);
nr=0; videoReader = vision.VideoFileReader('topcamvideo.avi'); % outputPlayer = vision.outputPlayer

while isOpen(videoPlayer) || nr==0

   frame = step(videoReader);
   frame = rgb2gray(frame);    %Converting to black and white (single matrix)
   step(videoPlayer,frame)
   videoPlayer.step(frame)


%%Threshold
% Filters the image, above a certain threshold will become 1 (white), below
% the threshold will become 0 (black).

   bin_img=im2bw(frame, 0.3);  %Creating a binary image [original, value]
   bin_img=imopen(bin_img,strel('square',3));    % image opening
   bin_img=imclose(bin_img,strel('square',5));     % image closing
   outputPlayer.step(bin_img)
   step(outputPlayer,bin_img)
   

%%Skeleton function (was not used, but could be useful)
% Filters the image, creates an medial axis (hartlijn) at every point of
% the blob. The middle pixels of the thick lines remain white.

   skel_img=bwmorph(bin_img,'skel',15);
   hor_skel_img=imopen(skel_img,strel('line',5,0));        %Filtering out horizontal lines [minlength,angle]
   hor_skel_img=imclose(hor_skel_img,strel('disk',5));   
   ver_skel_img=imopen(skel_img,strel('line',5,90));       %Filtering out vertical lines [minlength,angle]
   ver_skel_img=imclose(ver_skel_img,strel('disk',5));
   skel_img=hor_skel_img+ver_skel_img;                     %Adding horizontal + vertical

% skel_img=imdilate(skel_img,strel('disk',9)); % skel_img=imerode(skel_img,strel('disk',5));

     
outputPlayer2.step(skel_img) step(outputPlayer2,skel_img)
nr=nr+1;

end
videoPlayer.hide(); outputPlayer.hide(); outputPlayer2.hide();
close all;