如何在Python中处理大尺寸图片以查找白色区域中的圆形区域？

import cv2
import numpy as np

image_path = r"C:\Users\17607\Desktop\smls pictures\Pic_20231122151507973.bmp"  # 请替换为你的图片路径

def detect_circles(image_path):
    # 读取图像
    img = cv2.imread(image_path)
    # 缩放图像 (调整缩放比例根据实际情况修改)
    img = cv2.resize(img, (img.shape[1] // 10, img.shape[0] // 10))
    # 转换为灰度图像
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    # 二值化处理 (调整阈值根据实际情况修改)
    _, thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)
    # 霍夫圆变换 (调整参数根据实际情况修改)
    circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, 40, param1=50, param2=30, minRadius=0, maxRadius=0)

    if circles is not None:
        circles = np.round(circles[0, :]).astype("int")
        for (x, y, r) in circles:
            # 筛选位于白色区域的圆形 (调整阈值根据实际情况修改)
            if np.mean(thresh[y - r:y + r, x - r:x + r]) > 200:
                cv2.circle(img, (x, y), r, (0, 255, 0), 2)  # 画出圆圈
                cv2.circle(img, (x, y), 2, (0, 0, 255), 3)  # 画出圆心
    return img

result_image = detect_circles(image_path)
cv2.imshow("Detected Circles", result_image)
cv2.waitKey(0)
cv2.destroyAllWindows()