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165 lines
4.9 KiB
Python
165 lines
4.9 KiB
Python
# Test the ImageMorphology functionality
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from tester import *
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from PIL import Image
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from PIL import ImageMorph
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def img_to_string(im):
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"""Turn a (small) binary image into a string representation"""
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chars = '.1'
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width, height = im.size
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return '\n'.join(
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[''.join([chars[im.getpixel((c,r))>0] for c in range(width)])
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for r in range(height)])
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def string_to_img(image_string):
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"""Turn a string image representation into a binary image"""
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rows = [s for s in image_string.replace(' ','').split('\n')
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if len(s)]
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height = len(rows)
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width = len(rows[0])
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im = Image.new('L',(width,height))
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for i in range(width):
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for j in range(height):
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c = rows[j][i]
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v = c in 'X1'
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im.putpixel((i,j),v)
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return im
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def img_string_normalize(im):
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return img_to_string(string_to_img(im))
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def assert_img_equal(A,B):
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assert_equal(img_to_string(A), img_to_string(B))
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def assert_img_equal_img_string(A,Bstring):
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assert_equal(img_to_string(A), img_string_normalize(Bstring))
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A = string_to_img(
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"""
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.......
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.......
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..111..
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..111..
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..111..
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.......
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.......
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"""
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)
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def test_str_to_img():
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im = Image.open('Tests/images/morph_a.png')
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assert_image_equal(A, im)
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def create_lut():
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for op in ('corner', 'dilation4', 'dilation8', 'erosion4', 'erosion8', 'edge'):
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lb = ImageMorph.LutBuilder(op_name=op)
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lut = lb.build_lut()
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with open('Tests/images/%s.lut' % op, 'wb') as f:
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f.write(lut)
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#create_lut()
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def test_lut():
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for op in ('corner', 'dilation4', 'dilation8', 'erosion4', 'erosion8', 'edge'):
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lb = ImageMorph.LutBuilder(op_name=op)
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lut = lb.build_lut()
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with open('Tests/images/%s.lut' % op , 'rb') as f:
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assert_equal(lut, bytearray(f.read()))
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# Test the named patterns
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def test_erosion8():
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# erosion8
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mop = ImageMorph.MorphOp(op_name='erosion8')
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count,Aout = mop.apply(A)
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assert_equal(count,8)
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assert_img_equal_img_string(Aout,
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"""
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.......
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.......
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.......
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...1...
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.......
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.......
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.......
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""")
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def test_dialation8():
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# dialation8
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mop = ImageMorph.MorphOp(op_name='dilation8')
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count,Aout = mop.apply(A)
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assert_equal(count,16)
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assert_img_equal_img_string(Aout,
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"""
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.......
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.11111.
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.11111.
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.11111.
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.11111.
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.11111.
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.......
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""")
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def test_erosion4():
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# erosion4
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mop = ImageMorph.MorphOp(op_name='dilation4')
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count,Aout = mop.apply(A)
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assert_equal(count,12)
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assert_img_equal_img_string(Aout,
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"""
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.......
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..111..
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.11111.
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.11111.
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.11111.
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..111..
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.......
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""")
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def test_edge():
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# edge
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mop = ImageMorph.MorphOp(op_name='edge')
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count,Aout = mop.apply(A)
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assert_equal(count,1)
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assert_img_equal_img_string(Aout,
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"""
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.......
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.......
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..111..
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..1.1..
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..111..
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.......
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.......
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""")
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def test_corner():
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# Create a corner detector pattern
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mop = ImageMorph.MorphOp(patterns = ['1:(... ... ...)->0',
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'4:(00. 01. ...)->1'])
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count,Aout = mop.apply(A)
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assert_equal(count,5)
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assert_img_equal_img_string(Aout,
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"""
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.......
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.......
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..1.1..
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.......
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..1.1..
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.......
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.......
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""")
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# Test the coordinate counting with the same operator
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coords = mop.match(A)
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assert_equal(len(coords), 4)
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assert_equal(tuple(coords),
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((2,2),(4,2),(2,4),(4,4)))
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coords = mop.get_on_pixels(Aout)
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assert_equal(len(coords), 4)
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assert_equal(tuple(coords),
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((2,2),(4,2),(2,4),(4,4)))
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