将图像分割成 m*n 块重叠

Question

目前，我可以分割图像，但无法进行重叠。 重叠逻辑如下图所示。 理想情况下，可以使用范围从 0 到 1 的重叠变量来设置重叠。

import numpy as np
from PIL import Image


rows = 2
columns = 3
overlap = 0.3

def split_image_to_tiles(image):
    tiles = np.array(image)
    tiles = np.array_split(tiles, rows, axis=1)
    tiles = [np.array_split(t, columns, axis=0) for t in tiles]
    tiles = np.array(tiles, dtype='uint8')
    return tiles

def overlap_tiles(tiles):
    for i in range(rows):
        for j in range(columns):
            tile = Image.fromarray(tiles[i][j])
            #overlapping logic
            
            tiles[i][j] = np.array(tile)
    return tiles

if __name__ == '__main__':
    image = Image.open('test')
    tiles = split_image_to_tiles(image)
    overlap_tiles(tiles)
    for i in range(rows):
        for j in range(columns):
            tile = Image.fromarray(tiles[i][j])
            tile.show()

Answer 1

您可以通过以下方式使用view_as_windows ：

from skimage.util.shape import view_as_windows

def split_to_overlapping_windows(image, window_size, stride):    
    image_windows = view_as_windows(image,
                                    window_shape=(window_size, window_size, image.shape[-1]),
                                    step=stride).squeeze()

    window_layout_shape = image_windows.shape[0:2]

    image_windows = image_windows.reshape(-1, *image_windows.shape[2:])

    return image_windows, window_layout_shape

• 快速搜索给了我以下问题：将非常大的图像拆分为重叠的框/块/图块/部分，python，OpenCV可以更好地解决问题，因为view_as_windows非常密集。 （阅读文档中的注释）