def get_projection(self, rows_expected=1):
binary = cv2.adaptiveThreshold(
self.image, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY_INV,
Projection.to_odd(self.get_stroke_width(1) * 2), 5)
# th, binary = cv2.threshold(self.image, 127, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)
self.latest_reference_image = binary
binary[binary > 0] = 1
vector = np.sum(binary, axis=1 - self.orientation)
assert len(vector) == self.measurement
return Projection.normalize(vector)
def get_projection(self, rows_expected=1):
binary = cv2.adaptiveThreshold(
self.image,
255,
cv2.ADAPTIVE_THRESH_MEAN_C,
cv2.THRESH_BINARY_INV,
Projection.to_odd(self.get_stroke_width(1) * 2),
5)
# th, binary = cv2.threshold(self.image, 127, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)
self.latest_reference_image = binary
binary[binary > 0] = 1
vector = np.sum(binary, axis=1-self.orientation)
assert len(vector) == self.measurement
return Projection.normalize(vector)
