Python图片数据处理怎么样图找白色区域？

Question

这样一张9000*7000像素的图片该怎么样实现找出两个圆的区域。求大佬

# -*- coding: gbk -*-

import cv2
import numpy as np

image_path = r"C:\Users\17607\Desktop\smls pictures\Pic_20231122151507973.bmp"

def row_method(src):
    image_width = src.shape[1]
    image_height = src.shape[0]
    image = np.array(src)
    cimage = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)  # 灰度图
    circles = cv2.HoughCircles(cimage, cv2.HOUGH_GRADIENT, 1, 40, param1=50, param2=30, minRadius=0, maxRadius=0)
    circles = np.uint16(np.around(circles))  # 取整
    for i in circles[0, :]:
        center_x, center_y, radius = i[0], i[1], i[2]
        if 0 <= center_x - radius < image_width and 0 <= center_x + radius < image_width and \
               0 <= center_y - radius < image_height and 0 <= center_y + radius < image_height:
                cv2.circle(image, (i[0], i[1]), i[2], (0, 0, 255), 2)  # 在原图上画圆，圆心，半径，颜色，线框
                cv2.circle(image, (i[0], i[1]), 2, (255, 0, 0), 2)  # 画圆心
    cv2.putText(image, "param1=250, param2=58", (20, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (0, 0, 255), 2)
    cv2.imshow("row_circles", image)


src = cv2.imread(image_path)  # 读取图片位置
resized_image = cv2.resize(src, (src.shape[1] // 10, src.shape[0] // 10))
cv2.namedWindow("input image", cv2.WINDOW_AUTOSIZE)
cv2.imshow("input image", resized_image)
threshold_OTSU_method(resized_image)
row_method(resized_image)
cv2.waitKey(0)
cv2.destroyAllWindows()

这个只能得到有很多没用信息希望能得到这两个区域。。求大佬