모퉁이를 돌아서

Python으로 배우는 이미지 처리

Rebeca Gonzalez

Data Engineer

코너 검출

관심 지점

코너

코너 매칭

Harris 코너 검출기

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)

Harris 코너 검출기

# 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.

검출된 코너

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

윤곽선과 함께 표시

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()

연습해 봅시다!

Python으로 배우는 이미지 처리