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LSSTApplications  18.0.0+106,18.0.0+50,19.0.0,19.0.0+1,19.0.0+10,19.0.0+11,19.0.0+13,19.0.0+17,19.0.0+2,19.0.0-1-g20d9b18+6,19.0.0-1-g425ff20,19.0.0-1-g5549ca4,19.0.0-1-g580fafe+6,19.0.0-1-g6fe20d0+1,19.0.0-1-g7011481+9,19.0.0-1-g8c57eb9+6,19.0.0-1-gb5175dc+11,19.0.0-1-gdc0e4a7+9,19.0.0-1-ge272bc4+6,19.0.0-1-ge3aa853,19.0.0-10-g448f008b,19.0.0-12-g6990b2c,19.0.0-2-g0d9f9cd+11,19.0.0-2-g3d9e4fb2+11,19.0.0-2-g5037de4,19.0.0-2-gb96a1c4+3,19.0.0-2-gd955cfd+15,19.0.0-3-g2d13df8,19.0.0-3-g6f3c7dc,19.0.0-4-g725f80e+11,19.0.0-4-ga671dab3b+1,19.0.0-4-gad373c5+3,19.0.0-5-ga2acb9c+2,19.0.0-5-gfe96e6c+2,w.2020.01
LSSTDataManagementBasePackage
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Images

Images

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.

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