Example #1
0
def timeChallenge():
  im = io.imread('zebra.png')
  t1=time.time()
  a3.gaussianBlur(im,2, 3)
  print time.time()-t1, 'seconds for Gaussian Blur'
  t2=time.time()
  a3.convolve(im, a3.gauss2D())
  print time.time()-t2, 'seconds for Convolve'
Example #2
0
def test_convolve_gauss():

  im=io.imread('pru.png')
  gauss3=np.array([[1, 2, 1], [2, 4, 2], [1, 2, 1]])
  kernel=gauss3.astype(float)
  kernel=kernel/sum(sum(kernel))
  out=a3.convolve(im, kernel)
  io.imwrite(out, 'my_gaussblur.png')
Example #3
0
import a3
import imageIO as io
import time

zebra = io.imread('zebra.png')
print 'Begin separable Gaussian'
start = time.time()
zebra1 = a3.gaussianBlur(zebra, 3, 3)
end = time.time()
print end - start, 'seconds'
print 'Begin 2D Gaussian'
start = time.time()
zebra2 = a3.convolve(zebra, a3.gauss2D(3, 3))
end = time.time()
print end - start, 'seconds'
io.imwrite(zebra1, 'zebraSeparableGaussian.png')
io.imwrite(zebra2, 'zebra2DGaussian.png')
Example #4
0
def test_equal():
  im=io.imread('pru.png')
  out1=a3.convolve(im, a3.gauss2D())
  out2=a3.gaussianBlur(im,2, 3)
  res=abs(out1-out2);
  return (sum(res.flatten())<0.1)
Example #5
0
def test_gauss2D():
  im=io.imread('pru.png')
  out=a3.convolve(im, a3.gauss2D())
  io.imwrite(out, 'my_gauss2DBlur.png')
Example #6
0
def test_horigauss():
  im=io.imread('pru.png')
  kernel=a3.horiGaussKernel(2,3)
  out=a3.convolve(im, kernel)
  io.imwrite(out, 'my_horigauss.png')
Example #7
0
def test_convolve_Sobel():
  im=io.imread('pru.png')
  Sobel=np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]])
  out=a3.convolve(im, Sobel)
  io.imwrite(out, 'my_Sobel.png')
Example #8
0
def test_convolve_deriv():
  im=io.imread('pru.png')
  deriv=np.array([[-1, 1]])
  out=a3.convolve(im, deriv)
  io.imwrite(out, 'my_deriv.png')