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, > > _________________________________________________ > scikit-image mailing list > scikit-image@python.org > https://mail.python.org/mailman/listinfo/scikit-image
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