Advice on basic operations: zoom, crop and splice

[Adam Hughes]

I made a couple basic utilties:
  zoom, crop, and zoomplot

They're very straightforward, but there was just enough nuance involved 
that working directly with numpy and matplotlib would become a pain.

See the attached notebook and/or pdf.  The PDF was generaged with 
nbconvert, and the image quality is poor.  Feel free to use and distribute 
this; please the ignore the content claim on the title page; it defaults to 
all of our pdfs that we generate with nbconvert.

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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