LSSTApplications  16.0-11-g09ed895+2,16.0-11-g12e47bd,16.0-11-g9bb73b2+6,16.0-12-g5c924a4+6,16.0-14-g9a974b3+1,16.0-15-g1417920+1,16.0-15-gdd5ca33+1,16.0-16-gf0259e2,16.0-17-g31abd91+7,16.0-17-g7d7456e+7,16.0-17-ga3d2e9f+13,16.0-18-ga4d4bcb+1,16.0-18-gd06566c+1,16.0-2-g0febb12+21,16.0-2-g9d5294e+69,16.0-2-ga8830df+6,16.0-20-g21842373+7,16.0-24-g3eae5ec,16.0-28-gfc9ea6c+4,16.0-29-ge8801f9,16.0-3-ge00e371+34,16.0-4-g18f3627+13,16.0-4-g5f3a788+20,16.0-4-ga3eb747+10,16.0-4-gabf74b7+29,16.0-4-gb13d127+6,16.0-49-g42e581f7+6,16.0-5-g27fb78a+7,16.0-5-g6a53317+34,16.0-5-gb3f8a4b+87,16.0-6-g9321be7+4,16.0-6-gcbc7b31+42,16.0-6-gf49912c+29,16.0-7-gd2eeba5+51,16.0-71-ge89f8615e,16.0-8-g21fd5fe+29,16.0-8-g3a9f023+20,16.0-8-g4734f7a+1,16.0-8-g5858431+3,16.0-9-gf5c1f43+8,master-gd73dc1d098+1,w.2019.01
LSSTDataManagementBasePackage
image2.cc
// -*- lsst-c++ -*-
/*
* 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::Image<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 = y;
}
}
//
// 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;
}