1
    2 
    3'''
    4Watershed segmentation
    5=========
    6 
    7This program demonstrates the watershed segmentation algorithm
    8in OpenCV: watershed().
    9 
   10Usage
   11-----
   12watershed.py [image filename]
   13 
   14Keys
   15----
   16  1-7   - switch marker color
   17  SPACE - update segmentation
   18  r     - reset
   19  a     - toggle autoupdate
   20  ESC   - exit
   21 
   22'''
   23 
   24 
   25
   26from __future__ import print_function
   27 
   28import numpy as np
   29import cv2 as cv
   30from common import Sketcher
   31 
   32class App:
   33    def __init__(self, fn):
   35        if self.img is None:
   36            raise Exception('Failed to load image file: %s' % fn)
   37 
   38        h, w = self.img.shape[:2]
   39        self.markers = np.zeros((h, w), np.int32)
   40        self.markers_vis = self.img.copy()
   41        self.cur_marker = 1
   42        self.colors = np.int32( list(np.ndindex(2, 2, 2)) ) * 255
   43 
   44        self.auto_update = True
   45        self.sketch = Sketcher('img', [self.markers_vis, self.markers], self.get_colors)
   46 
   47    def get_colors(self):
   48        return list(map(int, self.colors[self.cur_marker])), self.cur_marker
   49 
   50    def watershed(self):
   51        m = self.markers.copy()
   53        overlay = self.colors[np.maximum(m, 0)]
   54        vis = 
cv.addWeighted(self.img, 0.5, overlay, 0.5, 0.0, dtype=cv.CV_8UC3)
 
   56 
   57    def run(self):
   60            if ch == 27:
   61                break
   62            if ch >= ord('1') and ch <= ord('7'):
   63                self.cur_marker = ch - ord('0')
   64                print('marker: ', self.cur_marker)
   65            if ch == ord(' ') or (self.sketch.dirty and self.auto_update):
   66                self.watershed()
   67                self.sketch.dirty = False
   68            if ch in [ord('a'), ord('A')]:
   69                self.auto_update = not self.auto_update
   70                print('auto_update if', ['off', 'on'][self.auto_update])
   71            if ch in [ord('r'), ord('R')]:
   72                self.markers[:] = 0
   73                self.markers_vis[:] = self.img
   74                self.sketch.show()
   76 
   77 
   78if __name__ == '__main__':
   79    print(__doc__)
   80    import sys
   81    try:
   82        fn = sys.argv[1]
   83    except:
   84        fn = 'fruits.jpg'
void addWeighted(InputArray src1, double alpha, InputArray src2, double beta, double gamma, OutputArray dst, int dtype=-1)
Calculates the weighted sum of two arrays.
 
cv::String findFile(const cv::String &relative_path, bool required=true, bool silentMode=false)
Try to find requested data file.
 
void imshow(const String &winname, InputArray mat)
Displays an image in the specified window.
 
int waitKey(int delay=0)
Waits for a pressed key.
 
void destroyAllWindows()
Destroys all of the HighGUI windows.
 
double getWindowProperty(const String &winname, int prop_id)
Provides parameters of a window.
 
CV_EXPORTS_W Mat imread(const String &filename, int flags=IMREAD_COLOR_BGR)
Loads an image from a file.
 
void watershed(InputArray image, InputOutputArray markers)
Performs a marker-based image segmentation using the watershed algorithm.