def processImage(self, frame):
cv.CvtColor(frame, self.frame2gray, cv.CV_RGB2GRAY)
#Absdiff to get the difference between to the frames
cv.AbsDiff(self.frame1gray, self.frame2gray, self.res)
#Remove the noise and do the threshold
cv.Smooth(self.res, self.res, cv.CV_BLUR, 5, 5)
cv.MorphologyEx(self.res, self.res, None, None, cv.CV_MOP_OPEN)
cv.MorphologyEx(self.res, self.res, None, None, cv.CV_MOP_CLOSE)
cv.Threshold(self.res, self.res, 10, 255, cv.CV_THRESH_BINARY_INV)
import cv2 as cv
orig = cv.imread('lena.png')
#im = cv.CreateImage(cv.GetSize(orig), 8, 1)
im = cv.cvtColor(orig,cv.COLOR_BGR2GRAY)
#cv.CvtColor(orig, im, cv.CV_BGR2GRAY)
#Keep the original in colour to draw contours in the end
cv.Threshold(im, im, 128, 255, cv.CV_THRESH_BINARY)
cv.ShowImage("Threshold 1", im)
element = cv.CreateStructuringElementEx(5*2+1, 5*2+1, 5, 5, cv.CV_SHAPE_RECT)
cv.MorphologyEx(im, im, None, element, cv.CV_MOP_OPEN) #Open and close to make appear contours
cv.MorphologyEx(im, im, None, element, cv.CV_MOP_CLOSE)
cv.Threshold(im, im, 128, 255, cv.CV_THRESH_BINARY_INV)
cv.ShowImage("After MorphologyEx", im)
# --------------------------------
vals = cv.CloneImage(im) #Make a clone because FindContours can modify the image
contours=cv.FindContours(vals, cv.CreateMemStorage(0), cv.CV_RETR_LIST, cv.CV_CHAIN_APPROX_SIMPLE, (0,0))
_red = (0, 0, 255); #Red for external contours
_green = (0, 255, 0);# Gren internal contours
levels=2 #1 contours drawn, 2 internal contours as well, 3 ...
cv.DrawContours (orig, contours, _red, _green, levels, 2, cv.CV_FILLED) #Draw contours on the colour image
cv.ShowImage("Image", orig)
cv.WaitKey(0)
def openCloseImage(im, nbiter=0):
for i in range(nbiter):
cv.MorphologyEx(
im, im, None, None,
cv.CV_MOP_OPEN) #Open and close to make appear contours
cv.MorphologyEx(im, im, None, None, cv.CV_MOP_CLOSE)