A couple snippets grabbed from other sources and put together here. Demonstrates: Conversion to greyscale: cv.CvtColor, Sobel operator: cv.Sobel, Smoothing: cv.Smooth
Python, 31 lines
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Copy to clipboard1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | import cv2.cv as cv
cv.NamedWindow("camera", 1)
capture = cv.CaptureFromCAM(0)
while True:
img = cv.QueryFrame(capture)
im_gray = cv.CreateImage(cv.GetSize(img),cv.IPL_DEPTH_8U,1)
cv.CvtColor(img,im_gray,cv.CV_RGB2GRAY)
# Sobel operator
dstSobel = cv.CreateMat(im_gray.height, im_gray.width, cv.CV_32FC1)
# Sobel(src, dst, xorder, yorder, apertureSize = 3)
cv.Sobel(im_gray,dstSobel,1,1,3)
cv.ShowImage('camera', dstSobel)
# image smoothing and subtraction
# imageBlur = cv.CreateImage(cv.GetSize(im_gray), im_gray.depth, im_gray.nChannels)
# # filering the original image
# # Smooth(src, dst, smoothtype=CV_GAUSSIAN, param1=3, param2=0, param3=0, param4=0)
# cv.Smooth(im_gray, imageBlur, cv.CV_BLUR, 11, 11)
# diff = cv.CreateImage(cv.GetSize(im_gray), im_gray.depth, im_gray.nChannels)
# # subtraction (original - filtered)
# cv.AbsDiff(im_gray,imageBlur,diff)
# cv.ShowImage('camera', diff)
if cv.WaitKey(10) == 27:
break
cv.DestroyWindow("camera")
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