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134 lines
3.6 KiB
Matlab
134 lines
3.6 KiB
Matlab
#! /usr/bin/env octave
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cv;
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highgui;
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global g;
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g.marker_mask = [];
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g.markers = [];
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g.img0 = []
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g.img = []
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g.img_gray = []
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g.wshed = []
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g.prev_pt = cvPoint(-1,-1);
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function on_mouse( event, x, y, flags, param )
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global g;
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global cv;
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global highgui;
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if( !swig_this( g.img) )
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return;
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endif
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if( event == highgui.CV_EVENT_LBUTTONUP || ! bitand(flags,highgui.CV_EVENT_FLAG_LBUTTON) )
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g.prev_pt = cvPoint(-1,-1);
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elseif( event == highgui.CV_EVENT_LBUTTONDOWN )
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g.prev_pt = cvPoint(x,y);
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elseif( event == highgui.CV_EVENT_MOUSEMOVE && bitand(flags,highgui.CV_EVENT_FLAG_LBUTTON) )
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pt = cvPoint(x,y);
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if( g.prev_pt.x < 0 )
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g.prev_pt = pt;
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endif
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cvLine( g.marker_mask, g.prev_pt, pt, cvScalarAll(255), 5, 8, 0 );
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cvLine( g.img, g.prev_pt, pt, cvScalarAll(255), 5, 8, 0 );
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g.prev_pt = pt;
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cvShowImage( "image", g.img );
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endif
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endfunction
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filename = "../c/fruits.jpg";
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if (size(argv, 1)>=1)
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filename = argv(){1};
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endif
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rng = cvRNG(-1);
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g.img0 = cvLoadImage(filename,1);
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if (!swig_this(g.img0))
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print "Error opening image '%s'" % filename
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exit(-1)
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endif
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printf("Hot keys:\n");
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printf("\tESC - quit the program\n");
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printf("\tr - restore the original image\n");
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printf("\tw - run watershed algorithm\n");
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printf("\t (before that, roughly outline several g.markers on the image)\n");
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cvNamedWindow( "image", 1 );
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cvNamedWindow( "watershed transform", 1 );
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g.img = cvCloneImage( g.img0 );
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g.img_gray = cvCloneImage( g.img0 );
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g.wshed = cvCloneImage( g.img0 );
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g.marker_mask = cvCreateImage( cvGetSize(g.img), 8, 1 );
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g.markers = cvCreateImage( cvGetSize(g.img), IPL_DEPTH_32S, 1 );
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cvCvtColor( g.img, g.marker_mask, CV_BGR2GRAY );
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cvCvtColor( g.marker_mask, g.img_gray, CV_GRAY2BGR );
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cvZero( g.marker_mask );
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cvZero( g.wshed );
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cvShowImage( "image", g.img );
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cvShowImage( "watershed transform", g.wshed );
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cvSetMouseCallback( "image", @on_mouse, [] );
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while (true)
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c = cvWaitKey(0);
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if (c=='\x1b')
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break;
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endif
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if (c == 'r')
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cvZero( g.marker_mask );
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cvCopy( g.img0, g.img );
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cvShowImage( "image", g.img );
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endif
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if (c == 'w')
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storage = cvCreateMemStorage(0);
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comp_count = 0;
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##cvSaveImage( "g.wshed_mask.png", g.marker_mask );
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##g.marker_mask = cvLoadImage( "g.wshed_mask.png", 0 );
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[nb_cont, contours] = cvFindContours( g.marker_mask, storage, \
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sizeof_CvContour, \
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CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE );
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cvZero( g.markers );
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swig_this(contours)
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while (swig_this(contours))
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cvDrawContours( g.markers, contours, cvScalarAll(comp_count+1), \
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cvScalarAll(comp_count+1), -1, -1, 8, cvPoint(0,0) );
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contours=contours.h_next;
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comp_count+=1;
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endwhile
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comp_count
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color_tab = cvCreateMat( comp_count, 1, CV_8UC3 );
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for i=0:comp_count-1,
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color_tab(i) = cvScalar( mod(cvRandInt(rng),180) + 50, \
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mod(cvRandInt(rng),180) + 50, \
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mod(cvRandInt(rng),180) + 50 );
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endfor
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t = int32(cvGetTickCount());
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cvWatershed( g.img0, g.markers );
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t = int32(cvGetTickCount()) - t;
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##print "exec time = %f" % t/(cvGetTickFrequency()*1000.)
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cvSet( g.wshed, cvScalarAll(255) );
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## paint the watershed image
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for j=0:g.markers.height-1,
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for i=0:g.markers.width-1,
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{j,i}
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idx = g.markers({j,i});
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if (idx==-1)
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continue
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endif
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idx = idx-1;
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g.wshed({j,i}) = color_tab({idx,0});
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endfor
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endfor
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cvAddWeighted( g.wshed, 0.5, g.img_gray, 0.5, 0, g.wshed );
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cvShowImage( "watershed transform", g.wshed );
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cvWaitKey();
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endif
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endwhile
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