Python PIL.ImageFilter.MaxFilter() Examples

The following are 5 code examples of PIL.ImageFilter.MaxFilter(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module PIL.ImageFilter , or try the search function .
Example #1
Source File: test_image_filter.py    From python3_ios with BSD 3-Clause "New" or "Revised" License 6 votes vote down vote up 
def test_sanity(self):

        def filter(filter):
            for mode in ["L", "RGB", "CMYK"]:
                im = hopper(mode)
                out = im.filter(filter)
                self.assertEqual(out.mode, im.mode)
                self.assertEqual(out.size, im.size)

        filter(ImageFilter.BLUR)
        filter(ImageFilter.CONTOUR)
        filter(ImageFilter.DETAIL)
        filter(ImageFilter.EDGE_ENHANCE)
        filter(ImageFilter.EDGE_ENHANCE_MORE)
        filter(ImageFilter.EMBOSS)
        filter(ImageFilter.FIND_EDGES)
        filter(ImageFilter.SMOOTH)
        filter(ImageFilter.SMOOTH_MORE)
        filter(ImageFilter.SHARPEN)
        filter(ImageFilter.MaxFilter)
        filter(ImageFilter.MedianFilter)
        filter(ImageFilter.MinFilter)
        filter(ImageFilter.ModeFilter)
        filter(ImageFilter.GaussianBlur)
        filter(ImageFilter.GaussianBlur(5))
        filter(ImageFilter.BoxBlur(5))
        filter(ImageFilter.UnsharpMask)
        filter(ImageFilter.UnsharpMask(10))

        self.assertRaises(TypeError, filter, "hello")
Example #2
Source File: test_image_filter.py    From python3_ios with BSD 3-Clause "New" or "Revised" License 6 votes vote down vote up 
def test_rankfilter(self):

        def rankfilter(mode):
            im = Image.new(mode, (3, 3), None)
            im.putdata(list(range(9)))
            # image is:
            #   0 1 2
            #   3 4 5
            #   6 7 8
            minimum = im.filter(ImageFilter.MinFilter).getpixel((1, 1))
            med = im.filter(ImageFilter.MedianFilter).getpixel((1, 1))
            maximum = im.filter(ImageFilter.MaxFilter).getpixel((1, 1))
            return minimum, med, maximum

        self.assertEqual(rankfilter("1"), (0, 4, 8))
        self.assertEqual(rankfilter("L"), (0, 4, 8))
        self.assertRaises(ValueError, rankfilter, "P")
        self.assertEqual(rankfilter("RGB"), ((0, 0, 0), (4, 0, 0), (8, 0, 0)))
        self.assertEqual(rankfilter("I"), (0, 4, 8))
        self.assertEqual(rankfilter("F"), (0.0, 4.0, 8.0))
Example #3
Source File: fuck12306.py    From fuck12306 with MIT License 6 votes vote down vote up 
def pre_ocr_processing(im):
    im = im.convert("RGB")
    width, height = im.size

    white = im.filter(ImageFilter.BLUR).filter(ImageFilter.MaxFilter(23))
    grey = im.convert('L')
    impix = im.load()
    whitepix = white.load()
    greypix = grey.load()

    for y in range(height):
        for x in range(width):
            greypix[x,y] = min(255, max(255 + impix[x,y][0] - whitepix[x,y][0],
                                        255 + impix[x,y][1] - whitepix[x,y][1],
                                        255 + impix[x,y][2] - whitepix[x,y][2]))

    new_im = grey.copy()
    binarize(new_im, 150)
    return new_im
Example #4
Source File: test_image_filters.py    From pliers with BSD 3-Clause "New" or "Revised" License 6 votes vote down vote up 
def test_pillow_image_filter_filter():
    stim = ImageStim(join(IMAGE_DIR, 'thai_people.jpg'))
    with pytest.raises(ValueError):
        filt = PillowImageFilter()
    filt = PillowImageFilter('BLUR')
    blurred = filt.transform(stim)
    assert blurred is not None

    from PIL import ImageFilter
    filt2 = PillowImageFilter(ImageFilter.FIND_EDGES)
    edges = filt2.transform(stim)
    assert np.array_equal(edges.data[0, 0], [134, 85, 45])

    filt3 = PillowImageFilter(ImageFilter.MinFilter(3))
    min_img = filt3.transform(stim)
    assert np.array_equal(min_img.data[0, 0], [122, 74, 36])

    filt4 = PillowImageFilter('MinFilter')
    min_img = filt4.transform(stim)
    assert np.array_equal(min_img.data[0, 0], [122, 74, 36])

    filt5 = PillowImageFilter(ImageFilter.MaxFilter, size=3)
    med_img = filt5.transform(stim)
    assert np.array_equal(med_img.data[0, 0], [136, 86, 49])
Example #5
Source File: transforms.py    From revolver with BSD 2-Clause "Simplified" License 5 votes vote down vote up 
def __call__(self, arr):
        for i in range(arr.shape[0]):
            arr[i, ...] = np.array(Image.fromarray(arr[i, ...]).filter(ImageFilter.MaxFilter(self.fs)), dtype=arr.dtype)
        return arr