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LSSTApplications
11.0-13-gbb96280,12.1.rc1,12.1.rc1+1,12.1.rc1+2,12.1.rc1+5,12.1.rc1+8,12.1.rc1-1-g06d7636+1,12.1.rc1-1-g253890b+5,12.1.rc1-1-g3d31b68+7,12.1.rc1-1-g3db6b75+1,12.1.rc1-1-g5c1385a+3,12.1.rc1-1-g83b2247,12.1.rc1-1-g90cb4cf+6,12.1.rc1-1-g91da24b+3,12.1.rc1-2-g3521f8a,12.1.rc1-2-g39433dd+4,12.1.rc1-2-g486411b+2,12.1.rc1-2-g4c2be76,12.1.rc1-2-gc9c0491,12.1.rc1-2-gda2cd4f+6,12.1.rc1-3-g3391c73+2,12.1.rc1-3-g8c1bd6c+1,12.1.rc1-3-gcf4b6cb+2,12.1.rc1-4-g057223e+1,12.1.rc1-4-g19ed13b+2,12.1.rc1-4-g30492a7
LSSTDataManagementBasePackage
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In LSST, 2-dimensional images are represented using a set of templated classes, all of which are ultimately derived from ImageBase:
You can use displaying images to display Images and their Masks.
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.
1.8.5