def _integrateImg(image):
assert image.__class__ == numpy.ndarray
row, col = image.shape
iImg = numpy.zeros((row, col))
iImg = image.cumsum(axis=1).cumsum(axis=0)
return iImg
def _integrateImg(image):
assert image.__class__ == numpy.ndarray
row, col = image.shape
#@iImg is integrated image of normalized image @self.stdImg
iImg = numpy.zeros((row, col))
"""
for i in xrange(0, row):
for j in xrange(0, col):
if j == 0:
iImg[i][j] = image[i][j]
else:
iImg[i][j] = iImg[i][j - 1] + image[i][j]
for j in xrange(0, col):
for i in xrange(1, row):
iImg[i][j] += iImg[i - 1][j]
"""
iImg = image.cumsum(axis=1).cumsum(axis=0)
return iImg
def _integrateImg(image):
assert image.__class__ == numpy.ndarray
row, col = image.shape
#@iImg is integrated image of normalized image @self.stdImg
iImg = numpy.zeros((row, col))
"""
for i in xrange(0, row):
for j in xrange(0, col):
if j == 0:
iImg[i][j] = image[i][j]
else:
iImg[i][j] = iImg[i][j - 1] + image[i][j]
for j in xrange(0, col):
for i in xrange(1, row):
iImg[i][j] += iImg[i - 1][j]
"""
iImg = image.cumsum(axis=1).cumsum(axis=0)
return iImg
def Integralimg(image):
row, col = image.shape
img = np.zeros((row, col))
img = image.cumsum(axis=1).cumsum(axis=0)
return img