使用python写下opencv的黑白滤镜

import cv2

def find_optimal_threshold(image):
    # 将图像转为灰度图
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    
    # 使用Otsu阈值法计算最佳阈值
    _, threshold = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY+cv2.THRESH_OTSU)
    
    return threshold

# 替换为你的图像路径
image_path = 'path/to/your/image.jpg'

# 读取图像
image = cv2.imread(image_path)

# 寻找最佳阈值
optimal_threshold = find_optimal_threshold(image)

# 显示图像和最佳阈值结果
cv2.imshow("Original", image)
cv2.imshow("Optimal Threshold", optimal_threshold)
cv2.waitKey(0)
cv2.destroyAllWindows()