如何对图像时间序列中的等高线进行一致编号？

import cv2

def preprocess_image(image):
    # 示例：简单的灰度化和高斯模糊
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    blurred = cv2.GaussianBlur(gray, (5, 5), 0)
    return blurred

def extract_contours(image):
    edges = cv2.Canny(image, 100, 200)
    contours, _ = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    return contours

def assign_unique_ids(contours_list):
    unique_ids = {}
    id_counter = 0
    for contours in contours_list:
        for contour in contours:
            contour_hash = hash(tuple(contour.flatten()))
            if contour_hash not in unique_ids:
                unique_ids[contour_hash] = id_counter
                id_counter += 1
            yield unique_ids[contour_hash], contour

def process_time_series(images):
    all_contours = []
    for image in images:
        preprocessed_image = preprocess_image(image)
        contours = extract_contours(preprocessed_image)
        all_contours.append(contours)
    
    unique_contours = list(assign_unique_ids(all_contours))
    return unique_contours

import cv2
import numpy as np

# 假设images是一个包含多张图像的列表
images = [...]

unique_contours = process_time_series(images)

for id, contour in unique_contours:
    print(f"Contour ID: {id}, Points: {contour}")