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LSST Applications g070148d5b3+33e5256705,g0d53e28543+25c8b88941,g0da5cf3356+2dd1178308,g1081da9e2a+62d12e78cb,g17e5ecfddb+7e422d6136,g1c76d35bf8+ede3a706f7,g295839609d+225697d880,g2e2c1a68ba+cc1f6f037e,g2ffcdf413f+853cd4dcde,g38293774b4+62d12e78cb,g3b44f30a73+d953f1ac34,g48ccf36440+885b902d19,g4b2f1765b6+7dedbde6d2,g5320a0a9f6+0c5d6105b6,g56b687f8c9+ede3a706f7,g5c4744a4d9+ef6ac23297,g5ffd174ac0+0c5d6105b6,g6075d09f38+66af417445,g667d525e37+2ced63db88,g670421136f+2ced63db88,g71f27ac40c+2ced63db88,g774830318a+463cbe8d1f,g7876bc68e5+1d137996f1,g7985c39107+62d12e78cb,g7fdac2220c+0fd8241c05,g96f01af41f+368e6903a7,g9ca82378b8+2ced63db88,g9d27549199+ef6ac23297,gabe93b2c52+e3573e3735,gb065e2a02a+3dfbe639da,gbc3249ced9+0c5d6105b6,gbec6a3398f+0c5d6105b6,gc9534b9d65+35b9f25267,gd01420fc67+0c5d6105b6,geee7ff78d7+a14128c129,gf63283c776+ede3a706f7,gfed783d017+0c5d6105b6,w.2022.47
LSST Data Management Base Package
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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.
1.9.5