void calculateImageMetrics(int j)
{
int calculated = 0;
// Reset Image Metrics
calibrationDevices[j].leftImageMetrics.sum = 0;
calibrationDevices[j].leftImageMetrics.numPixels = 0;
calibrationDevices[j].leftImageMetrics.average = 0;
calibrationDevices[j].leftImageMetrics.totalMaskDeviation = 0;
calibrationDevices[j].rightImageMetrics.sum = 0;
calibrationDevices[j].rightImageMetrics.numPixels = 0;
calibrationDevices[j].rightImageMetrics.average = 0;
calibrationDevices[j].rightImageMetrics.totalMaskDeviation = 0;
Mat workingImage = new Mat(calibrationDevices[j].webcam.leftImage.Height,
calibrationDevices[j].webcam.leftImage.Width,
calibrationDevices[j].webcam.leftImage.Type(), 0);
Mat workingImage2 = new Mat(calibrationDevices[j].webcam.leftImage.Height,
calibrationDevices[j].webcam.leftImage.Width,
MatType.CV_64FC1, 0);
Mat workingImage3 = new Mat(calibrationDevices[j].webcam.leftImage.Height,
calibrationDevices[j].webcam.leftImage.Width,
MatType.CV_64FC1, 0);
for (int i = 0; i < 2; i++)
{
workingImage.SetTo(0);
workingImage2.SetTo(0);
workingImage3.SetTo(0);
Mat curMat = i == 0 ? calibrationDevices[j].webcam.leftImage :
calibrationDevices[j].webcam.rightImage;
if (calibrationDevices[j].maskImage[i] != null)
{
// 1) Mask out the non-lens portions of the image
curMat.CopyTo(workingImage, calibrationDevices[j].maskImage[i]);
// 2) Sum the pixel values here
double pixelSum = workingImage.Sum().Val0;
// 3) Sum the pixel values of the mask
double maskSum = calibrationDevices[j].maskImage[i].Sum().Val0 / 255.0;
// 4) Calculate the average as image / mask
double average = pixelSum / maskSum;
workingImage2.SetTo(0);
// 5) Convert both to signed double values
workingImage.ConvertTo(workingImage2, MatType.CV_64FC1);
// 6) Subtract the average from the original masked image
Cv2.Subtract(workingImage2, average, workingImage2, calibrationDevices[j].maskImage[i]);
// 7) Take the Absolute Value - Unnecessary, the squaring later implies an absolute value
//Cv2.Absdiff(workingImage2, averageImage, averageImage);
workingImage3.SetTo(0);
// 8) Multiply the image by itself
Cv2.AccumulateSquare(workingImage2, workingImage3, calibrationDevices[j].maskImage[i]);
// 9) Take the Sum - this is the total mask deviation!!!
double totalAbsDiff = Cv2.Sum(workingImage3).Val0;
// 10) Set the Image Metrics
// -Make sure to compensate for the left/ right switch on the bottom
if (i == 0)
{
calibrationDevices[j].leftImageMetrics.sum = pixelSum;
calibrationDevices[j].leftImageMetrics.numPixels = maskSum;
calibrationDevices[j].leftImageMetrics.average = pixelSum / maskSum;
calibrationDevices[j].leftImageMetrics.totalMaskDeviation = (float)totalAbsDiff;
}
else
{
calibrationDevices[j].rightImageMetrics.sum = pixelSum;
calibrationDevices[j].rightImageMetrics.numPixels = maskSum;
calibrationDevices[j].rightImageMetrics.average = pixelSum / maskSum;
calibrationDevices[j].rightImageMetrics.totalMaskDeviation = (float)totalAbsDiff;
}
calculated++;
}
}
/*if (calculated == 2) {
* Debug.Log("Left Cost: " + calibrationDevices[j].leftImageMetrics.totalMaskDeviation + "\n" +
* "RightCost: " + calibrationDevices[j].rightImageMetrics.totalMaskDeviation);
* }*/
workingImage.Release();
workingImage2.Release();
workingImage3.Release();
}
