MatLabscript lijndetectie: Difference between revisions

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Line 33: Line 33:
  % Filters the image, creates an medial axis (hartlijn) at every point of<br>
  % Filters the image, creates an medial axis (hartlijn) at every point of<br>
  % the blob. The middle pixels of the thick lines remain white.<br>
  % 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); <br>
     hor_skel_img=imopen(skel_img,strel('line',5,0));        %Filtering out horizontal lines [minlength,angle]<br>
     hor_skel_img=imopen(skel_img,strel('line',5,0));        %Filtering out horizontal lines [minlength,angle]<br>
     hor_skel_img=imclose(hor_skel_img,strel('disk',5));  <br>
     hor_skel_img=imclose(hor_skel_img,strel('disk',5));  <br>
Line 42: Line 42:
  %    skel_img=imerode(skel_img,strel('disk',5));<br>
  %    skel_img=imerode(skel_img,strel('disk',5));<br>
       <br>
       <br>
     outputPlayer2.step(skel_img)
     outputPlayer2.step(skel_img) <br>
     step(outputPlayer2,skel_img)
     step(outputPlayer2,skel_img) <br>
     <br>
     <br>
     nr=nr+1;
     nr=nr+1; <br>
  end<br>
  end<br>
  videoPlayer.hide(); outputPlayer.hide(); outputPlayer2.hide();<br>
  videoPlayer.hide(); outputPlayer.hide(); outputPlayer2.hide();<br>
  close all;
  close all; <br>
  </code>
  </code>



Revision as of 21:04, 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;

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