Python gaussianfilter 예제들

예제 #1

sigma = 4.0
[Gx, x] = gauss_module.gauss(sigma)

plt.figure(1)
plt.plot(x, Gx, '.-')
plt.show()

## function gaussianfilter (Question 1.b)

img = rgb2gray(
    np.array(
        Image.open(
            "/Users/edoardogabrielli/Documents/Università/ComputerScience/FoundationsOfDataScience/fds-2021/A1/Filtering/graf.png"
        )))
smooth_img = gauss_module.gaussianfilter(img, sigma)

plt.figure(2)
ax1 = plt.subplot(1, 2, 1)
ax2 = plt.subplot(1, 2, 2)
plt.sca(ax1)
plt.imshow(img, cmap='gray', vmin=0, vmax=255)
plt.sca(ax2)
plt.imshow(smooth_img, cmap='gray', vmin=0, vmax=255)
plt.show()

## function gaussdx (Question 1.c)

sigma = 4.0
[Gx, x] = gauss_module.gauss(sigma)
[Dx, x] = gauss_module.gaussdx(sigma)

예제 #2

파일: filter.py 프로젝트: frapez1/Advanced-Machine-Learning

## function gauss (Question 1.a)

sigma = 4.0
[Gx, x] = gauss_module.gauss(sigma)

plt.figure(1)
plt.plot(x, Gx, '.-')
plt.show()



## function gaussianfilter (Question 1.b)

img = rgb2gray(np.array(Image.open('graf.png')))
smooth_img = gauss_module.gaussianfilter(img, sigma)

plt.figure(2)
ax1 = plt.subplot(1,2,1)
ax2 = plt.subplot(1,2,2)
plt.sca(ax1)
plt.imshow(img, cmap='gray', vmin=0, vmax=255)
plt.sca(ax2)
plt.imshow(smooth_img, cmap='gray', vmin=0, vmax=255)
plt.show()



## function gaussdx (Question 1.c)

sigma = 4.0