Python ImageFilter.MedianFilter方法代碼示例

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import MedianFilter [as 別名]
def median_filter(self, size):
    """ Calculates a multidimensional median filter

    Parameters
    ----------
    size: int
	The kernel size in pixels.

    Returns
    ----------
    The median filtered image.
    """
    from PIL import Image, ImageFilter
    image = Image.fromarray(self.Image)
    image = image.filter(ImageFilter.MedianFilter(size=size))
    return np.array(image) 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import MedianFilter [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)) 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import MedianFilter [as 別名]
def detect_gf_result(image_path):
    from PIL import ImageFilter, Image
    import pytesseract
    img = Image.open(image_path)
    for x in range(img.width):
        for y in range(img.height):
            if img.getpixel((x, y)) < (100, 100, 100):
                img.putpixel((x, y), (256, 256, 256))
    gray = img.convert('L')
    two = gray.point(lambda x: 0 if 68 < x < 90 else 256)
    min_res = two.filter(ImageFilter.MinFilter)
    med_res = min_res.filter(ImageFilter.MedianFilter)
    for _ in range(2):
        med_res = med_res.filter(ImageFilter.MedianFilter)
    res = pytesseract.image_to_string(med_res, config='-psm 6')
    return res.replace(' ', '') 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import MedianFilter [as 別名]
def detect_gf_result(image_path):
    from PIL import ImageFilter, Image

    img = Image.open(image_path)
    if hasattr(img, "width"):
        width, height = img.width, img.height
    else:
        width, height = img.size
    for x in range(width):
        for y in range(height):
            if img.getpixel((x, y)) < (100, 100, 100):
                img.putpixel((x, y), (256, 256, 256))
    gray = img.convert("L")
    two = gray.point(lambda p: 0 if 68 < p < 90 else 256)
    min_res = two.filter(ImageFilter.MinFilter)
    med_res = min_res.filter(ImageFilter.MedianFilter)
    for _ in range(2):
        med_res = med_res.filter(ImageFilter.MedianFilter)
    return invoke_tesseract_to_recognize(med_res) 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import MedianFilter [as 別名]
def test_median_filter(self):
    #Check median filter
    from PIL import Image, ImageFilter
    dt = DataTransforms(self.d)
    filtered = dt.median_filter(size=3)
    image = Image.fromarray(self.d)
    image = image.filter(ImageFilter.MedianFilter(size=3))
    check_filtered = np.array(image)
    assert np.allclose(check_filtered, filtered) 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import MedianFilter [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") 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import MedianFilter [as 別名]
def vcode(self):

        # 獲取校驗碼
        r = self._session.get('https://trade.gf.com.cn/yzm.jpgx')
        r.raise_for_status()

        # 通過內存保存圖片，進行識別
        img_buffer = BytesIO(r.content)
        img = Image.open(img_buffer)
        if hasattr(img, "width"):
            width, height = img.width, img.height
        else:
            width, height = img.size
        for x in range(width):
            for y in range(height):
                if img.getpixel((x, y)) < (100, 100, 100):
                    img.putpixel((x, y), (256, 256, 256))

        gray = img.convert('L')
        two = gray.point(lambda x: 0 if 68 < x < 90 else 256)
        min_res = two.filter(ImageFilter.MinFilter)
        med_res = min_res.filter(ImageFilter.MedianFilter)
        for _ in range(1):
            med_res = med_res.filter(ImageFilter.MedianFilter)

        # 通過tesseract-ocr的工具進行校驗碼識別
        vcode = pytesseract.image_to_string(med_res)
        img.close()
        img_buffer.close()

        vcode = vcode.replace(' ', '')
        if self.code_rule.findall(vcode) != []:
            logger.debug('vcode is: %s' % vcode)
            return vcode
        else:
            raise VerifyCodeError('verify code error: %s' % vcode) 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import MedianFilter [as 別名]
def _blow_up_image():
    try:
        img = Image.open(args.image)
    except FileNotFoundError:
        print(colored("[!] I couldn't find a file by that name. Fake you!",
                      'red'))
        return False
    except OSError:
        print(colored("[!] {} is not an image file!".format(args.image),
                      'red'))
        return False

    basewidth = 2500
    img = Image.open(args.image)
    wpercent = (basewidth / float(img.size[0]))
    hsize = int((float(img.size[1]) * float(wpercent)))
    # Resize happens here
    img = img.resize((basewidth, hsize), Image.ANTIALIAS)

    # Thanks Stack Overflow <3 : https://stackoverflow.com/a/37750605/5486120
    img = img.filter(ImageFilter.MedianFilter())
    enhancer = ImageEnhance.Contrast(img)
    img = enhancer.enhance(2)

    # Return the sexy image object
    return img 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import MedianFilter [as 別名]
def blur_image(pil_img,mode,r):
    if mode == "g":
        kernel = ImageFilter.GaussianBlur(radius=r)
    elif mode == "m":
        kernel = ImageFilter.MedianFilter(size=r)
    else:
        raise ValueError("{} not support".format(mode))
    return pil_img.filter(kernel) 

# 需要導入模塊: from PIL import ImageFilter [as 別名]
# 或者: from PIL.ImageFilter import MedianFilter [as 別名]
def medianfilter(self, image, size=3):
        return image.filter(ImageFilter.MedianFilter(size=size))