#!/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()