if (bands != 3):
print("Input image is not a standard color image:", inputImage)
sys.exit()
W1 = round(w1 * (cols - 1))
H1 = round(h1 * (rows - 1))
W2 = round(w2 * (cols - 1))
H2 = round(h2 * (rows - 1))
# Cut out target region
image1 = inputImage[H1:H2 + 1, W1:W2 + 1, :]
# Change color space
image2 = cv2.cvtColor(image1, cv2.COLOR_BGR2XYZ)
# Illumination stretching
image3 = np.copy(image2)
image3[:, :, 1] = linear_stretching(image2[:, :, 1]) # Y
# Convert back to BGR
check_range(image3) # check range
image4 = cv2.cvtColor(image3, cv2.COLOR_XYZ2BGR)
check_range(image4) # check range
# Copy back to outputImage
outputImage = np.copy(inputImage)
for i in range(H1, H2 + 1):
for j in range(W1, W2 + 1):
outputImage[i, j] = image4[i - H1, j - W1]
# Show image
cv2.imshow((sys.argv[0]).replace(".py", ""), outputImage)
# Save image
cv2.imwrite(name_output, outputImage)
if (bands != 3):
print("Input image is not a standard color image:", inputImage)
sys.exit()
W1 = round(w1 * (cols - 1))
H1 = round(h1 * (rows - 1))
W2 = round(w2 * (cols - 1))
H2 = round(h2 * (rows - 1))
# Cut out target region
image1 = inputImage[H1:H2 + 1, W1:W2 + 1, :]
# Change color space
image2 = cv2.cvtColor(image1, cv2.COLOR_BGR2Luv)
# Illumination stretching
image3 = np.copy(image2)
image3[:, :, 0] = linear_stretching(image2[:, :, 0]) # L
# Convert back to BGR
check_range(image3) # check range
image4 = cv2.cvtColor(image3, cv2.COLOR_Luv2BGR)
check_range(image4) # check range
# Copy back to outputImage
outputImage = np.copy(inputImage)
for i in range(H1, H2 + 1):
for j in range(W1, W2 + 1):
outputImage[i, j] = image4[i - H1, j - W1]
# Show image
cv2.imshow((sys.argv[0]).replace(".py", ""), outputImage)
# Save image
cv2.imwrite(name_output, outputImage)