def __imageHasContrast(self, image):
colors = image.getcolors()
has_contrast = True
for color_count in colors:
color = color_count[1]
has_contrast = graphics.colorsContrast(color, self.bg_color,
self.contrast_tolerance)
if has_contrast:
break
return has_contrast
def __imageHasContrast(self, image):
colors = image.getcolors()
has_contrast = True
for color_count in colors:
color = color_count[1]
has_contrast = graphics.colorsContrast(color,
self.bg_color,
self.contrast_tolerance)
if has_contrast:
break
return has_contrast
def get_deskew_angle(self, image_orig):
width, height = image_orig.size
resize_ratio = 600 / float(width)
# Convert image to grayscale and resize it for better
# performance
image = image_orig.convert('L')
image = image.resize((int(round(width * resize_ratio)),
int(round(height * resize_ratio))))
width, height = image.size
max_r = int(round(math.sqrt(width**2 + height**2)))
hough_accumulator = {}
for x in range(0, width):
for y in range(0, height - 1):
if y + 1 > height:
break
color = image.getpixel((x, y))
color_below = image.getpixel((x, y + 1))
if graphics.colorsContrast(color, self.bg_color,
self.contrast_tolerance) and \
graphics.colorsContrast(color, color_below,
self.contrast_tolerance):
for r, angle in self.__getDistanceAndAngle(x, y):
if 0 < r < max_r:
vote_value = hough_accumulator.get((r, angle), 0)
hough_accumulator[(r, angle)] = vote_value + 1
if not hough_accumulator:
return 0
max_voted = hough_accumulator.keys()[0]
for r_angle in hough_accumulator:
max_voted_value = hough_accumulator.get(max_voted)
if hough_accumulator[r_angle] > max_voted_value:
max_voted = r_angle
return 90 - max_voted[1]
def get_deskew_angle(self, image_orig):
width, height = image_orig.size
resize_ratio = 600 / float(width)
# Convert image to grayscale and resize it for better
# performance
image = image_orig.convert('L')
image = image.resize((int(round(width * resize_ratio)),
int(round(height * resize_ratio))))
width, height = image.size
max_r = int(round(math.sqrt(width ** 2 + height ** 2)))
hough_accumulator = {}
for x in range(0, width):
for y in range(0, height - 1):
if y + 1 > height:
break
color = image.getpixel((x, y))
color_below = image.getpixel((x, y + 1))
if graphics.colorsContrast(color, self.bg_color,
self.contrast_tolerance) and \
graphics.colorsContrast(color, color_below,
self.contrast_tolerance):
for r, angle in self.__getDistanceAndAngle(x, y):
if 0 < r < max_r:
vote_value = hough_accumulator.get((r, angle), 0)
hough_accumulator[(r, angle)] = vote_value + 1
if not hough_accumulator:
return 0
max_voted = hough_accumulator.keys()[0]
for r_angle in hough_accumulator:
max_voted_value = hough_accumulator.get(max_voted)
if hough_accumulator[r_angle] > max_voted_value:
max_voted = r_angle
return 90 - max_voted[1]
def __windowContrast(self, bgcolor, x, y):
image = self.black_n_white_image
width, height = image.size
image_upper_left_corner_x = x * self.window_size
image_upper_left_corner_y = y * self.window_size
i, j = 1, 1
while j < self.window_size + 1:
if not image_upper_left_corner_y + j < height:
break
while i < self.window_size + 1:
if not image_upper_left_corner_x + i < width:
break
pixel_point = (image_upper_left_corner_x + i,
image_upper_left_corner_y + j)
if graphics.colorsContrast(image.getpixel(pixel_point),
bgcolor, self.contrast_tolerance):
return 1
i += 3
i = 1
j += 3
return 0
def __windowContrast(self, bgcolor, x, y):
image = self.black_n_white_image
width, height = image.size
image_upper_left_corner_x = x * self.window_size
image_upper_left_corner_y = y * self.window_size
i, j = 1, 1
while j < self.window_size + 1:
if not image_upper_left_corner_y + j < height:
break
while i < self.window_size + 1:
if not image_upper_left_corner_x + i < width:
break
pixel_point = (image_upper_left_corner_x + i,
image_upper_left_corner_y + j)
if graphics.colorsContrast(image.getpixel(pixel_point),
bgcolor,
self.contrast_tolerance):
return 1
i += 3
i = 1
j += 3
return 0