Open Source Computer Vision Library https://opencv.org/
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#!/usr/bin/python
import sys
import urllib2
import cv2.cv as cv
src = 0
image = 0
dest = 0
element_shape = cv.CV_SHAPE_RECT
def Opening(pos):
element = cv.CreateStructuringElementEx(pos*2+1, pos*2+1, pos, pos, element_shape)
cv.Erode(src, image, element, 1)
cv.Dilate(image, dest, element, 1)
cv.ShowImage("Opening & Closing", dest)
def Closing(pos):
element = cv.CreateStructuringElementEx(pos*2+1, pos*2+1, pos, pos, element_shape)
cv.Dilate(src, image, element, 1)
cv.Erode(image, dest, element, 1)
cv.ShowImage("Opening & Closing", dest)
def Erosion(pos):
element = cv.CreateStructuringElementEx(pos*2+1, pos*2+1, pos, pos, element_shape)
cv.Erode(src, dest, element, 1)
cv.ShowImage("Erosion & Dilation", dest)
def Dilation(pos):
element = cv.CreateStructuringElementEx(pos*2+1, pos*2+1, pos, pos, element_shape)
cv.Dilate(src, dest, element, 1)
cv.ShowImage("Erosion & Dilation", dest)
if __name__ == "__main__":
if len(sys.argv) > 1:
src = cv.LoadImage(sys.argv[1], cv.CV_LOAD_IMAGE_COLOR)
else:
url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg'
filedata = urllib2.urlopen(url).read()
imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
cv.SetData(imagefiledata, filedata, len(filedata))
src = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_COLOR)
image = cv.CloneImage(src)
dest = cv.CloneImage(src)
cv.NamedWindow("Opening & Closing", 1)
cv.NamedWindow("Erosion & Dilation", 1)
cv.ShowImage("Opening & Closing", src)
cv.ShowImage("Erosion & Dilation", src)
cv.CreateTrackbar("Open", "Opening & Closing", 0, 10, Opening)
cv.CreateTrackbar("Close", "Opening & Closing", 0, 10, Closing)
cv.CreateTrackbar("Dilate", "Erosion & Dilation", 0, 10, Dilation)
cv.CreateTrackbar("Erode", "Erosion & Dilation", 0, 10, Erosion)
cv.WaitKey(0)
cv.DestroyWindow("Opening & Closing")
cv.DestroyWindow("Erosion & Dilation")