Metode SLIC Segmentasi Objek

 Metode SLIC Segmentasi Objek

import matplotlib.pyplot as plt

from skimage import data

from skimage import color

from skimage import morphology

from skimage import segmentation

# Input data

img = data.immunohistochemistry()

# Compute a mask

lum = color.rgb2gray(img)

mask = morphology.remove_small_holes(

    morphology.remove_small_objects(

        lum < 0.7, 500),

    500)

mask = morphology.opening(mask, morphology.disk(3))

# SLIC result

slic = segmentation.slic(img, n_segments=200, start_label=1)

# maskSLIC result

m_slic = segmentation.slic(img, n_segments=100, mask=mask, start_label=1)

# Display result

fig, ax_arr = plt.subplots(2, 2, sharex=True, sharey=True, figsize=(10, 10))

ax1, ax2, ax3, ax4 = ax_arr.ravel()

ax1.imshow(img)

ax1.set_title("Origin image")

ax2.imshow(mask, cmap="gray")

ax2.set_title("Mask")

ax3.imshow(segmentation.mark_boundaries(img, slic))

ax3.contour(mask, colors='red', linewidths=1)

ax3.set_title("SLIC")

ax4.imshow(segmentation.mark_boundaries(img, m_slic))

ax4.contour(mask, colors='red', linewidths=1)

ax4.set_title("maskSLIC")

for ax in ax_arr.ravel():

    ax.set_axis_off()

plt.tight_layout()

plt.show()

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