Thanks for all of your help guys. I was unaware of image Inpainting, so
thank you Chintak for bringing that fascinating concept to my attention.
Josh, thanks for your help. I am capable enough to do such manipulations
in numpy and matplotlib; hell,I could even just save a zoomed/crop version
of the images of interest. I was certainly interested in doing such
manipulations in the notebook. I wouldn't worry about tweaking the viewer,
as it would just be easier for me to, as I said, do the manipulations in
and save them to separate images.
The discussion that followed was quite interesting, and in line with what I
expected might be the case. It's really great to see the progress of
iPython widgets. I'm fairly competent at traits/chaco, but don't have a
might need to begin to approach this effort?
On Friday, November 22, 2013 2:03:04 PM UTC-5, Adam Hughes wrote:
> Hi everyone,
> I'm used to working with big images of lots of particles. In the
> notebook, I'd like to be able to look at a full image, and then at a zoomed
> in region of interest. A few basic questions come to mind:
> Is there a zoom/crop function or preffered approach to basic
> manipulations of zooming and cropping, or would I have to do this at the
> numpy or matplotlib level? I saw that there's a rectangle function that
> probably would be useful here. Does anyone have any examples or personal
> code built for doing some of these common manipulations? Ideally, I want
> to take the fastest approach to:
> 1. Selecting a rectangular region of interest (ROI).
> 2. Cropping or zooming in on this region, and storing the ROI as its own
> 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.