Hledání kontur

Image Processing in Python

Rebeca Gonzalez

Data Engineer

Hledání kontur

Měření velikosti
Klasifikace tvarů
Určení počtu objektů

Celkový počet bodů na dominech: 29.

Binární obrazy

Binární obraz lze získat pomocí prahování nebo detekce hran

Hledání kontur pomocí scikit-image

Příprava obrazu

Převeďte obraz na 2D ve stupních šedi.

# Make the image grayscale
image = color.rgb2gray(image)

Hledání kontur pomocí scikit-image

Příprava obrazu

Binarizace obrazu

# Obtain the thresh value
thresh = threshold_otsu(image)

# Apply thresholding
thresholded_image = image > thresh

Hledání kontur pomocí scikit-image

Poté použijte 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)

Hodnota konstantní úrovně

Kroky pro detekci kontur

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)

Kroky pro detekci kontur

Výsledek

Tvar kontury

Kontury: seznam (n,2) - ndarray.

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)

Tvar kontury

for contour in contours:
    print(contour.shape)

(433, 2)
(433, 2) --> Outer border
(401, 2)
(401, 2)
(123, 2)
(123, 2)
(59, 2)
(59, 2)
(59, 2)
(57, 2)
(57, 2)
(59, 2)
(59, 2)

Tvar kontury

for contour in contours:
    print(contour.shape)

(433, 2)
(433, 2) --> Outer border
(401, 2)
(401, 2) --> Inner border
(123, 2)
(123, 2) 
(59, 2)
(59, 2)
(59, 2)
(57, 2)
(57, 2)
(59, 2)
(59, 2)

Tvar kontury

for contour in contours:
    print(contour.shape)

(433, 2)
(433, 2) --> Outer border
(401, 2)
(401, 2) --> Inner border
(123, 2)
(123, 2) --> Divisory line of tokens
(59, 2)
(59, 2)
(59, 2)
(57, 2)
(57, 2)
(59, 2)
(59, 2)

Tvar kontury

for contour in contours:
    print(contour.shape)

(433, 2)
(433, 2) --> Outer border
(401, 2)
(401, 2) --> Inner border
(123, 2)
(123, 2) --> Divisory line of tokens
(59, 2)
(59, 2)
(59, 2)
(57, 2)
(57, 2)
(59, 2)
(59, 2) --> Dots

Počet bodů: 7.

Lass uns üben!

Image Processing in Python