def test_simpleNorm(self):
simpleNorm = Normalization.simpleNorm(self.img)
img = self.img
imgc = numpy.zeros_like(img)
for i in range(img.shape[2]):
imgc[:,:,i] = img[:,:,i] * 255.0/img[:,:,i].max()
equalityBool = (simpleNorm == imgc).all()
self.assertTrue(equalityBool)
test = "/home/redwards/Dropbox/ComputerVision/TestCode/test.png"
im = ImageIO.cv2read(test)
print im.shape
print "Testing Tylers normalization"
tn = Normalization.Tyler(im)
print "Testing histogram equalization"
he = Normalization.equalizeHistograms(im)
heo = numpy.ones_like(im)
heo[:,:,0]=he
heo[:,:,1]=he
heo[:,:,2]=he
print "Simple normaliztion"
nh = Normalization.simpleNorm(im)
print nh.shape
partone = numpy.vstack([im, heo])
parttwo = numpy.vstack([tn, nh])
allim = numpy.hstack([partone, parttwo])
print "Press any key to exit\n"
cv2.imshow('images', allim)
#cv2.imshow('grey', he)
cv2.waitKey(0)
cv2.destroyAllWindows()
