bool ReliabilityHistogram::run()
{
if(firstTime)
{
if(thermalARGB32.empty() || thermalARGB32.data == NULL)
{
this->height = m_data->reliabilityMap->height();
this->width = m_data->reliabilityMap->width();
this->thermalARGB32 = cv::Mat(height, width, CV_8UC4 );
}
QByteArray string8bit = this->fileMaskName.toLocal8Bit();
// this->fieldMask = cv::imread(string8bit.data(), CV_LOAD_IMAGE_GRAYSCALE );
this->fieldMask = cv::Mat();
this->firstTime = false;
}
if(m_data->reliabilityMap->bits() == NULL || m_data->reliabilityMap->isNull() )
{
AppendToLog("ReliabilityHistogram: Warning: 'reliability map' not found.\n");
return true;
}
memcpy(thermalARGB32.data, m_data->reliabilityMap->bits(), height*m_data->reliabilityMap->bytesPerLine());
#ifdef __OPENCV3__
cv::cvtColor(thermalARGB32, currThermal, cv::COLOR_RGBA2BGR);
#else
cv::cvtColor(thermalARGB32, currThermal, CV_RGBA2BGR);
#endif
reliability = thermal.thermalToReliability( currThermal );
float range[] = { 0, 255 } ;
const float* histRange = { range };
cv::calcHist( &reliability, 1, 0, this->fieldMask, reliabHisto, 1, &numBins, &histRange, true, true );
if(m_data->frameNumber == this->showDataAtFrame)
{
cv::normalize(this->reliabHisto, histNorm, 0, 100, cv::NORM_MINMAX, -1, cv::Mat() );
for(int i = 0; i < 256; i++)
{
std::cout << histNorm.at<float>(i) << " ";
}
std::cout<< std::endl;
}
if(showHistogram)
displayHistogram(this->reliabHisto);
return true;
}
int main() {
int numScores = 0;
int scores[100];
int* numScoresPointer = &numScores;
readScores(scores, numScoresPointer);
printf("\n\nScores:\n");
displayScores(scores, numScores);
int numFreq = 0;
struct freq frequencies[numScores];
int i;
for (i = 0; i < numScores; i++) {
(*(frequencies + i)).number = 0;
}
int* numFreqPointer = &numFreq;
calcHistogram(frequencies, numFreqPointer, scores, numScores);
printf("\n\n\nUnsorted Histogram:\n");
displayHistogram(frequencies, numFreq);
sortHistogram(frequencies, numFreq);
printf("\n\n\nSorted Histogram:\n");
displayHistogram(frequencies, numFreq);
return 0;
}
/***************************************************************************//**
* Menu_PointProcesses_ModifiedContrastStretch
* Author - Derek Stotz
*
* Displays an image histogram generated by QtImageLib subroutines
*
* Parameters -
image - the image object to manipulate.
*
* Returns
* true if successful, false if not
******************************************************************************/
bool PointProcessor::Menu_PointProcesses_ViewImageHistogram(Image &image)
{
displayHistogram(image.Histogram(), "Image Histogram");
return true;
}