def gen_cell_tuple(para_tuple):
index, cell_ragion = para_tuple
cell_rect = nonzero_rect.analyze_from_center(cell_ragion)
if cell_rect:
cell_ragion = Rect.get_ragion(cell_rect, cell_ragion)
return (index, cell_ragion)
return False
def generate_first_rect(the_ragion):
ragion_height, ragion_width = the_ragion.shape
centroid = Image.centroid(the_ragion)
single_width = int(round(ragion_width*0.16))
single_height = int(round(ragion_height*0.16))
# (single_width, single_height).ppl()
return Rect.cal_center_rect(centroid, single_width, single_width, single_height, single_height)
# the_ragion.mean().ppl()
# the_ragion.ppl()
# thresholded_ragion = Image.threshold_white_with_mean_percent(the_ragion, 0.8)
# thresholded_ragion.ppl()
# Display.image(thresholded_ragion)
file_path = Resource.get_test_path("sample_15_square.jpg")
square_ragion = cv2.imread(file_path, 0)
# square_ragion.mean().ppl()
threshold_value = Ragion.cal_threshold_value(the_ragion, square_ragion, 0.69)
thresholded_ragion = Image.threshold_white(the_ragion, threshold_value)
# thresholded_ragion = cv2.adaptiveThreshold(the_ragion, 255,
# cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY_INV, blockSize=7, C=2)
cell_rect = nonzero_rect.analyze_from_center(thresholded_ragion)
if cell_rect:
cell_ragion = Rect.get_ragion(cell_rect, thresholded_ragion)
cell_rect.pl()
# Display.image(cell_ragion)
file_path = Resource.get_test_path("sample_19_07_05_image.jpg")
the_ragion = cv2.imread(file_path, 0)
# the_ragion.mean().ppl()
file_path = Resource.get_test_path("sample_19_square.jpg")
square_ragion = cv2.imread(file_path, 0)
# square_ragion.mean().ppl()
threshold_value = Ragion.cal_threshold_value(the_ragion, square_ragion, 0.8)
thresholded_ragion = Image.threshold_white(the_ragion, threshold_value)
cell_rect = nonzero_rect.analyze_from_center(thresholded_ragion)
if cell_rect:
def center_rect_enlarge_search(the_ragion):
'''
it has been deprecated, since it will take more time and
cannot get the whole rect in some case.
'''
ragion_height, ragion_width = the_ragion.shape
centroid = Image.centroid(the_ragion)
single_width = int(round(ragion_width*0.18))
single_height = int(round(ragion_height*0.18))
# (single_width, single_height).ppl()
left_x, top_y, edge_width, edge_height = \
Rect.cal_center_rect(centroid, single_width, single_width, single_height, single_height)
right_x = left_x + edge_width - 1
bottom_y = top_y + edge_height - 1
# (left_x, top_y, edge_width, edge_height).ppl()
top_nonzero = True
bottom_nonzero = True
left_nonzero = True
right_nonzero = True
while(top_nonzero or bottom_nonzero or left_nonzero or right_nonzero):
# (left_x, top_y, right_x, bottom_y).ppl()
# (left_nonzero, top_nonzero, right_nonzero, bottom_nonzero).ppl()
# cur_rect = Rect.create(left_x, top_y, right_x, bottom_y)
# Display.rect(the_ragion, cur_rect)
if top_nonzero:
top_nonzero = Rect.has_nonzero((left_x, top_y, right_x-left_x+1, 1),the_ragion)
if top_nonzero:
top_y -= 1
if top_y <= 0:
top_nonzero = False
top_y = -1
if bottom_nonzero:
bottom_nonzero = Rect.has_nonzero((left_x, bottom_y, right_x-left_x+1, 1),the_ragion)
if bottom_nonzero:
bottom_y += 1
if bottom_y >= ragion_height-1:
bottom_nonzero = False
bottom_y = ragion_height
if left_nonzero:
left_nonzero = Rect.has_nonzero((left_x, top_y, 1, bottom_y-top_y+1),the_ragion)
if left_nonzero:
left_x -= 1
if left_x <= 0:
left_nonzero = False
left_x = -1
if right_nonzero:
right_nonzero = Rect.has_nonzero((right_x, top_y, 1, bottom_y-top_y+1),the_ragion)
if right_nonzero:
right_x += 1
if right_x >= ragion_width-1:
right_nonzero = False
right_x = ragion_width
final_top = top_y + 1
final_bottom = bottom_y - 1
final_left = left_x + 1
final_right = right_x - 1
return Rect.create(final_left, final_top, final_right, final_bottom)