X-Git-Url: https://vcs.maemo.org/git/?a=blobdiff_plain;f=samples%2Foctave%2Fwatershed.m;fp=samples%2Foctave%2Fwatershed.m;h=28fc950400c5eb7178bedb4f3b342f2c925bd4b0;hb=e4c14cdbdf2fe805e79cd96ded236f57e7b89060;hp=0000000000000000000000000000000000000000;hpb=454138ff8a20f6edb9b65a910101403d8b520643;p=opencv

diff --git a/samples/octave/watershed.m b/samples/octave/watershed.m
new file mode 100644
index 0000000..28fc950
--- /dev/null
+++ b/samples/octave/watershed.m
@@ -0,0 +1,133 @@
+#! /usr/bin/env octave
+
+cv;
+highgui;
+
+global g;
+g.marker_mask = [];
+g.markers = [];
+g.img0 = []
+g.img = []
+g.img_gray = [] 
+g.wshed = []
+g.prev_pt = cvPoint(-1,-1);
+
+function on_mouse( event, x, y, flags, param )
+  global g;
+  global cv;
+  global highgui;
+
+  if( !swig_this( g.img) )
+    return;
+  endif
+  if( event == highgui.CV_EVENT_LBUTTONUP || ! bitand(flags,highgui.CV_EVENT_FLAG_LBUTTON) )
+    g.prev_pt = cvPoint(-1,-1);
+  elseif( event == highgui.CV_EVENT_LBUTTONDOWN )
+    g.prev_pt = cvPoint(x,y);
+  elseif( event == highgui.CV_EVENT_MOUSEMOVE && bitand(flags,highgui.CV_EVENT_FLAG_LBUTTON) )
+    pt = cvPoint(x,y);
+    if( g.prev_pt.x < 0 )
+      g.prev_pt = pt;
+    endif
+    cvLine( g.marker_mask, g.prev_pt, pt, cvScalarAll(255), 5, 8, 0 );
+    cvLine( g.img, g.prev_pt, pt, cvScalarAll(255), 5, 8, 0 );
+    g.prev_pt = pt;
+    cvShowImage( "image", g.img );
+  endif
+endfunction
+
+filename = "../c/fruits.jpg";
+if (size(argv, 1)>=1)
+  filename = argv(){1};
+endif
+
+rng = cvRNG(-1);
+g.img0 = cvLoadImage(filename,1);
+if (!swig_this(g.img0))
+  print "Error opening image '%s'" % filename
+  exit(-1)
+endif
+
+printf("Hot keys:\n");
+printf("\tESC - quit the program\n");
+printf("\tr - restore the original image\n");
+printf("\tw - run watershed algorithm\n");
+printf("\t  (before that, roughly outline several g.markers on the image)\n");
+
+cvNamedWindow( "image", 1 );
+cvNamedWindow( "watershed transform", 1 );
+
+g.img = cvCloneImage( g.img0 );
+g.img_gray = cvCloneImage( g.img0 );
+g.wshed = cvCloneImage( g.img0 );
+g.marker_mask = cvCreateImage( cvGetSize(g.img), 8, 1 );
+g.markers = cvCreateImage( cvGetSize(g.img), IPL_DEPTH_32S, 1 );
+
+cvCvtColor( g.img, g.marker_mask, CV_BGR2GRAY );
+cvCvtColor( g.marker_mask, g.img_gray, CV_GRAY2BGR );
+
+cvZero( g.marker_mask );
+cvZero( g.wshed );
+
+cvShowImage( "image", g.img );
+cvShowImage( "watershed transform", g.wshed );
+
+cvSetMouseCallback( "image", @on_mouse, [] );
+while (true)
+  c = cvWaitKey(0);
+  if (c=='\x1b')
+    break;
+  endif
+  if (c == 'r')
+    cvZero( g.marker_mask );
+    cvCopy( g.img0, g.img );
+    cvShowImage( "image", g.img );
+  endif
+  if (c == 'w')
+    storage = cvCreateMemStorage(0);
+    comp_count = 0;
+    ##cvSaveImage( "g.wshed_mask.png", g.marker_mask );
+    ##g.marker_mask = cvLoadImage( "g.wshed_mask.png", 0 );
+    [nb_cont, contours] = cvFindContours( g.marker_mask, storage, \
+				       sizeof_CvContour, \
+				       CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE );
+    cvZero( g.markers );
+    swig_this(contours)
+    while (swig_this(contours))
+      cvDrawContours( g.markers, contours, cvScalarAll(comp_count+1), \
+                     cvScalarAll(comp_count+1), -1, -1, 8, cvPoint(0,0) );
+      contours=contours.h_next;
+      comp_count+=1;
+    endwhile
+    comp_count
+    color_tab = cvCreateMat( comp_count, 1, CV_8UC3 );
+    for i=0:comp_count-1,
+      color_tab(i) = cvScalar( mod(cvRandInt(rng),180) + 50,  \
+                              mod(cvRandInt(rng),180) + 50,  \
+                              mod(cvRandInt(rng),180) + 50 );
+    endfor
+    t = int32(cvGetTickCount());
+    cvWatershed( g.img0, g.markers );
+    t = int32(cvGetTickCount()) - t;
+    ##print "exec time = %f" % t/(cvGetTickFrequency()*1000.)
+
+    cvSet( g.wshed, cvScalarAll(255) );
+
+    ## paint the watershed image
+    for j=0:g.markers.height-1,
+      for i=0:g.markers.width-1,
+	{j,i}
+	idx = g.markers({j,i});
+	if (idx==-1)
+          continue
+	endif
+	idx = idx-1;
+	g.wshed({j,i}) = color_tab({idx,0});
+      endfor
+    endfor
+
+    cvAddWeighted( g.wshed, 0.5, g.img_gray, 0.5, 0, g.wshed );
+    cvShowImage( "watershed transform", g.wshed );
+    cvWaitKey();
+  endif
+endwhile