OpenCV 图像形态学-腐蚀erode

对比halcon  erosion 可减少light像素，gray_ersion_shape() 灰度图像降低亮度

Halcon图像形态学算法和原理_opening_circle_SSSS的博客的博客-优快云博客

OpenCV 图像形态学-膨胀dilate_SSSS的博客的博客-优快云博客

import cv2
import numpy as np

imgPath = "dog02.jpg"


def test_erode():
    img_src = cv2.imread(imgPath)

    # 主要是掩膜这个参数(70, 70) 做卷积
    kernel = np.ones((70, 70), dtype=np.uint8)
    img_dst = cv2.erode(src=img_src, kernel=kernel, iterations=1)

    cv2.namedWindow("img_src", cv2.WINDOW_KEEPRATIO)
    cv2.namedWindow("img_dst", cv2.WINDOW_KEEPRATIO)
    cv2.imshow('img_src', img_src)
    cv2.imshow('img_dst', img_dst)

    cv2.waitKey(0)
    cv2.destroyAllWindows()


if __name__ == '__main__':
    print(cv2.__version__)

    test_erode()

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