maxStrength = 0.0
threshold = 0.01
nonMaxSize = 3
cv.CornerHarris(img, dst_32f, neighbourhood, aperture, k)
minv, maxv, minl, maxl = cv.MinMaxLoc(dst_32f)
dilated = cv.CloneImage(dst_32f)
cv.Dilate(
dst_32f, dilated
) #nos aseguramos que el pixel local su maximo valor no cambia y todos los otros pixeles si
localMax = cv.CreateMat(dst_32f.height, dst_32f.width, cv.CV_8U)
cv.Cmp(
dst_32f, dilated, localMax, cv.CV_CMP_EQ
) #comparamos y guardamos solo los pixeles modificados los que son los maximos valores locales que son esquinas
threshold = 0.01 * maxv
cv.Threshold(dst_32f, dst_32f, threshold, 255, cv.CV_THRESH_BINARY)
cornerMap = cv.CreateMat(dst_32f.height, dst_32f.width, cv.CV_8U)
cv.Convert(dst_32f, cornerMap) #convertir y utilizar la operacion logica AND
cv.And(cornerMap, localMax, cornerMap) #Borrar todos los pixeles modificados
radius = 3
thickness = 2
l = []
for x in range(cornerMap.height
): # crea la lista de todos los pixeles que no son 0 (no negro)
maxStrength = 0.0
threshold = 0.01
nonMaxSize = 3
cv.CornerHarris(im, dst_32f, neighbourhood, aperture, k)
minv, maxv, minl, maxl = cv.MinMaxLoc(dst_32f)
dilated = cv.CloneImage(dst_32f)
cv.Dilate(
dst_32f, dilated
) # By this way we are sure that pixel with local max value will not be changed, and all the others will
localMax = cv.CreateMat(dst_32f.height, dst_32f.width, cv.CV_8U)
cv.Cmp(
dst_32f, dilated, localMax, cv.CV_CMP_EQ
) #compare allow to keep only non modified pixel which are local maximum values which are corners.
threshold = 0.01 * maxv
cv.Threshold(dst_32f, dst_32f, threshold, 255, cv.CV_THRESH_BINARY)
cornerMap = cv.CreateMat(dst_32f.height, dst_32f.width, cv.CV_8U)
cv.Convert(dst_32f, cornerMap) #Convert to make the and
cv.And(cornerMap, localMax, cornerMap) #Delete all modified pixels
radius = 3
thickness = 2
l = []
for x in range(
cornerMap.height
import cv2.cv as cv
capture=cv.CaptureFromCAM(0)
frame1 = cv.QueryFrame(capture)
frame1gray = cv.CreateMat(frame1.height, frame1.width, cv.CV_8U)
cv.CvtColor(frame1, frame1gray, cv.CV_RGB2GRAY)
res = cv.CreateMat(frame1.height, frame1.width, cv.CV_8U)
frame2gray = cv.CreateMat(frame1.height, frame1.width, cv.CV_8U)
while True:
frame2 = cv.QueryFrame(capture)
cv.CvtColor(frame2, frame2gray, cv.CV_RGB2GRAY)
cv.Smooth(frame2gray, frame2gray, cv.CV_BLUR, 12,12)
cv.Cmp(frame1gray, frame2gray, res, cv.CV_CMP_EQ) #Call the compare with the tow frames
cv.ShowImage("Image", frame2)
cv.ShowImage("Res", res)
cv.Copy(frame2gray, frame1gray)
c=cv.WaitKey(1)
if c==27: #Break if user enters 'Esc'.
break