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Popravil 3b

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Gasper Spagnolo 2022-11-04 15:43:18 +01:00
parent ab95afdea7
commit 1186b8c982
2 changed files with 9 additions and 11 deletions
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assignment2/solution.py
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@ -186,11 +186,10 @@ def one_e(distances: list, selected_dists: list):
############################ ############################
def ex2(): def ex2():
#two_b() two_b()
#two_c() two_d()
two_e() two_e()
def two_b(): def two_b():
""" """
Implement the function simple_convolution that uses a 1-D signal I and a kernel Implement the function simple_convolution that uses a 1-D signal I and a kernel
@ -289,7 +288,7 @@ def two_e():
# EXCERCISE 3: Image Filtering # # EXCERCISE 3: Image Filtering #
################################ ################################
def ex3(): def ex3():
#three_a() three_a()
three_b() three_b()
def three_a(): def three_a():
@ -341,18 +340,17 @@ def three_b():
Convolution can also be used for image sharpening. Look at its definition in the Convolution can also be used for image sharpening. Look at its definition in the
lecture slides and implement it. Test it on the image from file museum.jpg. lecture slides and implement it. Test it on the image from file museum.jpg.
""" """
museum_grayscale = cv2.imread('./data/images/museum.jpg', 0) museum_grayscale = uz_image.imread_gray('./data/images/museum.jpg', uz_image.ImageType.uint8)
#https://blog.demofox.org/2022/02/26/image-sharpening-convolution-kernels/ #https://blog.demofox.org/2022/02/26/image-sharpening-convolution-kernels/ # Pa tui na slajdih lepo pise
# Pa tui na slajdih lepo pise
kernel = np.array([[-1, -1, -1], kernel = np.array([[-1, -1, -1],
[-1, 17, -1], [-1, 17, -1],
[-1, -1,-1]]) [-1, -1,-1]])
kernel = kernel * 1./9. kernel = kernel * 1./9.
museo = cv2.filter2D(museum_grayscale, cv2.CV_64F, kernel) museo = cv2.filter2D(museum_grayscale, -1, kernel)
museo = cv2.filter2D(museo, cv2.CV_64F, kernel.T)
fig, axs = plt.subplots(1, 2) fig, axs = plt.subplots(1, 2)
axs[0].imshow(museum_grayscale, cmap='gray') axs[0].imshow(museum_grayscale, cmap='gray')
@ -369,8 +367,8 @@ def three_b():
def main(): def main():
#ex1() #ex1()
ex2() #ex2()
# ex3() ex3()
if __name__ == '__main__': if __name__ == '__main__':
main() main()