Hey Claiborne, You can use transform.rescale (instead of resize) to scale by a given factor. You can use order=0 to ensure a binary image. That will give you the zoomed-in blocks without the grayscale. To get smoothing, I would try one of two things:  - get the blocky image, then apply a binary closing with a disk of radius 2-4; or  - rescale with order>2 and then threshold the image to get a binary image again. I'm not sure whether either of these will give you a nice enough result, though. But, give it a try! On Fri, Apr 24, 2015 at 8:59 AM, Claiborne Morton <claiborne.morton@gmail.com> wrote:

Hey guys, I was wondering if there is a way to resample images in Scikit Image. Im not even sure that is the correct terminology for what I am trying to do? Basically my goal is to increase the size of images by a factor of 4. My goal is to smooth the edges of shapes within my images, by increasing the number of pixels. I have tried doing this using the resize function but I end up with the same rough edges, just on a larger scale. Also the images I am working with are binary, and I would like this to remain when the image is expanded. I have tried doing this using resize, but the result is an image with grayscale pixels, and the rough edges are only magnified. Some time in the past I was able to get these result using Fiji and Preview (mac), but am not exactly sure how. I have attached both a zoomed image of the resize function as well as a zoom on the results I have made in the past. Also attached is the images that I am trying to multiply by a factor of 4 (binary_filled_bp). Sorry for the confusing post. Please let me know if I can clear anything up! Thanks Clay -- You received this message because you are subscribed to the Google Groups "scikit-image" group. To unsubscribe from this group and stop receiving emails from it, send an email to scikit-image+unsubscribe@googlegroups.com. For more options, visit https://groups.google.com/d/optout.