mirror of
https://github.com/opencv/opencv.git
synced 2024-12-18 11:28:02 +08:00
60 lines
1.6 KiB
Python
Executable File
60 lines
1.6 KiB
Python
Executable File
#!/usr/bin/python
|
|
import sys
|
|
from opencv.cv import *
|
|
from opencv.highgui import *
|
|
image = [None, None]
|
|
image0 = None
|
|
image1 = None
|
|
threshold1 = 255
|
|
threshold2 = 30
|
|
l = level = 4;
|
|
block_size = 1000;
|
|
filter = CV_GAUSSIAN_5x5;
|
|
storage = None
|
|
min_comp = CvConnectedComp()
|
|
|
|
def set_thresh1( val ):
|
|
global threshold1
|
|
threshold1 = val
|
|
ON_SEGMENT()
|
|
|
|
def set_thresh2( val ):
|
|
global threshold2
|
|
threshold2 = val
|
|
ON_SEGMENT()
|
|
|
|
def ON_SEGMENT():
|
|
global storage
|
|
global min_comp
|
|
comp = cvPyrSegmentation(image0, image1, storage, level, threshold1+1, threshold2+1);
|
|
cvShowImage("Segmentation", image1);
|
|
|
|
if __name__ == "__main__":
|
|
filename = "../c/fruits.jpg";
|
|
if len(sys.argv) == 2:
|
|
filename = sys.argv[1]
|
|
image[0] = cvLoadImage( filename, 1)
|
|
if not image[0]:
|
|
print "Error opening %s" % filename
|
|
sys.exit(-1)
|
|
|
|
cvNamedWindow("Source", 0);
|
|
cvShowImage("Source", image[0]);
|
|
cvNamedWindow("Segmentation", 0);
|
|
storage = cvCreateMemStorage ( block_size );
|
|
image[0].width &= -(1<<level);
|
|
image[0].height &= -(1<<level);
|
|
image0 = cvCloneImage( image[0] );
|
|
image1 = cvCloneImage( image[0] );
|
|
# segmentation of the color image
|
|
l = 1;
|
|
threshold1 =255;
|
|
threshold2 =30;
|
|
ON_SEGMENT();
|
|
sthreshold1 = cvCreateTrackbar("Threshold1", "Segmentation", threshold1, 255, set_thresh1);
|
|
sthreshold2 = cvCreateTrackbar("Threshold2", "Segmentation", threshold2, 255, set_thresh2);
|
|
cvShowImage("Segmentation", image1);
|
|
cvWaitKey(0);
|
|
cvDestroyWindow("Segmentation");
|
|
cvDestroyWindow("Source");
|