Contours ढूँढना

Python में इमेज प्रोसेसिंग

Rebeca Gonzalez

Data Engineer

Contours ढूँढना

आकार मापें
आकृतियाँ वर्गीकृत करें
ऑब्जेक्ट्स की संख्या तय करें

डोमिनो टोकन्स में कुल पॉइंट्स: 29.

बाइनरी इमेजेज

हम thresholding या edge detection लगाकर बाइनरी इमेज पा सकते हैं

scikit-image से contours ढूँढें

इमेज तैयार करना

इमेज को 2D ग्रेस्केल में बदलें।

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

scikit-image से contours ढूँढें

इमेज तैयार करना

इमेज को बाइनराइज़ करें

# Obtain the thresh value
thresh = threshold_otsu(image)

# Apply thresholding
thresholded_image = image > thresh

scikit-image से contours ढूँढें

फिर find_contours() प्रयोग करें।

# 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)

स्थिर लेवल वैल्यू

Contours पहचानने के स्टेप्स

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)

Contours पहचानने के स्टेप्स

नतीजा

किसी contour का shape

Contours: (n,2) की लिस्ट - ndarrays.

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)

किसी contour का shape

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)

किसी contour का shape

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)

किसी contour का shape

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)

किसी contour का shape

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

डॉट्स की संख्या: 7.

अभ्यास करते हैं!

Python में इमेज प्रोसेसिंग