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#!/usr/bin/python
import sys
import cv2.cv as cv
import urllib2
wndname = "Distance transform"
tbarname = "Threshold"
# The output images
dist = 0
dist8u1 = 0
dist8u2 = 0
dist8u = 0
dist32s = 0
gray = 0
edge = 0
# define a trackbar callback
def on_trackbar(edge_thresh):
cv.Threshold(gray, edge, float(edge_thresh), float(edge_thresh), cv.CV_THRESH_BINARY)
#Distance transform
cv.DistTransform(edge, dist, cv.CV_DIST_L2, cv.CV_DIST_MASK_5)
cv.ConvertScale(dist, dist, 5000.0, 0)
cv.Pow(dist, dist, 0.5)
cv.ConvertScale(dist, dist32s, 1.0, 0.5)
cv.AndS(dist32s, cv.ScalarAll(255), dist32s, None)
cv.ConvertScale(dist32s, dist8u1, 1, 0)
cv.ConvertScale(dist32s, dist32s, -1, 0)
cv.AddS(dist32s, cv.ScalarAll(255), dist32s, None)
cv.ConvertScale(dist32s, dist8u2, 1, 0)
cv.Merge(dist8u1, dist8u2, dist8u2, None, dist8u)
cv.ShowImage(wndname, dist8u)
if __name__ == "__main__":
edge_thresh = 100
if len(sys.argv) > 1:
gray = cv.LoadImage(sys.argv[1], cv.CV_LOAD_IMAGE_GRAYSCALE)
else:
url = 'https://raw.github.com/Itseez/opencv/master/samples/c/stuff.jpg'
filedata = urllib2.urlopen(url).read()
imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
cv.SetData(imagefiledata, filedata, len(filedata))
gray = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_GRAYSCALE)
# Create the output image
dist = cv.CreateImage((gray.width, gray.height), cv.IPL_DEPTH_32F, 1)
dist8u1 = cv.CloneImage(gray)
dist8u2 = cv.CloneImage(gray)
dist8u = cv.CreateImage((gray.width, gray.height), cv.IPL_DEPTH_8U, 3)
dist32s = cv.CreateImage((gray.width, gray.height), cv.IPL_DEPTH_32S, 1)
# Convert to grayscale
edge = cv.CloneImage(gray)
# Create a window
cv.NamedWindow(wndname, 1)
# create a toolbar
cv.CreateTrackbar(tbarname, wndname, edge_thresh, 255, on_trackbar)
# Show the image
on_trackbar(edge_thresh)
# Wait for a key stroke; the same function arranges events processing
cv.WaitKey(0)
cv.DestroyAllWindows()
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