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https://github.com/python-pillow/Pillow.git
synced 2024-11-11 04:07:21 +03:00
Alex Clark ☺
commit
25375a86f8
236
PIL/ImageMorph.py
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236
PIL/ImageMorph.py
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@ -0,0 +1,236 @@
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# A binary morphology add-on for the Python Imaging Library
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#
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# History:
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# 2014-06-04 Initial version.
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#
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# Copyright (c) 2014 Dov Grobgeld <dov.grobgeld@gmail.com>
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from PIL import Image
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from PIL import _imagingmorph
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import re
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LUT_SIZE = 1<<9
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class LutBuilder:
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"""A class for building MorphLut's from a descriptive language
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The input patterns is a list of a strings sequences like these:
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4:(...
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.1.
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111)->1
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(whitespaces including linebreaks are ignored). The option 4
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descibes a series of symmetry operations (in this case a
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4-rotation), the pattern is decribed by:
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. or X - Ignore
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1 - Pixel is on
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0 - Pixel is off
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The result of the operation is described after "->" string.
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The default is to return the current pixel value, which is
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returned if no other match is found.
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Operations:
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4 - 4 way rotation
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N - Negate
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1 - Dummy op for no other operation (an op must always be given)
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M - Mirroring
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Example:
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lb = LutBuilder(patterns = ["4:(... .1. 111)->1"])
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lut = lb.build_lut()
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"""
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def __init__(self,patterns = None,op_name=None):
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if patterns is not None:
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self.patterns = patterns
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else:
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self.patterns = []
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self.lut = None
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if op_name is not None:
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known_patterns = {
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'corner' : ['1:(... ... ...)->0',
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'4:(00. 01. ...)->1'],
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'dilation4' : ['4:(... .0. .1.)->1'],
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'dilation8' : ['4:(... .0. .1.)->1',
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'4:(... .0. ..1)->1'],
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'erosion4' : ['4:(... .1. .0.)->0'],
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'erosion8' : ['4:(... .1. .0.)->0',
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'4:(... .1. ..0)->0'],
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'edge' : ['1:(... ... ...)->0',
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'4:(.0. .1. ...)->1',
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'4:(01. .1. ...)->1']
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}
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if not op_name in known_patterns:
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raise Exception('Unknown pattern '+op_name+'!')
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self.patterns = known_patterns[op_name]
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def add_patterns(self, patterns):
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self.patterns += patterns
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def build_default_lut(self):
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symbols = [0, 1]
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m = 1 << 4 # pos of current pixel
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self.lut = bytearray([symbols[(i & m)>0] for i in range(LUT_SIZE)])
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def get_lut(self):
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return self.lut
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def _string_permute(self, pattern, permutation):
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"""string_permute takes a pattern and a permutation and returns the
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string permuted accordinging to the permutation list.
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"""
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assert(len(permutation)==9)
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return ''.join([pattern[p] for p in permutation])
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def _pattern_permute(self, basic_pattern, options, basic_result):
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"""pattern_permute takes a basic pattern and its result and clones
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the mattern according to the modifications described in the $options
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parameter. It returns a list of all cloned patterns."""
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patterns = [(basic_pattern, basic_result)]
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# rotations
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if '4' in options:
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res = patterns[-1][1]
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for i in range(4):
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patterns.append(
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(self._string_permute(patterns[-1][0],
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[6,3,0,
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7,4,1,
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8,5,2]), res))
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# mirror
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if 'M' in options:
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n = len(patterns)
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for pattern,res in patterns[0:n]:
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patterns.append(
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(self._string_permute(pattern, [2,1,0,
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5,4,3,
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8,7,6]), res))
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# negate
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if 'N' in options:
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n = len(patterns)
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for pattern,res in patterns[0:n]:
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# Swap 0 and 1
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pattern = (pattern
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.replace('0','Z')
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.replace('1','0')
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.replace('Z','1'))
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res = '%d'%(1-int(res))
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patterns.append((pattern, res))
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return patterns
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def build_lut(self):
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"""Compile all patterns into a morphology lut.
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TBD :Build based on (file) morphlut:modify_lut
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"""
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self.build_default_lut()
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patterns = []
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# Parse and create symmetries of the patterns strings
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for p in self.patterns:
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m = re.search(r'(\w*):?\s*\((.+?)\)\s*->\s*(\d)', p.replace('\n',''))
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if not m:
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raise Exception('Syntax error in pattern "'+p+'"')
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options = m.group(1)
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pattern = m.group(2)
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result = int(m.group(3))
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# Get rid of spaces
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pattern= pattern.replace(' ','').replace('\n','')
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patterns += self._pattern_permute(pattern, options, result)
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# # Debugging
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# for p,r in patterns:
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# print p,r
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# print '--'
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# compile the patterns into regular expressions for speed
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for i in range(len(patterns)):
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p = patterns[i][0].replace('.','X').replace('X','[01]')
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p = re.compile(p)
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patterns[i] = (p, patterns[i][1])
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# Step through table and find patterns that match.
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# Note that all the patterns are searched. The last one
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# caught overrides
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for i in range(LUT_SIZE):
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# Build the bit pattern
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bitpattern = bin(i)[2:]
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bitpattern = ('0'*(9-len(bitpattern)) + bitpattern)[::-1]
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for p,r in patterns:
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if p.match(bitpattern):
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self.lut[i] = [0, 1][r]
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return self.lut
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class MorphOp:
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"""A class for binary morphological operators"""
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def __init__(self,
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lut=None,
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op_name = None,
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patterns = None):
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"""Create a binary morphological operator"""
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self.lut = lut
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if op_name is not None:
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self.lut = LutBuilder(op_name = op_name).build_lut()
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elif patterns is not None:
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self.lut = LutBuilder(patterns = patterns).build_lut()
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def apply(self, image):
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"""Run a single morphological operation on an image
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Returns a tuple of the number of changed pixels and the
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morphed image"""
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if self.lut is None:
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raise Exception('No operator loaded')
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outimage = Image.new(image.mode, image.size, None)
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count = _imagingmorph.apply(bytes(self.lut), image.im.id, outimage.im.id)
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return count, outimage
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def match(self, image):
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"""Get a list of coordinates matching the morphological operation on an image
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Returns a list of tuples of (x,y) coordinates of all matching pixels."""
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if self.lut is None:
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raise Exception('No operator loaded')
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return _imagingmorph.match(bytes(self.lut), image.im.id)
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def get_on_pixels(self, image):
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"""Get a list of all turned on pixels in a binary image
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Returns a list of tuples of (x,y) coordinates of all matching pixels."""
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return _imagingmorph.get_on_pixels(image.im.id)
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def load_lut(self, filename):
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"""Load an operator from an mrl file"""
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with open(filename,'rb') as f:
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self.lut = bytearray(f.read())
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if len(self.lut)!= 8192:
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self.lut = None
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raise Exception('Wrong size operator file!')
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def save_lut(self, filename):
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"""Load an operator save mrl file"""
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if self.lut is None:
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raise Exception('No operator loaded')
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with open(filename,'wb') as f:
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f.write(self.lut)
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def set_lut(self, lut):
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"""Set the lut from an external source"""
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self.lut = lut
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BIN
Tests/images/corner.lut
Normal file
BIN
Tests/images/corner.lut
Normal file
Binary file not shown.
BIN
Tests/images/dilation4.lut
Normal file
BIN
Tests/images/dilation4.lut
Normal file
Binary file not shown.
BIN
Tests/images/dilation8.lut
Normal file
BIN
Tests/images/dilation8.lut
Normal file
Binary file not shown.
BIN
Tests/images/edge.lut
Normal file
BIN
Tests/images/edge.lut
Normal file
Binary file not shown.
BIN
Tests/images/erosion4.lut
Normal file
BIN
Tests/images/erosion4.lut
Normal file
Binary file not shown.
BIN
Tests/images/erosion8.lut
Normal file
BIN
Tests/images/erosion8.lut
Normal file
Binary file not shown.
BIN
Tests/images/morph_a.png
Normal file
BIN
Tests/images/morph_a.png
Normal file
Binary file not shown.
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After Width: | Height: | Size: 83 B |
169
Tests/test_imagemorph.py
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169
Tests/test_imagemorph.py
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# Test the ImageMorphology functionality
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from helper import *
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from PIL import Image
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from PIL import ImageMorph
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class MorphTests(PillowTestCase):
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def setUp(self):
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self.A = self.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 img_to_string(self, 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(self, 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(self, im):
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return self.img_to_string(self.string_to_img(im))
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def assert_img_equal(self, A, B):
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self.assertEqual(self.img_to_string(A), self.img_to_string(B))
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def assert_img_equal_img_string(self, A, Bstring):
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self.assertEqual(self.img_to_string(A), self.img_string_normalize(Bstring))
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def test_str_to_img(self):
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im = Image.open('Tests/images/morph_a.png')
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self.assert_image_equal(self.A, im)
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def create_lut(self):
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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(self)
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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(self):
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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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self.assertEqual(lut, bytearray(f.read()))
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# Test the named patterns
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def test_erosion8(self):
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# erosion8
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mop = ImageMorph.MorphOp(op_name='erosion8')
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count,Aout = mop.apply(self.A)
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self.assertEqual(count,8)
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self.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(self):
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# dialation8
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mop = ImageMorph.MorphOp(op_name='dilation8')
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count,Aout = mop.apply(self.A)
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self.assertEqual(count,16)
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self.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(self):
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# erosion4
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mop = ImageMorph.MorphOp(op_name='dilation4')
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count,Aout = mop.apply(self.A)
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self.assertEqual(count,12)
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self.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(self):
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# edge
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mop = ImageMorph.MorphOp(op_name='edge')
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count,Aout = mop.apply(self.A)
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self.assertEqual(count,1)
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self.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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def test_corner(self):
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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(self.A)
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self.assertEqual(count,5)
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self.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(self.A)
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self.assertEqual(len(coords), 4)
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self.assertEqual(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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self.assertEqual(len(coords), 4)
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self.assertEqual(tuple(coords),
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((2,2),(4,2),(2,4),(4,4)))
|
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303
_imagingmorph.c
Normal file
303
_imagingmorph.c
Normal file
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@ -0,0 +1,303 @@
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/*
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* The Python Imaging Library
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*
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* A binary morphology add-on for the Python Imaging Library
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*
|
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* History:
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||||
* 2014-06-04 Initial version.
|
||||
*
|
||||
* Copyright (c) 2014 Dov Grobgeld <dov.grobgeld@gmail.com>
|
||||
*
|
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* See the README file for information on usage and redistribution.
|
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*/
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#include "Python.h"
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#include "Imaging.h"
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#include "py3.h"
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#define LUT_SIZE (1<<9)
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/* Apply a morphologic LUT to a binary image. Outputs a
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a new binary image.
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Expected parameters:
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1. a LUT - a 512 byte size lookup table.
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2. an input Imaging image id.
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3. an output Imaging image id
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Returns number of changed pixels.
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*/
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static PyObject*
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apply(PyObject *self, PyObject* args)
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{
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const char *lut;
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PyObject *py_lut;
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Py_ssize_t lut_len, i0, i1;
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Imaging imgin, imgout;
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int width, height;
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int row_idx, col_idx;
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UINT8 **inrows, **outrows;
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int num_changed_pixels = 0;
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if (!PyArg_ParseTuple(args, "Onn", &py_lut, &i0, &i1)) {
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PyErr_SetString(PyExc_RuntimeError, "Argument parsing problem");
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return NULL;
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}
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||||
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if (!PyBytes_Check(py_lut)) {
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PyErr_SetString(PyExc_RuntimeError, "The morphology LUT is not a bytes object");
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return NULL;
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||||
}
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lut_len = PyBytes_Size(py_lut);
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if (lut_len < LUT_SIZE) {
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PyErr_SetString(PyExc_RuntimeError, "The morphology LUT has the wrong size");
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return NULL;
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||||
}
|
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||||
lut = PyBytes_AsString(py_lut);
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||||
imgin = (Imaging) i0;
|
||||
imgout = (Imaging) i1;
|
||||
width = imgin->xsize;
|
||||
height = imgin->ysize;
|
||||
|
||||
if (imgin->type != IMAGING_TYPE_UINT8 &&
|
||||
imgin->bands != 1) {
|
||||
PyErr_SetString(PyExc_RuntimeError, "Unsupported image type");
|
||||
return NULL;
|
||||
}
|
||||
if (imgout->type != IMAGING_TYPE_UINT8 &&
|
||||
imgout->bands != 1) {
|
||||
PyErr_SetString(PyExc_RuntimeError, "Unsupported image type");
|
||||
return NULL;
|
||||
}
|
||||
|
||||
inrows = imgin->image8;
|
||||
outrows = imgout->image8;
|
||||
|
||||
for (row_idx=0; row_idx < height; row_idx++) {
|
||||
UINT8 *outrow = outrows[row_idx];
|
||||
UINT8 *inrow = inrows[row_idx];
|
||||
UINT8 *prow, *nrow; /* Previous and next row */
|
||||
|
||||
/* zero boundary conditions. TBD support other modes */
|
||||
outrow[0] = outrow[width-1] = 0;
|
||||
if (row_idx==0 || row_idx == height-1) {
|
||||
for(col_idx=0; col_idx<width; col_idx++)
|
||||
outrow[col_idx] = 0;
|
||||
continue;
|
||||
}
|
||||
|
||||
prow = inrows[row_idx-1];
|
||||
nrow = inrows[row_idx+1];
|
||||
|
||||
for (col_idx=1; col_idx<width-1; col_idx++) {
|
||||
int cim = col_idx-1;
|
||||
int cip = col_idx+1;
|
||||
unsigned char b0 = prow[cim] &1;
|
||||
unsigned char b1 = prow[col_idx]&1;
|
||||
unsigned char b2 = prow[cip]&1;
|
||||
|
||||
unsigned char b3 = inrow[cim]&1;
|
||||
unsigned char b4 = inrow[col_idx]&1;
|
||||
unsigned char b5 = inrow[cip]&1;
|
||||
|
||||
unsigned char b6 = nrow[cim]&1;
|
||||
unsigned char b7 = nrow[col_idx]&1;
|
||||
unsigned char b8 = nrow[cip]&1;
|
||||
|
||||
int lut_idx = (b0
|
||||
|(b1 << 1)
|
||||
|(b2 << 2)
|
||||
|(b3 << 3)
|
||||
|(b4 << 4)
|
||||
|(b5 << 5)
|
||||
|(b6 << 6)
|
||||
|(b7 << 7)
|
||||
|(b8 << 8));
|
||||
outrow[col_idx] = 255*(lut[lut_idx]&1);
|
||||
num_changed_pixels += ((b4&1)!=(outrow[col_idx]&1));
|
||||
}
|
||||
}
|
||||
return Py_BuildValue("i",num_changed_pixels);
|
||||
}
|
||||
|
||||
/* Match a morphologic LUT to a binary image and return a list
|
||||
of the coordinates of all all matching pixels.
|
||||
|
||||
Expected parameters:
|
||||
|
||||
1. a LUT - a 512 byte size lookup table.
|
||||
2. an input Imaging image id.
|
||||
|
||||
Returns list of matching pixels.
|
||||
*/
|
||||
static PyObject*
|
||||
match(PyObject *self, PyObject* args)
|
||||
{
|
||||
const char *lut;
|
||||
PyObject *py_lut;
|
||||
Py_ssize_t lut_len, i0;
|
||||
Imaging imgin;
|
||||
int width, height;
|
||||
int row_idx, col_idx;
|
||||
UINT8 **inrows;
|
||||
PyObject *ret = PyList_New(0);
|
||||
|
||||
if (!PyArg_ParseTuple(args, "On", &py_lut, &i0)) {
|
||||
PyErr_SetString(PyExc_RuntimeError, "Argument parsing problem");
|
||||
return NULL;
|
||||
}
|
||||
|
||||
if (!PyBytes_Check(py_lut)) {
|
||||
PyErr_SetString(PyExc_RuntimeError, "The morphology LUT is not a bytes object");
|
||||
return NULL;
|
||||
}
|
||||
|
||||
lut_len = PyBytes_Size(py_lut);
|
||||
|
||||
if (lut_len < LUT_SIZE) {
|
||||
PyErr_SetString(PyExc_RuntimeError, "The morphology LUT has the wrong size");
|
||||
return NULL;
|
||||
}
|
||||
|
||||
lut = PyBytes_AsString(py_lut);
|
||||
imgin = (Imaging) i0;
|
||||
|
||||
if (imgin->type != IMAGING_TYPE_UINT8 &&
|
||||
imgin->bands != 1) {
|
||||
PyErr_SetString(PyExc_RuntimeError, "Unsupported image type");
|
||||
return NULL;
|
||||
}
|
||||
|
||||
inrows = imgin->image8;
|
||||
width = imgin->xsize;
|
||||
height = imgin->ysize;
|
||||
|
||||
for (row_idx=1; row_idx < height-1; row_idx++) {
|
||||
UINT8 *inrow = inrows[row_idx];
|
||||
UINT8 *prow, *nrow;
|
||||
|
||||
prow = inrows[row_idx-1];
|
||||
nrow = inrows[row_idx+1];
|
||||
|
||||
for (col_idx=1; col_idx<width-1; col_idx++) {
|
||||
int cim = col_idx-1;
|
||||
int cip = col_idx+1;
|
||||
unsigned char b0 = prow[cim] &1;
|
||||
unsigned char b1 = prow[col_idx]&1;
|
||||
unsigned char b2 = prow[cip]&1;
|
||||
|
||||
unsigned char b3 = inrow[cim]&1;
|
||||
unsigned char b4 = inrow[col_idx]&1;
|
||||
unsigned char b5 = inrow[cip]&1;
|
||||
|
||||
unsigned char b6 = nrow[cim]&1;
|
||||
unsigned char b7 = nrow[col_idx]&1;
|
||||
unsigned char b8 = nrow[cip]&1;
|
||||
|
||||
int lut_idx = (b0
|
||||
|(b1 << 1)
|
||||
|(b2 << 2)
|
||||
|(b3 << 3)
|
||||
|(b4 << 4)
|
||||
|(b5 << 5)
|
||||
|(b6 << 6)
|
||||
|(b7 << 7)
|
||||
|(b8 << 8));
|
||||
if (lut[lut_idx]) {
|
||||
PyObject *coordObj = Py_BuildValue("(nn)",col_idx,row_idx);
|
||||
PyList_Append(ret, coordObj);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return ret;
|
||||
}
|
||||
|
||||
/* Return a list of the coordinates of all turned on pixels in an image.
|
||||
May be used to extract features after a sequence of MorphOp's were applied.
|
||||
This is faster than match as only 1x1 lookup is made.
|
||||
*/
|
||||
static PyObject*
|
||||
get_on_pixels(PyObject *self, PyObject* args)
|
||||
{
|
||||
Py_ssize_t i0;
|
||||
Imaging img;
|
||||
UINT8 **rows;
|
||||
int row_idx, col_idx;
|
||||
int width, height;
|
||||
PyObject *ret = PyList_New(0);
|
||||
|
||||
if (!PyArg_ParseTuple(args, "n", &i0)) {
|
||||
PyErr_SetString(PyExc_RuntimeError, "Argument parsing problem");
|
||||
|
||||
return NULL;
|
||||
}
|
||||
img = (Imaging) i0;
|
||||
rows = img->image8;
|
||||
width = img->xsize;
|
||||
height = img->ysize;
|
||||
|
||||
for (row_idx=0; row_idx < height; row_idx++) {
|
||||
UINT8 *row = rows[row_idx];
|
||||
for (col_idx=0; col_idx<width; col_idx++) {
|
||||
if (row[col_idx]) {
|
||||
PyObject *coordObj = Py_BuildValue("(nn)",col_idx,row_idx);
|
||||
PyList_Append(ret, coordObj);
|
||||
}
|
||||
}
|
||||
}
|
||||
return ret;
|
||||
}
|
||||
|
||||
|
||||
static int
|
||||
setup_module(PyObject* m)
|
||||
{
|
||||
PyObject* d = PyModule_GetDict(m);
|
||||
|
||||
PyDict_SetItemString(d, "__version", PyUnicode_FromString("0.1"));
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
static PyMethodDef functions[] = {
|
||||
/* Functions */
|
||||
{"apply", (PyCFunction)apply, 1},
|
||||
{"get_on_pixels", (PyCFunction)get_on_pixels, 1},
|
||||
{"match", (PyCFunction)match, 1},
|
||||
};
|
||||
|
||||
#if PY_VERSION_HEX >= 0x03000000
|
||||
PyMODINIT_FUNC
|
||||
PyInit__imagingmorph(void) {
|
||||
PyObject* m;
|
||||
|
||||
static PyModuleDef module_def = {
|
||||
PyModuleDef_HEAD_INIT,
|
||||
"_imagingmorph", /* m_name */
|
||||
"A module for doing image morphology", /* m_doc */
|
||||
-1, /* m_size */
|
||||
functions, /* m_methods */
|
||||
};
|
||||
|
||||
m = PyModule_Create(&module_def);
|
||||
|
||||
if (setup_module(m) < 0)
|
||||
return NULL;
|
||||
|
||||
return m;
|
||||
}
|
||||
#else
|
||||
PyMODINIT_FUNC
|
||||
init_imagingmorph(void)
|
||||
{
|
||||
PyObject* m = Py_InitModule("_imagingmorph", functions);
|
||||
setup_module(m);
|
||||
}
|
||||
#endif
|
||||
|
||||
3
setup.py
3
setup.py
|
|
@ -571,6 +571,9 @@ class pil_build_ext(build_ext):
|
|||
if os.path.isfile("_imagingmath.c"):
|
||||
exts.append(Extension("PIL._imagingmath", ["_imagingmath.c"]))
|
||||
|
||||
if os.path.isfile("_imagingmorph.c"):
|
||||
exts.append(Extension("PIL._imagingmorph", ["_imagingmorph.c"]))
|
||||
|
||||
self.extensions[:] = exts
|
||||
|
||||
build_ext.build_extensions(self)
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user