MatLabscript lijndetectie

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Revision as of 21:02, 14 January 2016 by S136448 (talk | contribs)
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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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