平滑像素化二进制图像的边缘python代码

import cv2
import numpy as np

def smooth_pixelated_edges(image_path, pixelation_size):
    # 加载图像
    image = cv2.imread(image_path)

    # 将图像调整为指定的像素化大小
    h, w = image.shape[:2]
    temp = cv2.resize(image, (pixelation_size, pixelation_size), interpolation=cv2.INTER_LINEAR)
    pixelated = cv2.resize(temp, (w, h), interpolation=cv2.INTER_NEAREST)

    # 检测图像边缘
    edges = cv2.Canny(image, 100, 200)

    # 平滑边缘
    smoothed_edges = cv2.blur(edges, (pixelation_size, pixelation_size))

    # 将平滑边缘与像素化图像组合
    result = cv2.bitwise_and(pixelated, pixelated, mask=smoothed_edges)

    # 显示结果
    cv2.imshow("Smooth Pixelated Edges", result)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

# 使用示例
image_path = "image.png"  # 输入图像的路径
pixelation_size = 10  # 像素化大小，可以根据需要调整

smooth_pixelated_edges(image_path, pixelation_size)