X-Git-Url: http://git.kpe.io/?p=ctsim.git;a=blobdiff_plain;f=libctsim%2Fimagefile.cpp;h=7f1c6a03085a2f9e51a50f32872becbff5296f2b;hp=bcb07e2e75092d42e79cad842f63ea7183ecc2da;hb=08f34bf3ba14d4f436f4d2ef0ee5af1d6eb266ac;hpb=6e9304595677d093974038ffad44f8d54178e741 diff --git a/libctsim/imagefile.cpp b/libctsim/imagefile.cpp index bcb07e2..7f1c6a0 100644 --- a/libctsim/imagefile.cpp +++ b/libctsim/imagefile.cpp @@ -9,7 +9,7 @@ ** This is part of the CTSim program ** Copyright (C) 1983-2000 Kevin Rosenberg ** -** $Id: imagefile.cpp,v 1.3 2000/06/22 10:17:28 kevin Exp $ +** $Id: imagefile.cpp,v 1.4 2000/06/25 17:32:24 kevin Exp $ ** ** This program is free software; you can redistribute it and/or modify ** it under the terms of the GNU General Public License (version 2) as @@ -93,39 +93,39 @@ Array2dFileLabel::getDateString (void) const void -image_filter_response (ImageFile& im, const char* const domainName, double bw, const char* const filterName, double filt_param, const int opt_trace) +ImageFile::filterResponse (const char* const domainName, double bw, const char* const filterName, double filt_param) { - int hx = im.nx() / 2; - int hy = im.ny() / 2; - ImageFileArray v = im.getArray(); + int hx = (mNX - 1) / 2; + int hy = (mNY - 1) / 2; + ImageFileArray v = getArray(); + SignalFilter filter (filterName, domainName, bw, filt_param); for (int i = -hx; i <= hx; i++) { for (int j = -hy; j <= hy; j++) { - double r = sqrt(i * i + j * j); + double r = sqrt (i * i + j * j); - v[i+hx][j+hy] = SignalFilter::response (filterName, domainName, bw, r, filt_param); - if (opt_trace >= TRACE_PHM) - printf ("r=%8.4f, v=%8.4f\n", r, v[i+hx][j+hy]); + v[i+hx][j+hy] = filter.response (r); } } } int -image_display (const ImageFile& im) +ImageFile::display (void) { ImageFileValue pmin, pmax; - im.getPixelValueRange (pmin, pmax); + getPixelValueRange (pmin, pmax); - return (image_display_scale (im, 1, pmin, pmax)); + return (displayScaling (1, pmin, pmax)); } -int image_display_scale (const ImageFile& im, const int scale, const double pmin, const double pmax) +int +ImageFile::displayScaling (const int scale, const ImageFileValue pmin, const ImageFileValue pmax) { int grayscale[256]; - int nx = im.nx(); - int ny = im.ny(); - ImageFileArray v = im.getArray(); + int nx = mNX; + int ny = mNY; + ImageFileArray v = getArray(); #if HAVE_G2_H int pens [nx * ny * scale * scale ]; @@ -158,4 +158,148 @@ int image_display_scale (const ImageFile& im, const int scale, const double pmin +// ImageFile::comparativeStatistics Calculate comparative stats +// +// OUTPUT +// d Normalized root mean squared distance measure +// r Normalized mean absolute distance measure +// e Worst case distance measure +// +// REFERENCES +// G.T. Herman, Image Reconstruction From Projections, 1980 + +bool +ImageFile::comparativeStatistics (const ImageFile& imComp, double& d, double& r, double& e) const +{ + if (imComp.nx() != mNX && imComp.ny() != mNY) { + sys_error (ERR_WARNING, "Image sizes differ [ImageFile::comparativeStatistics]"); + return false; + } + ImageFileArray v = getArray(); + ImageFileArray vComp = imComp.getArray(); + + double myMean = 0.; + for (int ix = 0; ix < mNX; ix++) { + for (int iy = 0; iy < mNY; iy++) { + myMean += v[ix][iy]; + } + } + myMean /= (mNX * mNY); + + double sqErrorSum = 0.; + double absErrorSum = 0.; + double sqDiffFromMeanSum = 0.; + double absValueSum = 0.; + for (int ix = 0; ix < mNX; ix++) { + for (int iy = 0; iy < mNY; iy++) { + double diff = v[ix][iy] - vComp[ix][iy]; + sqErrorSum += diff * diff; + absErrorSum += fabs(diff); + double diffFromMean = v[ix][iy] - myMean; + sqDiffFromMeanSum += diffFromMean * diffFromMean; + absValueSum += fabs(v[ix][iy]); + } + } + + d = sqrt (sqErrorSum / sqDiffFromMeanSum); + r = absErrorSum / absValueSum; + + int hx = mNX / 2; + int hy = mNY / 2; + double eMax = -1; + for (int ix = 0; ix < hx; ix++) { + for (int iy = 0; iy < hy; iy++) { + double avgPixel = 0.25 * (v[2*ix][2*iy] + v[2*ix+1][2*iy] + v[2*ix][2*iy+1] + v[2*ix+1][2*iy+1]); + double avgPixelComp = 0.25 * (vComp[2*ix][2*iy] + vComp[2*ix+1][2*iy] + vComp[2*ix][2*iy+1] + vComp[2*ix+1][2*iy+1]); + double error = fabs (avgPixel - avgPixelComp); + if (error > eMax) + eMax = error; + } + } + + e = eMax; + + return true; +} + + +bool +ImageFile::printComparativeStatistics (const ImageFile& imComp, ostream& os) const +{ + double d, r, e; + + if (comparativeStatistics (imComp, d, r, e)) { + os << " Normalized root mean squared distance (d): " << d << endl; + os << " Normalized mean absolute distance (r): " << r << endl; + os << "Worst case distance (2x2 pixel average) (e): " << e << endl; + } +} + + +void +ImageFile::printStatistics (ostream& os) const +{ + double min, max, mean, mode, median, stddev; + + statistics (min, max, mean, mode, median, stddev); + + os << " min: " << min << endl; + os << " max: " << max << endl; + os << " mean: " << mean << endl; + os << " mode: " << mode << endl; + os << "median: " << median << endl; + os << "stddev: " << stddev << endl; +} + + +void +ImageFile::statistics (double& min, double& max, double& mean, double& mode, double& median, double& stddev) const +{ + int nx = mNX; + int ny = mNY; + ImageFileArray v = getArray(); + + mean = 0; + min = v[0][0]; + max = v[0][0]; + for (int ix = 0; ix < nx; ix++) { + for (int iy = 0; iy < ny; iy++) { + if (v[ix][iy] > max) + max = v[ix][iy]; + if (v[ix][iy] < min) + min = v[ix][iy]; + mean += v[ix][iy]; + } + } + mean /= (nx * ny); + + static const int nbin = 256; + int hist[ nbin ] = {0}; + double spread = max - min; + mode = 0; + stddev = 0; + for (int ix = 0; ix < nx; ix++) { + for (int iy = 0; iy < ny; iy++) { + int b = static_cast((((v[ix][iy] - min) / spread) * (nbin - 1)) + 0.5); + hist[b]++; + double diff = (v[ix][iy] - mean); + stddev += diff * diff; + } + } + stddev = sqrt(stddev / (nx * ny)); + + int max_binindex = 0; + int max_bin = -1; + for (int ibin = 0; ibin < nbin; ibin++) { + if (hist[ibin] > max_bin) { + max_bin = hist[ibin]; + max_binindex = ibin; + } + } + + mode = (max_binindex * spread / (nbin - 1)) + min; + + median = 0.; +} +