如何按区域排序opencv connectedComponentewithStat？

import cv2

# 读取图像并转换为二值图像
image = cv2.imread('image.png', 0)
ret, binary = cv2.threshold(image, 127, 255, cv2.THRESH_BINARY)

# 连通组件分析
num_labels, labels, stats, centroids = cv2.connectedComponentsWithStats(binary, connectivity=8)

# 按照面积大小进行排序
sorted_indices = sorted(range(1, num_labels), key=lambda x: stats[x, cv2.CC_STAT_AREA], reverse=True)

# 输出排序后的连通组件信息
for i in sorted_indices:
    print(f"Label: {i}, Area: {stats[i, cv2.CC_STAT_AREA]}, Position: {stats[i, cv2.CC_STAT_LEFT]}, {stats[i, cv2.CC_STAT_TOP]}, Size: {stats[i, cv2.CC_STAT_WIDTH]}, {stats[i, cv2.CC_STAT_HEIGHT]}")

# 输出排序后的连通组件标签图像
sorted_labels = labels.copy()
for i, label in enumerate(sorted_indices):
    sorted_labels[labels == label] = i + 1

cv2.imshow('Sorted Labels', sorted_labels)
cv2.waitKey(0)
cv2.destroyAllWindows()