OpenCV-Python是旨在解決計算機視覺問題的Python綁定庫。cv2.erode()
方法用於對圖像進行腐蝕。侵蝕的基本思想就像僅是土壤侵蝕一樣,它侵蝕了前景物體的邊界(始終嘗試使前景保持白色)。通常在二進製圖像上執行。它需要兩個輸入,一個是我們的原始圖像,第二個是決定操作性質的結構元素或內核。僅當內核下的所有像素均為1時,原始圖像中的像素(1或0)才被視為1,否則它將被侵蝕(設為零)。
用法: cv2.erode(src, kernel[, dst[, anchor[, iterations[, borderType[, borderValue]]]]])
參數:
src: It is the image which is to be eroded .
kernel: A structuring element used for erosion. If element = Mat(), a 3 x 3 rectangular structuring element is used. Kernel can be created using getStructuringElement.
dst: It is the output image of the same size and type as src.
anchor: It is a variable of type integer representing anchor point and it’s default value Point is (-1, -1) which means that the anchor is at the kernel center.
borderType: It depicts what kind of border to be added. It is defined by flags like cv2.BORDER_CONSTANT, cv2.BORDER_REFLECT, etc.
iterations: It is number of times erosion is applied.
borderValue: It is border value in case of a constant border.
返回值: It returns an image.
用於以下所有示例的圖像:
範例1:
# Python program to explain cv2.erode() method
# importing cv2
import cv2
# importing numpy
import numpy as np
# path
path = r'C:\Users\Rajnish\Desktop\geeksforgeeks\geeks.png'
# Reading an image in default mode
image = cv2.imread(path)
# Window name in which image is displayed
window_name = 'Image'
# Creating kernel
kernel = np.ones((5, 5), np.uint8)
# Using cv2.erode() method
image = cv2.erode(image, kernel)
# Displaying the image
cv2.imshow(window_name, image)
輸出:
範例2:
# Python program to explain cv2.erode() method
# importing cv2
import cv2
# importing numpy
import numpy as np
# path
path = r'C:\Users\Rajnish\Desktop\geeksforgeeks\geeks.png'
# Reading an image in default mode
image = cv2.imread(path)
# Window name in which image is displayed
window_name = 'Image'
# Creating kernel
kernel = np.ones((6, 6), np.uint8)
# Using cv2.erode() method
image = cv2.erode(image, kernel, cv2.BORDER_REFLECT)
# Displaying the image
cv2.imshow(window_name, image)
輸出:
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