2019-08-08 15:59:15 +00:00
|
|
|
"""
|
|
|
|
PyTest's for Digital Image Processing
|
|
|
|
"""
|
|
|
|
|
|
|
|
import digital_image_processing.edge_detection.canny as canny
|
|
|
|
import digital_image_processing.filters.gaussian_filter as gg
|
|
|
|
import digital_image_processing.filters.median_filter as med
|
|
|
|
import digital_image_processing.filters.sobel_filter as sob
|
|
|
|
import digital_image_processing.filters.convolve as conv
|
|
|
|
import digital_image_processing.change_contrast as cc
|
2019-12-09 02:29:01 +00:00
|
|
|
import digital_image_processing.convert_to_negative as cn
|
2019-08-08 15:59:15 +00:00
|
|
|
from cv2 import imread, cvtColor, COLOR_BGR2GRAY
|
|
|
|
from numpy import array, uint8
|
|
|
|
from PIL import Image
|
|
|
|
|
2019-09-13 11:40:14 +00:00
|
|
|
img = imread(r"digital_image_processing/image_data/lena_small.jpg")
|
2019-08-08 15:59:15 +00:00
|
|
|
gray = cvtColor(img, COLOR_BGR2GRAY)
|
|
|
|
|
2019-12-09 02:29:01 +00:00
|
|
|
# Test: convert_to_negative()
|
|
|
|
def test_convert_to_negative():
|
|
|
|
negative_img = cn.convert_to_negative(img)
|
|
|
|
# assert negative_img array for at least one True
|
|
|
|
assert negative_img.any()
|
|
|
|
|
|
|
|
|
2019-08-08 15:59:15 +00:00
|
|
|
# Test: change_contrast()
|
|
|
|
def test_change_contrast():
|
2019-09-13 11:40:14 +00:00
|
|
|
with Image.open("digital_image_processing/image_data/lena_small.jpg") as img:
|
2019-08-08 15:59:15 +00:00
|
|
|
# Work around assertion for response
|
|
|
|
assert str(cc.change_contrast(img, 110)).startswith(
|
2019-09-13 11:40:14 +00:00
|
|
|
"<PIL.Image.Image image mode=RGB size=100x100 at"
|
2019-08-08 15:59:15 +00:00
|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
# canny.gen_gaussian_kernel()
|
|
|
|
def test_gen_gaussian_kernel():
|
|
|
|
resp = canny.gen_gaussian_kernel(9, sigma=1.4)
|
|
|
|
# Assert ambiguous array
|
|
|
|
assert resp.all()
|
|
|
|
|
|
|
|
|
|
|
|
# canny.py
|
|
|
|
def test_canny():
|
2019-09-13 11:40:14 +00:00
|
|
|
canny_img = imread("digital_image_processing/image_data/lena_small.jpg", 0)
|
2020-01-18 12:24:33 +00:00
|
|
|
# assert ambiguous array for all == True
|
2019-08-08 15:59:15 +00:00
|
|
|
assert canny_img.all()
|
|
|
|
canny_array = canny.canny(canny_img)
|
|
|
|
# assert canny array for at least one True
|
|
|
|
assert canny_array.any()
|
|
|
|
|
|
|
|
|
|
|
|
# filters/gaussian_filter.py
|
|
|
|
def test_gen_gaussian_kernel_filter():
|
|
|
|
assert gg.gaussian_filter(gray, 5, sigma=0.9).all()
|
|
|
|
|
|
|
|
|
|
|
|
def test_convolve_filter():
|
|
|
|
# laplace diagonals
|
|
|
|
Laplace = array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]])
|
|
|
|
res = conv.img_convolve(gray, Laplace).astype(uint8)
|
|
|
|
assert res.any()
|
|
|
|
|
|
|
|
|
|
|
|
def test_median_filter():
|
|
|
|
assert med.median_filter(gray, 3).any()
|
|
|
|
|
|
|
|
|
|
|
|
def test_sobel_filter():
|
|
|
|
grad, theta = sob.sobel_filter(gray)
|
|
|
|
assert grad.any() and theta.any()
|