saliency.py
def N(image):
	"""
		Normalization parameter as per Itti et al. (1998).
		returns a normalized feature map image.
	"""
	M = 8.	# an arbitrary global maximum to which the image is scaled.
			# (When saving saliency maps as images, pixel values may become
			# too large or too small for the chosen image format depending
			# on this constant)
	image = cv2.convertScaleAbs(image, alpha=M/image.max(), beta=0.)
	w,h = image.shape
	maxima = maximum_filter(image, size=(w/10,h/1))
	maxima = (image == maxima)
	mnum = maxima.sum()
	logger.debug("Found %d local maxima.", mnum)
	maxima = numpy.multiply(maxima, image)
	mbar = float(maxima.sum()) / mnum
	logger.debug("Average of local maxima: %f.  Global maximum: %f", mbar, M)
	return image * (M-mbar)**2

		Normalization parameter as per Itti et al. (1998).
		returns a normalized feature map image.
	
Normalization parameter as per Itti et al.
Normalization parameter as per Itti et al .
def N(image):
	M = 8.	
	image = cv2.convertScaleAbs(image, alpha=M/image.max(), beta=0.)
	w,h = image.shape
	maxima = maximum_filter(image, size=(w/10,h/1))
	maxima = (image == maxima)
	mnum = maxima.sum()
	logger.debug("Found %d local maxima.", mnum)
	maxima = numpy.multiply(maxima, image)
	mbar = float(maxima.sum()) / mnum
	logger.debug("Average of local maxima: %f.  Global maximum: %f", mbar, M)
	return image * (M-mbar)**2
def N ( image ) : M = 8. image = cv2 . convertScaleAbs ( image , alpha = M / image . max ( ) , beta = 0. ) w , h = image . shape maxima = maximum_filter ( image , size = ( w / 10 , h / 1 ) ) maxima = ( image == maxima ) mnum = maxima . sum ( ) logger . debug ( "Found %d local maxima." , mnum ) maxima = numpy . multiply ( maxima , image ) mbar = float ( maxima . sum ( ) ) / mnum logger . debug ( "Average of local maxima: %f.  Global maximum: %f" , mbar , M ) return image * ( M - mbar ) ** 2
Normalization parameter as per Itti et al.
Normalization parameter as per Itti et al .
"""
		Normalization parameter as per Itti et al. (1998).
		returns a normalized feature map image.
	""" # an arbitrary global maximum to which the image is scaled. # (When saving saliency maps as images, pixel values may become # too large or too small for the chosen image format depending # on this constant)
image