--- /dev/null
+#!/usr/bin/python
+from opencv.cv import *
+from opencv.highgui import *
+import sys
+
+marker_mask = None;
+markers = None;
+img0 = None
+img = None
+img_gray = None
+wshed = None
+prev_pt = cvPoint(-1,-1)
+
+def on_mouse( event, x, y, flags, param ):
+ global prev_pt
+ if( not img ):
+ return;
+ if( event == CV_EVENT_LBUTTONUP or not (flags & CV_EVENT_FLAG_LBUTTON) ):
+ prev_pt = cvPoint(-1,-1);
+ elif( event == CV_EVENT_LBUTTONDOWN ):
+ prev_pt = cvPoint(x,y);
+ elif( event == CV_EVENT_MOUSEMOVE and (flags & CV_EVENT_FLAG_LBUTTON) ):
+ pt = cvPoint(x,y);
+ if( prev_pt.x < 0 ):
+ prev_pt = pt;
+ cvLine( marker_mask, prev_pt, pt, cvScalarAll(255), 5, 8, 0 );
+ cvLine( img, prev_pt, pt, cvScalarAll(255), 5, 8, 0 );
+ prev_pt = pt;
+ cvShowImage( "image", img );
+
+if __name__ == "__main__":
+ filename = "../c/fruits.jpg"
+ if len(sys.argv)>1:
+ filename = sys.argv[1]
+
+ rng = cvRNG(-1);
+ img0 = cvLoadImage(filename,1)
+ if not img0:
+ print "Error opening image '%s'" % filename
+ sys.exit(-1)
+
+ print "Hot keys:"
+ print "\tESC - quit the program"
+ print "\tr - restore the original image"
+ print "\tw - run watershed algorithm"
+ print "\t (before that, roughly outline several markers on the image)"
+
+ cvNamedWindow( "image", 1 );
+ cvNamedWindow( "watershed transform", 1 );
+
+ img = cvCloneImage( img0 );
+ img_gray = cvCloneImage( img0 );
+ wshed = cvCloneImage( img0 );
+ marker_mask = cvCreateImage( cvGetSize(img), 8, 1 );
+ markers = cvCreateImage( cvGetSize(img), IPL_DEPTH_32S, 1 );
+
+ cvCvtColor( img, marker_mask, CV_BGR2GRAY );
+ cvCvtColor( marker_mask, img_gray, CV_GRAY2BGR );
+
+ cvZero( marker_mask );
+ cvZero( wshed );
+
+ cvShowImage( "image", img );
+ cvShowImage( "watershed transform", wshed );
+
+ cvSetMouseCallback( "image", on_mouse, None );
+ while True:
+ c = cvWaitKey(0);
+ if c=='\x1b':
+ break;
+ if c == 'r':
+ cvZero( marker_mask );
+ cvCopy( img0, img );
+ cvShowImage( "image", img );
+ if c == 'w':
+ storage = cvCreateMemStorage(0);
+ comp_count = 0;
+ #cvSaveImage( "wshed_mask.png", marker_mask );
+ #marker_mask = cvLoadImage( "wshed_mask.png", 0 );
+ nb_cont, contours = cvFindContours( marker_mask, storage, sizeof_CvContour,
+ CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE );
+ cvZero( markers );
+ while contours:
+ cvDrawContours( markers, contours, cvScalarAll(comp_count+1),
+ cvScalarAll(comp_count+1), -1, -1, 8, cvPoint(0,0) );
+ contours=contours.h_next
+ comp_count+=1
+ color_tab = cvCreateMat( comp_count, 1, CV_8UC3 );
+ for i in range(comp_count):
+ color_tab[i] = cvScalar( cvRandInt(rng)%180 + 50,
+ cvRandInt(rng)%180 + 50,
+ cvRandInt(rng)%180 + 50 );
+ t = cvGetTickCount();
+ cvWatershed( img0, markers );
+ t = cvGetTickCount() - t;
+ #print "exec time = %f" % t/(cvGetTickFrequency()*1000.)
+
+ cvSet( wshed, cvScalarAll(255) );
+
+ # paint the watershed image
+ for j in range(markers.height):
+ for i in range(markers.width):
+ idx = markers[j,i]
+ if idx==-1:
+ continue
+ idx = idx-1
+ wshed[j,i] = color_tab[idx,0]
+
+ cvAddWeighted( wshed, 0.5, img_gray, 0.5, 0, wshed );
+ cvShowImage( "watershed transform", wshed );
+ cvWaitKey();