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Przetwarzanie obrazów w Pythonie

Rebeca Gonzalez

Data Engineer

Wykrywanie narożników

Punkty zainteresowania

Narożniki

Dopasowywanie narożników

Detektor narożników Harrisa

from skimage.feature import corner_harris


# Convert image to grayscale
image = rgb2gray(image)


# Apply the Harris corner detector on the image
measure_image = corner_harris(image)


# Show the Harris response image
show_image(measure_image)

Detektor narożników Harrisa

# Finds the coordinates of the corners 
coords = corner_peaks(corner_harris(image), min_distance=5)


print("A total of", len(coords), "corners were detected.")

A total of 122 corners were found from measure response image.

Wykryte narożniki

# Show image with marks in detected corners
show_image_with_detected_corners(image, coords)

Wyświetlanie obrazu z konturami

def show_image_with_corners(image, coords, title="Corners detected"):
    plt.imshow(image, interpolation='nearest', cmap='gray')
    plt.title(title)
    plt.plot(coords[:, 1], coords[:, 0], '+r', markersize=15)
    plt.axis('off')
    plt.show()

Czas na ćwiczenia!

Przetwarzanie obrazów w Pythonie