// Persumed to be rotated correctly (but not yet cropped)
public static byte[] Read(byte[,] imageData)
{
byte[,] array = new byte[19, 4];
if (imageData != null)
{
if (imageData.GetLength(0) > 0 && imageData.GetLength(1) > 0)
{
imageData = Processing.FloatToByte(Processing.Gaussian(imageData));
imageData = Processing.Binarize(imageData, 200);
int minBlack = Math.Min(4, Math.Min(imageData.GetLength(0) / 19, imageData.GetLength(1) / 4));
Point p1 = new Point(-1, -1);
Point p2 = new Point(-1, -1);
for (int i = 0; i < (imageData.GetLength(0) / 2); i++)
{
int sum1 = 0;
int sum2 = 0;
for (int j = 0; j < imageData.GetLength(1); j++)
{
sum1 += imageData[i, j] > 0 ? 0 : 1;
sum2 += imageData[imageData.GetLength(0) - i - 1, j] > 0 ? 0 : 1;
}
if (p1.X == -1 && sum1 >= minBlack)
{
p1.X = i;
}
if (p2.X == -1 && sum2 >= minBlack)
{
p2.X = imageData.GetLength(0) - i - 1;
}
if (p1.X != -1 && p2.X != -1)
{
break;
}
}
for (int j = 0; j < (imageData.GetLength(1) / 2); j++)
{
int sum1 = 0;
int sum2 = 0;
for (int i = 0; i < imageData.GetLength(0); i++)
{
sum1 += imageData[i, j] > 0 ? 0 : 1;
sum2 += imageData[i, imageData.GetLength(1) - j - 1] > 0 ? 0 : 1;
}
if (p1.Y == -1 && sum1 >= minBlack)
{
p1.Y = j;
}
if (p2.Y == -1 && sum2 >= minBlack)
{
p2.Y = imageData.GetLength(1) - j - 1;
}
if (p1.Y != -1 && p2.Y != -1)
{
break;
}
}
if (p1.X != -1 && p1.Y != -1 && p2.X != -1 && p2.Y != -1)
{
imageData = Processing.Crop(imageData, new Rectangle(p1.X, p1.Y, p2.X - p1.X + 1, p2.Y - p1.Y + 1));
int blockWidth = (int)Math.Floor((double)imageData.GetLength(0) / 19);
int blockHeight = (int)Math.Floor((double)imageData.GetLength(1) / 4);
int newWidth = blockWidth * 19;
int newHeight = blockHeight * 4;
imageData = Processing.Resize(imageData, newWidth, newHeight);
int threshold = (blockWidth * blockHeight) / 2;
for (int j = 0; j < 4; j++)
{
for (int i = 0; i < 19; i++)
{
double sum = 0;
for (int k = 0; k < blockHeight; k++)
{
for (int l = 0; l < blockWidth; l++)
{
sum += (int)imageData[(i * blockWidth) + l, (j * blockHeight) + k] > 1 ? 1 : 0;
}
}
array[i, j] = sum < threshold ? (byte)0 : (byte)1;
}
}
}
else
{
Logger.LogLow("Could not crop barcode.");
}
}
}
return(ReadFrom2DArray(array));
}
public static byte[] Read(Image image)
{
return(Read(Processing.ImageToByte(image)));
}
private static List <EllipticalFit> FindPointsByCanny(int numberToFind,
int currentCross, byte[,] cannyData, int searchSize, ref int searchShift, ref int attempt, ref bool ellipsesValid)
{
searchSize = (int)(Math.Round((double)searchSize / 2) * 2); // has to be even
int shiftX = searchShift == 1 || searchShift == 3 ? (int)(searchSize / 4) : 0;
int shiftY = searchShift == 2 || searchShift == 3 ? (int)(searchSize / 4) : 0;
int searchJump = searchSize / 2;
int w = cannyData.GetLength(0);
int h = cannyData.GetLength(1);
// Create a list with areas to look => cannot be reused due to (even very small) differences in size of scans
List <Point> searchPoints = new List <Point>();
for (int x = shiftX; x < w; x += searchJump)
{
int searchX = x;
if (x + searchSize >= w)
{
searchX = w - searchSize;
x = w;
}
for (int y = shiftY; y < h; y += searchJump)
{
int searchY = y;
if (y + searchSize >= h)
{
searchY = h - searchSize;
y = h;
}
searchPoints.Add(new Point(searchX, searchY));
}
}
// Assumed that the paper is oriented right => faster
searchPoints.Sort(delegate(Point p1, Point p2) { return(Math.Min(w - p1.X, h - p1.Y).CompareTo(Math.Min(w - p2.X, h - p2.Y))); });
/*
*
*
*
*
********
*/
#if DEBUG
var img = Processing.ByteToImage(cannyData);
#endif
// Crop small rectangles from canny
List <EllipticalFit> ellipseList = new List <EllipticalFit>();
for (int i = 0; i < searchPoints.Count; i++)
{
// Fit an ellipse
EllipticalFit fit = null;
RectangleF boundingRectangle = new RectangleF();
try
{
var searchRectangle = new Rectangle(searchPoints[i].X, searchPoints[i].Y, searchSize, searchSize);
fit = new EllipticalFit(cannyData, 255, searchRectangle);
#if DEBUG
using (Graphics g = Graphics.FromImage(img))
{
g.DrawRectangle(new Pen(Color.Yellow), searchRectangle);
}
#endif
// Empty search areas are already ignored in fit
boundingRectangle = fit.BoundingRectangle();
// If a valid ellipse is found
if (!double.IsNaN(boundingRectangle.X) && boundingRectangle.X > 0 &&
!double.IsNaN(boundingRectangle.Y) && boundingRectangle.Y > 0 &&
boundingRectangle.Width < searchSize && boundingRectangle.Height < searchSize &&
boundingRectangle.Width > .25 * searchSize && boundingRectangle.Height > .25 * searchSize &&
boundingRectangle.Width > 15 && boundingRectangle.Height > 15)
{
var observed = Processing.Crop(cannyData, searchRectangle);
var moments = Processing.Moments(observed);
double squareness = Math.Min((double)boundingRectangle.Width, (double)boundingRectangle.Height) / Math.Max((double)boundingRectangle.Width, (double)boundingRectangle.Height);
// Ellipse has to be more or less round, based on enough points and have some variance in each direction
if (squareness > .9 && moments[0] >= 8 && moments[3] > 0 && moments[4] > 0)
{
// Fill the ellipse with floodfill
var observedFilled = Processing.FloodFill(observed, 1, new PointF(
boundingRectangle.X - searchRectangle.X + (boundingRectangle.Width / 2),
boundingRectangle.Y - searchRectangle.Y + (boundingRectangle.Height / 2)));
var momentsFilled = Processing.Moments(observedFilled);
if (momentsFilled[1] > (boundingRectangle.Width / 2) && momentsFilled[1] < searchRectangle.Width - (boundingRectangle.Width / 2) &&
momentsFilled[2] > (boundingRectangle.Height / 2) && momentsFilled[2] < searchRectangle.Height - (boundingRectangle.Height / 2))
{
// Create a white circle of similar size
var expectedFilled = Processing.WhiteCircle(observedFilled.GetLength(0), observedFilled.GetLength(1), new RectangleF(
boundingRectangle.X - searchRectangle.X, boundingRectangle.Y - searchRectangle.Y, boundingRectangle.Width, boundingRectangle.Height));
// Compare the result of the floodfill with the white circle
fit.DifferenceFromCircle = Processing.AverageDifference(observedFilled, expectedFilled);
// Only if ellipse was closed they will be similar
if (fit.DifferenceFromCircle < .1)
{
ellipseList = AddWithoutOverlap(ellipseList, fit);
}
}
}
}
}
catch (Exception ex)
{
Logger.LogLow(ex.Message);
}
if (ellipseList.Count == numberToFind)
{
break;
}
}
ellipsesValid = EllipsePointsAreValid(Program.Test, ellipseList); // Count and colinearity have to be correct
/*
* using (Graphics g = Graphics.FromImage(img))
* {
* for (int i = 0; i < ellipseList.Count; i++)
* {
* g.DrawLine(new Pen(Color.Blue, 2), ellipseList[i].MidPoint().X - 15, ellipseList[i].MidPoint().Y, ellipseList[i].MidPoint().X + 15, ellipseList[i].MidPoint().Y);
* g.DrawLine(new Pen(Color.Blue, 2), ellipseList[i].MidPoint().X, ellipseList[i].MidPoint().Y - 15, ellipseList[i].MidPoint().X, ellipseList[i].MidPoint().Y + 15);
* }
* }
* img.Save(Program.UserSettings.defaultDirectory + "\\img\\"
+ Convert.ToString(DateTime.Now.Minute)
+ " - " + Convert.ToString(DateTime.Now.Second)
+ " - " + Convert.ToString(DateTime.Now.Millisecond)
+ " - " + currentCross
+ " - " + searchSize
+ " - " + searchShift
+ " - " + attempt
+ " - " + ellipseList.Count
+ " - " + ellipsesValid
+ ".bmp");
*/
Logger.LogHigh(
"Attempt:\t" + attempt +
"\tCanny:\t" + currentCross +
"\tSearch size:\t" + searchSize +
"\tSearch shift:\t" + searchShift +
"\tEllipses found:\t" + ellipseList.Count +
"\tEllipses valid:\t" + ellipsesValid);
// If not all ellipses are found, retry with shifted searcharea
if (ellipseList.Count != numberToFind && searchShift < 3)
{
searchShift++;
attempt++;
ellipseList = FindPointsByCanny(numberToFind, currentCross, cannyData, searchSize, ref searchShift, ref attempt, ref ellipsesValid);
}
return(ellipseList);
}
public void CalculateInitialItemAltsCheckedState(int pageNumber, float sure, float doubt)
{
if (ItemAltsCheckedState == null)
{
ItemAltsCheckedState = new ItemCheckedState[Program.Test.Paper.Blocks.X, Program.Test.Paper.Blocks.Y];
}
var itemAlternativeOnLocation = Program.Test.Pages[pageNumber].ItemAlternativeOnLocation();
for (int i = 0; i < Program.Test.Paper.Blocks.X; i++)
{
for (int j = 0; j < Program.Test.Paper.Blocks.Y; j++)
{
if (itemAlternativeOnLocation[i, j])
{
var crop = Processing.Crop(ScannedImage, ItemAltRectangle(i, j));
int w = crop.GetLength(0);
int h = crop.GetLength(1);
double val = 0;
Single w2 = (Single)(w - 1) / 2;
Single h2 = (Single)(h - 1) / 2;
Single max = w2 * w2 * h2 * h2;
double old = 0;
double nw = 0;
for (int x = 0; x < w; x++)
{
for (int y = 0; y < h; y++)
{
val += crop[x, y] * (max - ((x - w2) * (x - w2) * (y - h2) * (y - h2)));;
old += crop[x, y];
nw += crop[x, y] * (max - ((x - w2) * (x - w2) * (y - h2) * (y - h2)));
}
}
val /= 2.55f * ((w * h * max) - (
(w * (w - 1) * (w + 1) / 12) *
(h * (h - 1) * (h + 1) / 12)
));
ColorDistribution.Add(val);
ItemCheckedState state = ItemCheckedState.Unknown;
if (val < sure)
{
state = ItemCheckedState.Checked;
}
else if (val < doubt)
{
state = ItemCheckedState.Doubt;
}
else
{
state = ItemCheckedState.Unchecked;
}
ItemAltsCheckedState[i, j] = state;
}
else
{
ItemAltsCheckedState[i, j] = ItemCheckedState.Unavailable;
}
}
}
}
private static List <PointF> CalibrationPoints(Test test, byte[,] image, int searchSize)
{
List <PointF> calPoints = new List <PointF>();
bool solutionFound = false;
int max = 0;
int indexOfMax = 0;
for (int i = 0; i < 100; i++)
{
if (Settings.SuccessFullCanny[i] > max)
{
max = Settings.SuccessFullCanny[i];
indexOfMax = i;
}
}
int currentCross = indexOfMax;
if (currentCross == 0)
{
currentCross = Program.UserSettings.calibrationCannyStart;
}
int attempt = 1; // Canny -> SearchSize -> SearchShift
int cannyAttempt = 1; // Don't start at zero, otherwise adds zero to currentCross first time
// Try different levels of canny edge detection until the number of points matches
int[] best = { -1, -1 };
int[] secondBest = { -1, -1 };
bool goingDown = false;
bool goingUp = false;
while (!solutionFound && currentCross >= 0 && currentCross < 100 && cannyAttempt <= Program.UserSettings.maximumCannyAttempts)
{
calPoints.Clear();
var cannyData = Processing.EdgeDetection(image, currentCross);
// Due to edgedetection, cannyData is a bit smaller than original!
float correctionX = (float)(image.GetLength(0) - cannyData.GetLength(0)) / 2;
float correctionY = (float)(image.GetLength(1) - cannyData.GetLength(1)) / 2;
int searchSizeDiffCount = 0;
int[] searchSizeDiff = { 0, 2, -4, 6, -8, 10, -12, 14, -16, 18, -20, 22 };
List <EllipticalFit> ellipsesFound = new List <EllipticalFit>();
bool ellipsesValid = false;
while (!ellipsesValid && searchSizeDiffCount < searchSizeDiff.GetLength(0))
{
int adjustedSearchSize = searchSize + searchSizeDiff[searchSizeDiffCount];
int searchShift = 0;
ellipsesFound = FindPointsByCanny(test.Paper.CalibrationCircles.X + test.Paper.CalibrationCircles.Y - 1,
currentCross, cannyData, adjustedSearchSize, ref searchShift, ref attempt, ref ellipsesValid);
searchSizeDiffCount++;
attempt++;
}
if (ellipsesValid)
{
foreach (var fit in ellipsesFound)
{
var mid = fit.MidPoint();
calPoints.Add(new PointF(mid.X + correctionX, mid.Y + correctionY));
}
calPoints.Sort(delegate(PointF pc1, PointF pc2) { return(Distance(pc1, new PointF(0, image.GetLength(1))).CompareTo(Distance(pc2, new PointF(0, image.GetLength(1))))); });
/* Results in this order:
* G
|
| F
|
| E
|
| A-B-C-D
*/
Settings.SuccessFullCanny[currentCross]++;
solutionFound = true;
}
else
{
if (best[0] == -1)
{
best[0] = currentCross;
best[1] = ellipsesFound.Count;
}
else
{
if (ellipsesFound.Count > best[1])
{
secondBest[0] = best[0];
secondBest[1] = best[1];
best[0] = currentCross;
best[1] = ellipsesFound.Count;
}
else if (ellipsesFound.Count > secondBest[1])
{
secondBest[0] = currentCross;
secondBest[1] = ellipsesFound.Count;
}
}
if (secondBest[1] < 0 || best[1] == secondBest[1]) // No specific direction prefered yet -> try both ways
{
currentCross += (int)Math.Pow(-1, cannyAttempt) * cannyAttempt * 3;
}
else // One direction favored
{
if (best[0] < secondBest[0] || goingDown)
{
currentCross -= 3;
goingDown = true;
}
else if (best[0] > secondBest[0] || goingUp)
{
currentCross += 3;
goingUp = true;
}
}
cannyAttempt++;
}
}
return(calPoints);
}