ossimRefPtr<ossimImageData> ossimMaskFilter::executeMaskFilter(ossimRefPtr<ossimImageData> imageSourceData,
ossimRefPtr<ossimImageData> maskSourceData)
{
if(!theTile)
{
theTile = (ossimImageData*)imageSourceData->dup();
if(!theTile->getBuf())
{
theTile->initialize();
}
}
else
{
ossim_uint32 tw = theTile->getWidth();
ossim_uint32 th = theTile->getHeight();
ossim_uint32 dw = imageSourceData->getWidth();
ossim_uint32 dh = imageSourceData->getHeight();
theTile->setWidthHeight(imageSourceData->getWidth(),
imageSourceData->getHeight());
theTile->setOrigin(imageSourceData->getOrigin());
if((tw*th) != (dw*dh))
{
theTile->initialize();
}
theTile->setDataObjectStatus(imageSourceData->getDataObjectStatus());
}
theTile->loadTile(imageSourceData.get());
theTile->setDataObjectStatus(imageSourceData->getDataObjectStatus());
switch(theMaskType)
{
case OSSIM_MASK_TYPE_SELECT:
{
return executeMaskFilterSelect(theTile,
maskSourceData);
}
case OSSIM_MASK_TYPE_INVERT:
{
return executeMaskFilterInvertSelect(theTile,
maskSourceData);
}
case OSSIM_MASK_TYPE_WEIGHTED:
{
return executeMaskFilterWeighted(theTile,
maskSourceData);
}
}
return imageSourceData;
}
ossimRefPtr<ossimImageData> ossimFixedTileCache::addTile(ossimRefPtr<ossimImageData> imageData,
bool duplicateData)
{
OpenThreads::ScopedLock<OpenThreads::Mutex> lock(theMutex);
ossimRefPtr<ossimImageData> result = NULL;
if(!imageData.valid())
{
return result;
}
if(!imageData->getBuf())
{
return result;
}
ossim_int32 id = computeId(imageData->getOrigin());
if(id < 0)
{
return result;
}
std::map<ossim_int32, ossimFixedTileCacheInfo>::iterator tileIter =
theTileMap.find(id);
if(tileIter==theTileMap.end())
{
if(duplicateData)
{
result = (ossimImageData*)imageData->dup();
}
else
{
result = imageData;
}
ossimFixedTileCacheInfo cacheInfo(result, id);
theCacheSize += imageData->getDataSizeInBytes();
theTileMap.insert(make_pair(id, cacheInfo));
if(theUseLruFlag)
{
theLruQueue.push_back(id);
}
}
return result;
}
template<class T> void ossimCFARFilter::convolveFull(
T,
ossimRefPtr<ossimImageData> inputData,
ossimRefPtr<ossimImageData> outputData)
{
// let's set up some temporary variables so we don't
// have to call the functions in loops. Iknow that compilers
// typically optimize this out but if we are in debug mode
// with no optimization it will still run fast
//
double sum = 0.0,sqrsum = 0.0,variance = 0.0;
ossim_int32 inputW = static_cast<ossim_int32>(inputData->getWidth());
ossim_uint32 outputW = outputData->getWidth();
ossim_uint32 outputH = outputData->getHeight();
ossim_uint32 numberOfBands = inputData->getNumberOfBands();
ossimIpt outputOrigin = outputData->getOrigin();
ossimIpt inputOrigin = inputData->getOrigin();
ossim_int32 startInputOffset = std::abs(outputOrigin.y - inputOrigin.y)*
inputW + std::abs(outputOrigin.x - inputOrigin.x);
ossim_int32 ulKernelStart = -(2*inputW) - 2;
ossim_int32 ul1KernelStart = -inputW - 1;
ossim_int32 leftKernelStart = -2;
ossim_int32 ll1KernelStart = inputW - 1;
ossim_int32 llKernelStart = (2*inputW) - 2;
//populate kernel offset indices
ossim_int32 KernelStart[BOXSIZE];
T* KernelStartBuf[BOXSIZE];
for(ossim_uint16 i=0;i<BOXSIZE;i++)
{
int offset = i-(BOXSIZE/2);
KernelStart[i] = offset*inputW + offset;
KernelStartBuf[i] = NULL;
}
T* ulKernelStartBuf = NULL;
T* ul1KernelStartBuf = NULL;
T* leftKernelStartBuf = NULL;
T* ll1KernelStartBuf = NULL;
T* llKernelStartBuf = NULL;
for(ossim_uint32 band = 0; band < numberOfBands; ++band)
{
T* inputBuf = static_cast<T*>(inputData->getBuf(band))+startInputOffset;
T* outputBuf = static_cast<T*>(outputData->getBuf(band));
T maxPix = static_cast<T>(getMaxPixelValue(band));
T minPix = static_cast<T>(getMinPixelValue(band));
if(inputBuf&&outputBuf)
{
for(ossim_uint32 row = 0; row < outputW; ++row)
{
ossim_int32 rowOffset = inputW*row;
ulKernelStartBuf = inputBuf + (rowOffset + ulKernelStart);
ul1KernelStartBuf = inputBuf + (rowOffset + ul1KernelStart);
leftKernelStartBuf = inputBuf + (rowOffset + leftKernelStart);
ll1KernelStartBuf = inputBuf + (rowOffset + ll1KernelStart);
llKernelStartBuf = inputBuf + (rowOffset + llKernelStart);
for(ossim_uint16 i=0;i<BOXSIZE;i++)
{
KernelStartBuf[i] = inputBuf + (rowOffset + KernelStart[i]);
}
for(ossim_uint32 col = 0; col < outputH; ++col)
{
//calculate mean
sum = 0.0;
sqrsum = 0.0;
for(ossim_uint32 r=0; r<5; ++r)
sum += theKernel[0][r]*(double)ulKernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sum += theKernel[1][r]*(double)ul1KernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sum += theKernel[2][r]*(double)leftKernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sum += theKernel[3][r]*(double)ll1KernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sum += theKernel[4][r]*(double)llKernelStartBuf[r];
/*
for(ossim_uint16 i=0;i<BOXSIZE;i++)
{
for(ossim_uint32 r=0; r<5; ++r)
{
sum += theKernel[i][r]*(double)KernelStartBuf[i][r];
sqrsum += theKernel[i][r]*(double)KernelStartBuf[i][r]
*(double)KernelStartBuf[i][r];
}
}
*/
//calculate mean of squares
for(ossim_uint32 r=0; r<5; ++r)
sqrsum += theKernel[0][r]*(double)ulKernelStartBuf[r]
*(double)ulKernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sqrsum += theKernel[1][r]*(double)ul1KernelStartBuf[r]
*(double)ul1KernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sqrsum += theKernel[2][r]*(double)leftKernelStartBuf[r]
*(double)leftKernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sqrsum += theKernel[3][r]*(double)ll1KernelStartBuf[r]
*(double)ll1KernelStartBuf[r];
for(ossim_uint32 r=0; r<5; ++r)
sqrsum += theKernel[4][r]*(double)llKernelStartBuf[r]
*(double)llKernelStartBuf[r];
//calculate variance
variance = sqrsum - (sum*sum);
//calculate k-value
sum = ((double)leftKernelStartBuf[2] - sum)/sqrt(variance);
//Threshold k-value
if(sum < theThreshold)
sum = minPix;
else
sum = maxPix;
/*
sum = theKernel[0][0]*(double)ulKernelStartBuf[0] +
theKernel[0][1]*(double)ulKernelStartBuf[1] +
theKernel[0][2]*(double)ulKernelStartBuf[2] +
theKernel[1][0]*(double)leftKernelStartBuf[0] +
theKernel[1][1]*(double)leftKernelStartBuf[1] +
theKernel[1][2]*(double)leftKernelStartBuf[2] +
theKernel[2][0]*(double)llKernelStartBuf[0] +
theKernel[2][1]*(double)llKernelStartBuf[1] +
theKernel[2][2]*(double)llKernelStartBuf[2];
*/
if(sum > maxPix)
{
*outputBuf = maxPix;
}
else if(sum < minPix)
{
*outputBuf = minPix;
}
else
{
*outputBuf = static_cast<T>(sum);
}
//
// Need to implement the convolution here.
//
++ulKernelStartBuf;
++ul1KernelStartBuf;
++leftKernelStartBuf;
++ll1KernelStartBuf;
++llKernelStartBuf;
++outputBuf;
}
}
}
}
}
