MTB alignment. Missing main file.

This commit is contained in:
Fedor Morozov 2013-07-12 16:08:06 +04:00
parent 35133df0de
commit 091b48de60

166
modules/photo/src/align.cpp Normal file
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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// copy or use the software.
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//
// License Agreement
// For Open Source Computer Vision Library
//
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#include "opencv2/photo.hpp"
#include "opencv2/imgproc.hpp"
namespace cv
{
static void downsample(Mat& src, Mat& dst)
{
dst = Mat(src.rows / 2, src.cols / 2, CV_8UC1);
int offset = src.cols * 2;
uchar *src_ptr = src.ptr();
uchar *dst_ptr = dst.ptr();
for(int y = 0; y < dst.rows; y ++) {
uchar *ptr = src_ptr;
for(int x = 0; x < dst.cols; x++) {
dst_ptr[0] = ptr[0];
dst_ptr++;
ptr += 2;
}
src_ptr += offset;
}
}
static void buildPyr(Mat& img, std::vector<Mat>& pyr, int maxlevel)
{
pyr.resize(maxlevel + 1);
pyr[0] = img.clone();
for(int level = 0; level < maxlevel; level++) {
downsample(pyr[level], pyr[level + 1]);
}
}
static int getMedian(Mat& img)
{
int channels = 0;
Mat hist;
int hist_size = 256;
float range[] = {0, 256} ;
const float* ranges[] = {range};
calcHist(&img, 1, &channels, Mat(), hist, 1, &hist_size, ranges);
float *ptr = hist.ptr<float>();
int median = 0, sum = 0;
int thresh = img.total() / 2;
while(sum < thresh && median < 256) {
sum += (int)ptr[median];
median++;
}
return median;
}
static void computeBitmaps(Mat& img, Mat& tb, Mat& eb, int exclude_range)
{
int median = getMedian(img);
compare(img, median, tb, CMP_GT);
compare(abs(img - median), exclude_range, eb, CMP_GT);
}
void shiftMat(InputArray _src, Point shift, OutputArray _dst)
{
Mat src = _src.getMat();
if(src.depth() != CV_8U) {
CV_Error(Error::StsBadArg, "Image must have CV_8U depth.");
}
_dst.create(src.size(), src.type());
Mat dst = _dst.getMat();
dst = Mat::zeros(src.size(), src.type());
int width = src.cols - abs(shift.x);
int height = src.rows - abs(shift.y);
Rect dst_rect(max(shift.x, 0), max(shift.y, 0), width, height);
Rect src_rect(max(-shift.x, 0), max(-shift.y, 0), width, height);
src(src_rect).copyTo(dst(dst_rect));
}
Point getExpShift(InputArray _img0, InputArray _img1, int max_bits, int exclude_range)
{
Mat img0 = _img0.getMat();
Mat img1 = _img1.getMat();
if(img0.type() != CV_8UC1 || img1.type() != CV_8UC1) {
CV_Error(Error::StsBadArg, "Images must have CV_8UC1 type.");
}
if(img0.size() != img0.size()) {
CV_Error(Error::StsBadArg, "Image dimensions must be equal.");
}
int maxlevel = (int)(log((double)max(img0.rows, img0.cols)) / log(2.0)) - 1;
maxlevel = min(maxlevel, max_bits - 1);
std::vector<Mat> pyr0;
std::vector<Mat> pyr1;
buildPyr(img0, pyr0, maxlevel);
buildPyr(img1, pyr1, maxlevel);
Point shift(0, 0);
for(int level = maxlevel; level >= 0; level--) {
shift *= 2;
Mat tb1, tb2, eb1, eb2;
computeBitmaps(pyr0[level], tb1, eb1, exclude_range);
computeBitmaps(pyr1[level], tb2, eb2, exclude_range);
int min_err = pyr0[level].total();
Point new_shift(shift);
for(int i = -1; i <= 1; i++) {
for(int j = -1; j <= 1; j++) {
Point test_shift = shift + Point(i, j);
Mat shifted_tb2, shifted_eb2, diff;
shiftMat(tb2, test_shift, shifted_tb2);
shiftMat(eb2, test_shift, shifted_eb2);
bitwise_xor(tb1, shifted_tb2, diff);
bitwise_and(diff, eb1, diff);
bitwise_and(diff, shifted_eb2, diff);
int err = countNonZero(diff);
if(err < min_err) {
new_shift = test_shift;
min_err = err;
}
}
}
shift = new_shift;
}
return shift;
}
};