path = "../Images/"
filename = "signature.jpg"
# Opening Image
if len(filename.split('.')) == 2:
image = cv2.imread(path + filename, 0)
# Task 0
filename = path + "bin_" + filename
bin_image = Task0.Binarization(image, filename)
filename = filename.split('/')[-1]
# Task 1
height, width = bin_image.shape
filename = path + "box_" + filename
top, bottom, left, right = Task1.BoundingBox(bin_image, height, width)
bounding_box_image = cv2.rectangle(bin_image, (top, left), (bottom, right), (0,255,0), 3)
cv2.imwrite(filename, bounding_box_image)
B = (left, right, top, bottom)
filename = filename.split('/')[-1]
# Task 2
filename = path + "cen_" + filename
cx, cy = Task2.FindCentroid(bin_image, 0, bin_image.shape[1], 0, bin_image.shape[0])
centroid_image = cv2.circle(bounding_box_image, (cy, cx), 10, 200, -1)
cv2.imwrite(filename, centroid_image)
C = (cx, cy)
filename = filename.split('/')[-1]
filename = "signature.jpg"
# Opening Image
if len(filename.split('.')) == 2:
image = cv2.imread(filename, 0)
# Task 0
filename = "bin_" + filename
bin_image = Task0.Binarization(image, filename)
# cv2.imshow("Binarization", bin_image)
# Task 1
width, height = bin_image.shape
filename = "box_" + filename
top, bottom, left, right, bounding_box_image = Task1.BoundingBox(width, height, bin_image, filename)
B = (left, right, top, bottom)
# cv2.imshow("Bounding Box", bounding_box_image)
# Task 2
filename = "cen_" + filename
centroid_image, cx, cy = Task2.FindCentroid(width, height, bin_image, bounding_box_image, filename)
C = (cx, cy)
# cv2.imshow("Centroid", centroid_image)
# Task 3
cx = int(cx)
cy = int(cy)
filename = "seg_" + filename
top_left, bottom_left, top_right, bottom_right, segmented_image = Task3.DivideBoundingBox(centroid_image, top, bottom, left, right, cx, cy, filename)
