def calc_simetry(image):
'''Calculates leaf simerty.'''
_, _, rect_points = f.find_rect(image, keep_original=True)
middle_points = [
] #Array of points that represent the centers of all four sides of the rectangle
#Calculate middle poitns
for poin_index in range(len(rect_points)):
next_point_index = (poin_index + 1) % 4
point1 = rect_points[poin_index]
point2 = rect_points[next_point_index]
x = int((point1[0] + point2[0]) / 2)
y = int((point1[1] + point2[1]) / 2)
middle_point = [x, y]
middle_points.append(middle_point)
#Initiation
segments = [] #Segments of leafs
segment_areas = [] #Areas of leaf segments
simetries = [] #Simetries (rectangles) of leafs
thresh = f.find_thresh(image)
#Create al the simetries (right, left, bottom, top)
simetries.append(
np.array([
rect_points[0], middle_points[0], middle_points[2], rect_points[3]
]))
simetries.append(
np.array([
middle_points[0], rect_points[1], rect_points[2], middle_points[2]
]))
simetries.append(
np.array([
rect_points[0], rect_points[1], middle_points[1], middle_points[3]
]))
simetries.append(
np.array([
middle_points[3], middle_points[1], rect_points[2], rect_points[3]
]))
#Calculates the segments and the areas
for sim in simetries:
canvas = np.zeros((image.shape[0], image.shape[1], 1), dtype=np.uint8)
cv2.fillPoly(canvas, pts=[sim], color=(255, 255, 255))
segments.append(cv2.bitwise_and(thresh, canvas))
area = cv2.countNonZero(canvas)
segment_areas.append(area)
#Calculate the simery
tb_simetry = segment_areas[3] / segment_areas[2]
rl_simetry = segment_areas[1] / segment_areas[0]
simetry = tb_simetry * rl_simetry
#Return simetry
return simetry
def calc_hw_ratio(image):
'''Calculates height-width ratio of a leaf.'''
#Calculates the height and the width
_, rect, _ = f.find_rect(image)
height = rect[1][0]
width = rect[1][1]
#Returns ratio
return height / width
def calc_cw_ratio(image):
'''Calculates ratio betwen circumference of
eclosing circle ant the width of the leaf.'''
#Calculates circumference of the enclosing circle
encl_circ = calc_encl_circumference(image)
#Calculates the width of the leaf
_, rect, _ = f.find_rect(image)
width = rect[1][1]
#Return ratio
return encl_circ / width
def calc_ch_ratio(image):
'''Calculates ratio betwen circumference of
eclosing circle ant the height of the leaf.'''
#Calculates circumference of the enclosing circle
encl_circ = calc_encl_circumference(image)
#Calculates the height of the leaf
_, rect, _ = f.find_rect(image)
height = rect[1][0]
#Returns the ratio
return encl_circ / height
def calc_rectangularity(image):
'''Calculates the rectangularity of a leaf.'''
#Calculates enclosing rectangle area
_, rect, _ = f.find_rect(image)
rect_area = rect[1][0] * rect[1][1]
#Calculate leaf area
leaf_area = calc_leaf_area(image)
#Calculate rectangularity in procentage
rectangularity = (leaf_area / rect_area) * 100
return rectangularity
def calc_center_distance_ratio(image):
'''Calculates the ratio between the circumference
of the enclosing circle and the distance between the centers
of the enclosing circle and rectangel.'''
#Calculates circumference of the enclosing circle
encl_circ = calc_encl_circumference(image)
#Calulate centers
_, _, encl = f.find_encl(image, keep_original=True)
_, _, rect = f.find_rect(image, keep_original=True)
encl_center = encl[0]
rect_center = rect[0]
#Calulate distance
distance = sqrt(
pow(encl_center[0] - rect_center[0], 2) +
pow(encl_center[1] - rect_center[1], 2))
#Returns ratio
return encl_circ / distance