[scikit-image] the mechanism and implementation of generating a subimage from a large image

[Stefan van der Walt]

Hi wl,



It is unclear whether you want to extract features from each image, or
whether you want to downsample the images to represent the originals.
If you want to downsample, I'd recommend


http://scikit-image.org/docs/dev/api/skimage.transform.html#skimage.transform.downscale_local_mean


otherwise, use e.g., histogram of gradients as features.



Best regards

Stéfan



On Wed, Feb 22, 2017, at 11:04, wine lover wrote:

> Hi All,

> 

> I have a set of image pairs, i.e., {A, A’}, {B, B’}, {C,C’} etc.



> 



> Given an image A, for instance, 256*256, are there any sampling
> mechanisms to generate a small image, i.e., 128*128, that can capture
> the global contexts of original images.  At the same time, I would
> like to keep track information of those sampled pixels. For instance,
> if pixel[I,J] in A is selected, I need to track it because I need to
> select the same pixel of A’.
> 



> In other words, I need to generate a set of smaller image pairs based
> on these large image pairs. The sampling mechanism, however, is based
> on A, B, C, etc; and A’, B’,C’ are just sampled accordingly.
>  



> Are there any skimage functions that I can use? 



> 



> Thanks,



>  



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