LSSTApplications  17.0+124,17.0+14,17.0+73,18.0.0+37,18.0.0+80,18.0.0-4-g68ffd23+4,18.1.0-1-g0001055+12,18.1.0-1-g03d53ef+5,18.1.0-1-g1349e88+55,18.1.0-1-g2505f39+44,18.1.0-1-g5315e5e+4,18.1.0-1-g5e4b7ea+14,18.1.0-1-g7e8fceb+4,18.1.0-1-g85f8cd4+48,18.1.0-1-g8ff0b9f+4,18.1.0-1-ga2c679d+1,18.1.0-1-gd55f500+35,18.1.0-10-gb58edde+2,18.1.0-11-g0997b02+4,18.1.0-13-gfe4edf0b+12,18.1.0-14-g259bd21+21,18.1.0-19-gdb69f3f+2,18.1.0-2-g5f9922c+24,18.1.0-2-gd3b74e5+11,18.1.0-2-gfbf3545+32,18.1.0-26-g728bddb4+5,18.1.0-27-g6ff7ca9+2,18.1.0-3-g52aa583+25,18.1.0-3-g8ea57af+9,18.1.0-3-gb69f684+42,18.1.0-3-gfcaddf3+6,18.1.0-32-gd8786685a,18.1.0-4-gf3f9b77+6,18.1.0-5-g1dd662b+2,18.1.0-5-g6dbcb01+41,18.1.0-6-gae77429+3,18.1.0-7-g9d75d83+9,18.1.0-7-gae09a6d+30,18.1.0-9-gc381ef5+4,w.2019.45
LSSTDataManagementBasePackage
maskedImage2.cc
/*
* LSST Data Management System
* Copyright 2008, 2009, 2010 LSST Corporation.
*
* This product includes software developed by the
* LSST Project (http://www.lsst.org/).
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the LSST License Statement and
* the GNU General Public License along with this program. If not,
* see <http://www.lsstcorp.org/LegalNotices/>.
*/
#include "lsst/geom.h"
namespace image = lsst::afw::image;
typedef image::MaskedImage<int> ImageT;
int main() {
ImageT in(lsst::geom::Extent2I(10, 6));
// Set data to a ramp
for (int y = 0; y != in.getHeight(); ++y) {
for (ImageT::xy_locator ptr = in.xy_at(0, y), end = in.xy_at(in.getWidth(), y); ptr != end;
++ptr.x()) {
*ptr = ImageT::Pixel(y, 0x1, 10);
}
}
//
// Convolve with a pseudo-Gaussian kernel ((1, 2, 1), (2, 4, 2), (1, 2, 1))
//
ImageT out(in.getDimensions()); // Make an output image the same size as the input image
out.assign(in);
for (int y = 1; y != in.getHeight() - 1; ++y) {
for (ImageT::xy_locator ptr = in.xy_at(1, y), end = in.xy_at(in.getWidth() - 1, y),
optr = out.xy_at(1, y);
ptr != end; ++ptr.x(), ++optr.x()) {
*optr = ptr(-1, -1) + 2 * ptr(0, -1) + ptr(1, -1) + 2 * ptr(-1, 0) + 4 * ptr(0, 0) +
2 * ptr(1, 0) + ptr(-1, 1) + 2 * ptr(0, 1) + ptr(1, 1);
}
}
//
// Do the same thing a faster way, using cached_location_t
//
std::shared_ptr<ImageT> out2(new ImageT(in.getDimensions()));
out2->assign(in);
typedef ImageT::const_xy_locator xy_loc;
for (int y = 1; y != in.getHeight() - 1; ++y) {
// "dot" means "cursor location" in emacs
xy_loc dot = in.xy_at(1, y), end = in.xy_at(in.getWidth() - 1, y);
xy_loc::cached_location_t nw = dot.cache_location(-1, -1);
xy_loc::cached_location_t n = dot.cache_location(0, -1);
xy_loc::cached_location_t ne = dot.cache_location(1, -1);
xy_loc::cached_location_t w = dot.cache_location(-1, 0);
xy_loc::cached_location_t c = dot.cache_location(0, 0);
xy_loc::cached_location_t e = dot.cache_location(1, 0);
xy_loc::cached_location_t sw = dot.cache_location(-1, 1);
xy_loc::cached_location_t s = dot.cache_location(0, 1);
xy_loc::cached_location_t se = dot.cache_location(1, 1);
for (ImageT::x_iterator optr = out2->row_begin(y) + 1; dot != end; ++dot.x(), ++optr) {
*optr = dot[nw] + 2 * dot[n] + dot[ne] + 2 * dot[w] + 4 * dot[c] + 2 * dot[e] + dot[sw] +
2 * dot[s] + dot[se];
}
}
//
// Do the same calculation, but set nw etc. outside the loop
//
xy_loc pix11 = in.xy_at(1, 1);
xy_loc::cached_location_t nw = pix11.cache_location(-1, -1);
xy_loc::cached_location_t n = pix11.cache_location(0, -1);
xy_loc::cached_location_t ne = pix11.cache_location(1, -1);
xy_loc::cached_location_t w = pix11.cache_location(-1, 0);
xy_loc::cached_location_t c = pix11.cache_location(0, 0);
xy_loc::cached_location_t e = pix11.cache_location(1, 0);
xy_loc::cached_location_t sw = pix11.cache_location(-1, 1);
xy_loc::cached_location_t s = pix11.cache_location(0, 1);
xy_loc::cached_location_t se = pix11.cache_location(1, 1);
for (int y = 1; y != in.getHeight() - 1; ++y) {
// "dot" means "cursor location" in emacs
xy_loc dot = in.xy_at(1, y), end = in.xy_at(in.getWidth() - 1, y);
for (ImageT::x_iterator optr = out2->row_begin(y) + 1; dot != end; ++dot.x(), ++optr) {
*optr = dot[nw] + 2 * dot[n] + dot[ne] + 2 * dot[w] + 4 * dot[c] + 2 * dot[e] + dot[sw] +
2 * dot[s] + dot[se];
}
}
//
// Normalise the kernel. I.e. divide the smoothed parts of image2 by 16
//
{
ImageT center = ImageT(
*out2,
center /= 16;
}
//
// Clear in using the x_iterator embedded in the locator
//
for (int y = 0; y != in.getHeight(); ++y) {
for (ImageT::xy_x_iterator ptr = in.xy_at(0, y).x(), end = in.xy_at(in.getWidth(), y).x(); ptr != end;
++ptr) {
*ptr = 0;
}
}
//
// Save those images to disk
//
out.writeFits("foo.fits");
out2->writeFits("foo2.fits");
return 0;
}