MatLabscript lijndetectie

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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