Advice on basic operations: zoom, crop and splice

[Adam Hughes]

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 
javascript background.  Stefan, any idea how much javascript competency one 
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 
> array/image.
> 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. 
>
> Thanks.
>
>
>
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