void Image::internalUpdate() {
Q_ASSERT(myLockStatus() == KstRWLock::WRITELOCKED);
writeLockInputsAndOutputs();
if (_inputMatrices.contains(THEMATRIX)) {
MatrixPtr mp = _inputMatrices[THEMATRIX];
// stats
NS = mp->sampleCount();
MinX = mp->minX();
int xNumSteps = mp->xNumSteps();
double xStepSize = mp->xStepSize();
MaxX = xNumSteps*xStepSize + MinX;
MinY = mp->minY();
int yNumSteps = mp->yNumSteps();
double yStepSize = mp->yStepSize();
MaxY = yNumSteps*yStepSize + MinY;
_ns_maxx = MaxX;
_ns_minx = MinX;
_ns_maxy = MaxY;
_ns_miny = MinY;
MinPosY = MinY > 0 ? MinY : yStepSize*0.5;
MinPosX = MinX > 0 ? MinX : xStepSize*0.5;
//recalculate the thresholds if necessary
if (_autoThreshold) {
_zLower = mp->minValue();
_zUpper = mp->maxValue();
}
//update the contour lines
if (hasContourMap()) {
double min = mp->minValue(), max = mp->maxValue();
double contourStep = (max - min) / (double)(_numContourLines + 1);
if (contourStep > 0) {
_contourLines.clear();
for (int i = 0; i < _numContourLines; i++) {
_contourLines.append(min + (i+1) * contourStep);
}
}
}
_redrawRequired = true;
}
unlockInputsAndOutputs();
return;
}
void ImageTab::calculateAutoThreshold() {
MatrixPtr matrix = _matrix->selectedMatrix();
if (matrix) {
matrix->readLock();
_lowerThreshold->setText(QString::number(matrix->minValue()));
_upperThreshold->setText(QString::number(matrix->maxValue()));
matrix->unlock();
}
}
