使用 Python 对类似图像的数据执行图像裁剪

Question

I have image-like data. And I wont to perform Image cropping, squishing and zooming, on one or both axis. The problem is that the data is not in between 0-255, and normalizing it to 0-255, would mean loosing a lot of the information I want to preserve. So unfortunately I can't use PIL or cv2 . Is there a easy way to do it with numpy or scipy ?

Thanks for the help

Answer 1

You can crop pictures with simple indexing, like

picture[100:300, 400:800]

To squish or zoom (is that anything more than resizing?), you can just resize with skimage :

from skimage import data, color
from skimage.transform import resize 

image = color.rgb2gray(data.astronaut())

image_resized = resize(image, (image.shape[0] // 4, image.shape[1] // 4),
                       anti_aliasing=True)

Answer 2

检查 Image Librart 的 ImageChops 功能