Stitcher.cpp

Go to the documentation of this file.

// -*- c-basic-offset: 4 -*-
#include "Stitcher.h"

#include <vigra/stdimage.hxx>

namespace HuginBase {
namespace Nona {

using namespace std;
using namespace vigra;
using namespace vigra_ext;


void estimateBlendingOrder(const PanoramaData & pano, UIntSet images, vector<unsigned int> & blendOrder)
{
    unsigned int nImg = images.size();
    DEBUG_ASSERT(nImg > 0);

    typedef RemappedPanoImage<vigra::BRGBImage, vigra::BImage> RPImg;

    PanoramaOptions opts = pano.getOptions();
    // small area, for alpha mask overlap analysis.
    opts.setWidth(400);
    Size2D size(opts.getWidth(), opts.getHeight());
    Rect2D completeAlphaROI(size);
    // find intersecting regions, on a small version of the panorama.
    std::map<unsigned int, RemappedPanoImage<vigra::BRGBImage, vigra::BImage> * > rimg;
        std::map<unsigned int, RemappedPanoImage<vigra::BRGBImage, vigra::BImage> * >::iterator rimgIter;

    BImage alpha(size);
    Rect2D alphaROI;

    for (UIntSet::iterator it = images.begin(); it != images.end(); ++it)
    {
        // calculate alpha channel
        rimg[*it] = new RPImg;
        rimg[*it]->setPanoImage(pano.getSrcImage(*it), opts, vigra::Rect2D(size));
        rimg[*it]->calcAlpha();
#ifdef DEBUG
//      vigra::exportImage(rimg[*it].alpha(), vigra::ImageExportInfo("debug_alpha.tif"));
#endif
    }

    int firstImg = *(images.begin());
    // copy first alpha channel
    alphaROI = rimg[firstImg]->boundingBox();
    // restrict to output pano size
    alphaROI = alphaROI & completeAlphaROI;
    DEBUG_DEBUG("alphaROI: " << alphaROI);
    DEBUG_DEBUG("alpha size: " << alpha.size());
    copyImage(applyRect(alphaROI, vigra_ext::srcMaskRange(*(rimg[firstImg]))),
//    copyImage(vigra_ext::srcMaskRange(rimg[firstImg]),
              applyRect(alphaROI, destImage(alpha)));

    Rect2D overlap;
    // intersect ROI's & masks of all images
    while (images.size() > 0) {
        unsigned int maxSize = 0;
        unsigned int choosenImg = *(images.begin());
        // search for maximum overlap
        for (UIntSet::iterator it = images.begin(); it != images.end(); ++it) {
            // check for possible overlap
            DEBUG_DEBUG("examing overlap with image " << *it);
            // overlapping images..
            overlap = alphaROI & rimg[*it]->boundingBox();
            if (!overlap.isEmpty()) {
              DEBUG_DEBUG("ROI intersects: " << overlap.upperLeft()
                          << " to " << overlap.lowerRight());
                // if the overlap ROI is smaller than the current maximum,
                // ignore.
                if (overlap.area() > (int) maxSize) {
                    OverlapSizeCounter counter;
                    inspectTwoImages(applyRect(overlap, srcMaskRange(*(rimg[*it]))),
                                     applyRect(overlap, srcImage(alpha)),
                                     counter);
                    DEBUG_DEBUG("overlap size in pixel: " << counter.getSize());
                    if (counter.getSize() > maxSize) {
                        choosenImg = *it;
                        maxSize = counter.getSize();
                    }
                }
            }
        }
        // add to the blend list
        blendOrder.push_back(choosenImg);
        images.erase(choosenImg);
        // update alphaROI, to new roi.
        alphaROI = alphaROI | rimg[choosenImg]->boundingBox();
        alphaROI = alphaROI & completeAlphaROI;
    }
        // All images have been erased so just iterate through the map
    for (rimgIter = rimg.begin(); rimgIter != rimg.end(); rimgIter++) {
        delete rimgIter->second;
    }
}


void stitchPanorama(const PanoramaData & pano,
                        const PanoramaOptions & opt,
                        AppBase::MultiProgressDisplay & progress,
                        const std::string & basename,
                        const UIntSet & usedImgs)
{
    DEBUG_ASSERT(pano.getNrOfImages() > 0);

    // probe the first image to determine a suitable image type for stitching
    unsigned int imgNr = *(usedImgs.begin());
    string fname =  pano.getImage(imgNr).getFilename().c_str();
    DEBUG_DEBUG("Probing image: " << fname);
    vigra::ImageImportInfo info(fname.c_str());
    std::string pixelType = info.getPixelType();
    int bands = info.numBands();
    int extraBands = info.numExtraBands();

    // check if all other relevant images have the same type
    for (UIntSet::const_iterator it = usedImgs.begin()++; it != usedImgs.end(); ++it) {
        vigra::ImageImportInfo info2(pano.getImage(*it).getFilename().c_str());
        if ( pixelType != info2.getPixelType() ) {
            UTILS_THROW(std::runtime_error, "image " <<
                    pano.getImage(*it).getFilename() << " uses " <<
                    info2.getPixelType() << " valued pixel, while " <<
                    pano.getImage(0).getFilename() << " uses: " << pixelType);
            return;
        }

        if (info2.numBands() - info2.numExtraBands() != bands - extraBands) {
            UTILS_THROW(std::runtime_error, "image " <<
                    pano.getImage(*it).getFilename() << " has " <<
                    info2.numBands() << " channels, while " <<
                    pano.getImage(0).getFilename() << " uses: " << bands);
            return;
        }
    }
//    DEBUG_DEBUG("Output pixel type: " << pixelType);
    PanoramaOptions opts = opt;
    if (opts.outputMode == PanoramaOptions::OUTPUT_HDR) {
        if (opts.outputPixelType.size() == 0) {
            opts.outputPixelType = "FLOAT";
        }
    } else {
        // get the emor parameters.
        opts.outputEMoRParams = pano.getSrcImage(0).getEMoRParams();
        if (opts.outputPixelType.size() == 0) {
            opts.outputPixelType = pixelType;
        } else {
            // if output format is specified, use output format as stitching format
            // TODO: this will fail when going down in precision: UINT16 -> UINT8
            pixelType = opts.outputPixelType;
        }
    }

#if 1
    if (opts.outputMode == PanoramaOptions::OUTPUT_HDR) {
        if (bands == 1 || bands == 2 && extraBands == 1) {
            stitchPanoIntern<FImage,BImage>(pano, opts, progress, basename, usedImgs);
        } else if (bands == 3 || bands == 4 && extraBands == 1) {
            stitchPanoIntern<FRGBImage,BImage>(pano, opts, progress, basename, usedImgs);
        } else {
            DEBUG_ERROR("unsupported depth, only images with 1 and 3 channel images are supported");
            throw std::runtime_error("unsupported depth, only images with 1 and 3 channel images are supported");
            return;
        }
    } else {
        // stitch the pano with a suitable image type
        if (bands == 1 || bands == 2 && extraBands == 1) {
            if (pixelType ==  "UINT8"||
                pixelType == "INT16" ||
                pixelType == "UINT16" )
            {
                stitchPanoGray_8_16(pano, opts, progress, basename, usedImgs, pixelType.c_str());
            } else {
                stitchPanoGray_32_float(pano, opts, progress, basename, usedImgs, pixelType.c_str());
            }
        } else if (bands == 3 || bands == 4 && extraBands == 1) {
            if (pixelType == "UINT8" ||
                pixelType == "INT16" ||
                pixelType == "UINT16" )
            {
                stitchPanoRGB_8_16(pano, opts, progress, basename, usedImgs, pixelType.c_str());
            } else {
                stitchPanoRGB_32_float(pano, opts, progress, basename, usedImgs, pixelType.c_str());
            }
        }
    }
#else
    // always stitch with float images.
    if (bands == 1 || bands == 2 && extraBands == 1) {
        stitchPanoIntern<FImage,BImage>(pano, opts, progress, basename, usedImgs);
    } else if (bands == 3 || bands == 4 && extraBands == 1) {
        stitchPanoIntern<FRGBImage,BImage>(pano, opts, progress, basename, usedImgs);
    } else {
        DEBUG_ERROR("unsupported depth, only images with 1 and 3 channel images are supported");
        throw std::runtime_error("unsupported depth, only images with 1 and 3 channel images are supported");
        return;
    }
#endif
}


} // namespace
} // namespace

---