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