Open Source Computer Vision Library https://opencv.org/
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#! /usr/bin/env octave
printf("OpenCV Octave version of edge\n");
global g;
## import the necessary things for OpenCV
cv;
highgui;
## some definitions
g.win_name = "Edge";
g.trackbar_name = "Threshold";
## the callback on the trackbar
function on_trackbar (position)
global g;
global cv;
global highgui;
cv.cvSmooth (g.gray, g.edge, cv.CV_BLUR, 3, 3, 0);
cv.cvNot (g.gray, g.edge);
## run the edge dector on gray scale
cv.cvCanny (g.gray, g.edge, position, position * 3, 3);
## reset
cv.cvSetZero (g.col_edge);
## copy edge points
cv.cvCopy (g.image, g.col_edge, g.edge);
## show the image
highgui.cvShowImage (g.win_name, g.col_edge);
endfunction
filename = "../c/fruits.jpg";
if (size(argv, 1)>1)
filename = argv(){1};
endif
## load the image gived on the command line
g.image = highgui.cvLoadImage (filename);
if (!swig_this(g.image))
printf("Error loading image '%s'",filename);
exit(-1);
endif
## create the output image
g.col_edge = cv.cvCreateImage (cv.cvSize (g.image.width, g.image.height), 8, 3);
## convert to grayscale
g.gray = cv.cvCreateImage (cv.cvSize (g.image.width, g.image.height), 8, 1);
g.edge = cv.cvCreateImage (cv.cvSize (g.image.width, g.image.height), 8, 1);
cv.cvCvtColor (g.image, g.gray, cv.CV_BGR2GRAY);
## create the window
highgui.cvNamedWindow (g.win_name, highgui.CV_WINDOW_AUTOSIZE);
## create the trackbar
highgui.cvCreateTrackbar (g.trackbar_name, g.win_name, 1, 100, @on_trackbar);
## show the image
on_trackbar (0);
## wait a key pressed to end
highgui.cvWaitKey (0);