如何在不将整个镜像加载到内存的情况下，将单个tif镜像分块加载到numpy数组中？

import numpy as np
import tifffile

# 打开tif镜像文件
image = tifffile.imread('image.tif')

# 获取图像信息
with tifffile.TiffFile('image.tif') as tif:
    width, height = tif.pages[0].shape
    channels = tif.pages[0].shape[2]

# 定义分块大小
block_size = 256

# 计算分块数量
num_blocks_x = width // block_size
num_blocks_y = height // block_size

# 分块加载图像数据
blocks = []
for i in range(num_blocks_x):
    for j in range(num_blocks_y):
        # 计算当前分块的位置
        x_start = i * block_size
        y_start = j * block_size
        x_end = x_start + block_size
        y_end = y_start + block_size
        
        # 加载当前分块的图像数据
        block = image[x_start:x_end, y_start:y_end, :]
        blocks.append(block)

# 处理分块数据
for block in blocks:
    # 进行进一步处理，例如图像增强、特征提取等操作
    processed_block = process_block(block)