Images
In LSST, 2-dimensional images are represented using a set of templated classes, all of which are ultimately derived from ImageBase:
- Image : An image of arithmetic type (e.g. short; int; float)
- Mask : An image representing a set of bitplanes
- DecoratedImage : An Image that has associated metadata (e.g. from a FITS header)
- MaskedImage : A combination of an Image, a Mask, and an Image giving the per-pixel variance
- Exposure : A MaskedImage with additional WCS information
You can use displaying images to display Images and their Masks.
How to Access Pixels
Image Pixels may be accessed via iterators or locators; the former are simpler if you want single-pixel access, while the latter provide you with access to a pixel's friends and neighbours. The following tutorials are available:
See also Pixel Access Reference Manual. LSST image access is modelled after the boost::gil image interface; see http://www.boost.org/doc/libs/1_48_0/libs/gil/doc/html/giltutorial.html and http://www.boost.org/doc/libs/1_48_0/libs/gil/doc/html/gildesignguide.html
There are also some algorithms analogous to the STL's <algorithm>; see How to use algorithms to manipulate Images.
Masks
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