def __prepare_for_first_contour_connecting(self):
# cv2.imshow("first", self.cv_image)
dilated_image = Helper.dilate_image(self.cv_image)
# cv2.imshow("first dilate", dilated_image)
# self.steps.append(("con_dilated", dilated_image))
dilated_mask = Helper.convert_image_to_mask(dilated_image)
# cv2.imshow("mask", dilated_mask)
self.steps.append(("con_gray", dilated_mask))
gray_denoised_image = cv2.fastNlMeansDenoising(dilated_mask, None, 5, 7, 21)
self.steps.append(("con_denoised", gray_denoised_image))
# cv2.imshow("denoised", gray_denoised_image)
threshold_image = cv2.adaptiveThreshold(gray_denoised_image,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV, 11, 2)
self.steps.append(("con_threshold", threshold_image))
# cv2.imshow("threshold", threshold_image)
# ERODED = cv2.erode(threshold_image, (2,2), iterations=1)
# cv2.imshow("ERODED", ERODED)
# DILATED = cv2.dilate(ERODED, (2,2), iterations=1)
# cv2.imshow("DILATED", DILATED)
# DENOISED = cv2.fastNlMeansDenoising(threshold_image, None, 5, 7, 21)
# cv2.imshow("DENOISED", DENOISED)
prepared_mask = cv2.bitwise_and(threshold_image, threshold_image, mask=self.image_masks.topo_mask)
self.steps.append(("con_mask", prepared_mask))
cv2.imshow('prepared', prepared_mask)
return prepared_mask
def __prepare_for_second_contour_connecting(self, mask):
reduced_mask = Helper.reduce_image_contours(mask, 1)
self.steps.append(("con_reduced", reduced_mask))
# cv2.imshow("reduced", reduced_mask)
dilated_mask = Helper.dilate_image(reduced_mask)
# self.steps.append(("con_dilated", dilated_mask))
# cv2.imshow("second dilated", dilated_mask)
# Helper.show_images_and_wait([])
return dilated_mask
def __generate_general_color_lines_mask(self, low_range, high_range):
color_range = self.__get_image_in_range_from_hsv(low_range, high_range)
filled_contours = self.__get_filled_contours_from_image(color_range)
contour_mask = Helper.convert_image_to_contour_mask(filled_contours)
dilated = Helper.dilate_image(contour_mask, array=(2, 2))
mask = Helper.reduce_image_contours(dilated,
6,
line_thickness=cv2.FILLED)
return mask
def __generate_black_mask(self):
black_range = self.__get_image_in_range_from_hsv(
MaskGenerator.low_black, MaskGenerator.high_black)
filled_contours = self.__get_filled_contours_from_image(black_range)
contours_mask = Helper.convert_image_to_mask(filled_contours)
dilated = Helper.dilate_image(contours_mask, array=self.dilate_array)
black_mask = Helper.reduce_image_contours(dilated,
6,
line_thickness=cv2.FILLED)
return black_mask
def __generate_blue_mask(self):
blue_range = self.__get_image_in_range_from_hsv(
MaskGenerator.low_blue, MaskGenerator.high_blue)
self.image_masks.steps.append(("blue_range", blue_range))
filled_blue_contours = self.__get_filled_contours_from_image(
blue_range)
self.image_masks.steps.append(("blue_filled", filled_blue_contours))
blue_mask = Helper.convert_image_to_mask(filled_blue_contours)
dilated = Helper.dilate_image(blue_mask, array=(2, 2))
self.image_masks.steps.append(("blue_dilated", dilated))
blue_mask = Helper.reduce_image_contours(dilated,
15,
line_thickness=cv2.FILLED)
return blue_mask
def __generate_red_mask(self):
red_range = self.__get_image_in_range_from_hsv(MaskGenerator.low_red,
MaskGenerator.high_red)
# cv2.imshow("red range", red_range)
filled_contours = self.__get_filled_contours_from_image(red_range)
# cv2.imshow("filled contours", filled_contours)
contours_mask = Helper.convert_image_to_mask(filled_contours)
# cv2.imshow("contours mask", contours_mask)
dilated = Helper.dilate_image(contours_mask, array=self.dilate_array)
# cv2.imshow("dilated", dilated)
reduced = Helper.reduce_image_contours(dilated,
6,
line_thickness=cv2.FILLED)
# cv2.imshow("red range", red_range)
return reduced
