Hi Adam On Nov 23, 2013 12:33 AM, "Adam Hughes" <hughesadam87@gmail.com> wrote:

3. If possible, removing the ROI from the original image, and splicing

the original image back together. If this is possible, that would be amazing. This would allow us to effectively cut out regions of our images that are obviously contaminates. Yes, this is possible. It is also known as Image Inpainting. There are two algorithm implementations for the same, although they haven't yet been merged. Fast Marching Algorithm: (Fast, introduce some blurriness) Here is the dev branch: https://github.com/chintak/scikit-image/tree/inpaint PR for it: https://github.com/scikit-image/scikit-image/pull/663 Exemplar based Inpainting: (Slower, very accurate for repeating patterns, reconstructs using sample image patches from the image) Dev branch: https://github.com/chintak/scikit-image/tree/inpaint_exemplar PR: https://github.com/scikit-image/scikit-image/pull/706 For the first one, a skimage.viewer plugin is also there: ``viewer_examples/plugins/demo_inpaint.py`` Regarding your first 2 points, Josh shed some light on how you can do this using `skim age.viewer`. An interesting thread regarding interactive image manipulation in iPython notebook came up lately which might interest you: https://groups.google.com/forum/#!topic/scikit-image/vrPzanJ42rs. I'm not sure if you can select an ROI in the image, but that'd be worth checking out. If we can't directly select a rectangular region then probably defining 4 sliders in the widget: left, right, top, bottom, and moving them around to select the ROI. Chintak