Pemrosesan Citra dengan Python
Rebeca Gonzalez
Data Engineer


Total titik pada kepingan domino: 29.

Kita dapat memperoleh citra biner dengan menerapkan thresholding atau menggunakan deteksi tepi

Ubah citra ke skala abu-abu 2D.
# Make the image grayscale
image = color.rgb2gray(image)

Binerkan citra
# Obtain the thresh value
thresh = threshold_otsu(image)
# Apply thresholding
thresholded_image = image > thresh

Lalu gunakan find_contours().
# Import the measure module
from skimage import measure
# Find contours at a constant value of 0.8
contours = measure.find_contours(thresholded_image, 0.8)



from skimage import measure from skimage.filters import threshold_otsu # Make the image grayscale image = color.rgb2gray(image)# Obtain the optimal thresh value of the image thresh = threshold_otsu(image) # Apply thresholding and obtain binary image thresholded_image = image > thresh# Find contours at a constant value of 0.8 contours = measure.find_contours(thresholded_image, 0.8)

Kontur: daftar ndarray berdimensi (n, 2).
for contour in contours:
print(contour.shape)
(433, 2)
(433, 2)
(401, 2)
(401, 2)
(123, 2)
(123, 2)
(59, 2)
(59, 2)
(59, 2)
(57, 2)
(57, 2)
(59, 2)
(59, 2)

for contour in contours:
print(contour.shape)
(433, 2)
(433, 2) --> Batas luar
(401, 2)
(401, 2)
(123, 2)
(123, 2)
(59, 2)
(59, 2)
(59, 2)
(57, 2)
(57, 2)
(59, 2)
(59, 2)

for contour in contours:
print(contour.shape)
(433, 2)
(433, 2) --> Batas luar
(401, 2)
(401, 2) --> Batas dalam
(123, 2)
(123, 2)
(59, 2)
(59, 2)
(59, 2)
(57, 2)
(57, 2)
(59, 2)
(59, 2)

for contour in contours:
print(contour.shape)
(433, 2)
(433, 2) --> Batas luar
(401, 2)
(401, 2) --> Batas dalam
(123, 2)
(123, 2) --> Garis pembatas kepingan
(59, 2)
(59, 2)
(59, 2)
(57, 2)
(57, 2)
(59, 2)
(59, 2)

for contour in contours:
print(contour.shape)
(433, 2)
(433, 2) --> Batas luar
(401, 2)
(401, 2) --> Batas dalam
(123, 2)
(123, 2) --> Garis pembatas kepingan
(59, 2)
(59, 2)
(59, 2)
(57, 2)
(57, 2)
(59, 2)
(59, 2) --> Titik
Jumlah titik: 7.
Pemrosesan Citra dengan Python