我如何向量化下面的python代码(图像转换)？

import numpy as np
import cv2

# 原始的非向量化代码
def image_conversion(images):
    results = []
    for image in images:
        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
        blurred = cv2.GaussianBlur(gray, (5, 5), 0)
        thresholded = cv2.threshold(blurred, 127, 255, cv2.THRESH_BINARY)[1]
        results.append(thresholded)
    return results

# 生成随机图像数据
images = np.random.randint(0, 255, size=(100, 100, 3), dtype=np.uint8)

# 调用非向量化的代码进行图像转换
output = image_conversion(images)

import numpy as np
import cv2

# 向量化后的代码
def image_conversion(images):
    gray = cv2.cvtColor(images, cv2.COLOR_BGR2GRAY)
    blurred = cv2.GaussianBlur(gray, (5, 5), 0)
    thresholded = cv2.threshold(blurred, 127, 255, cv2.THRESH_BINARY)[1]
    return thresholded

# 生成随机图像数据
images = np.random.randint(0, 255, size=(100, 100, 3), dtype=np.uint8)

# 调用向量化的代码进行图像转换
output = image_conversion(images)