本文整理匯總了Python中PIL.ImageFilter.MaxFilter方法的典型用法代碼示例。如果您正苦於以下問題：Python ImageFilter.MaxFilter方法的具體用法？Python ImageFilter.MaxFilter怎麽用？Python ImageFilter.MaxFilter使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類PIL.ImageFilter的用法示例。
在下文中一共展示了ImageFilter.MaxFilter方法的5個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_rankfilter
# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import MaxFilter [as 別名]
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)) 示例2: pre_ocr_processing
# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import MaxFilter [as 別名]
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 示例3: test_pillow_image_filter_filter
# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import MaxFilter [as 別名]
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]) 示例4: test_sanity
# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import MaxFilter [as 別名]
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") 示例5: __call__
# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import MaxFilter [as 別名]
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