public static Mat getCCH(Mat image) {
ArrayList<MatOfPoint> contours = new ArrayList<MatOfPoint>();
Mat hierarchy = new Mat();
Imgproc.findContours(
image, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_NONE);
Mat chainHistogram = Mat.zeros(1, 8, CvType.CV_32F);
int n = 0;
MatOfPoint2f approxCurve = new MatOfPoint2f();
for (MatOfPoint contour : contours) {
// get the freeman chain code from the contours
int rows = contour.rows();
// System.out.println("\nrows"+rows+"\n"+contour.dump());
int direction = 7;
Mat prevPoint = contours.get(0).row(0);
n += rows - 1;
for (int i = 1; i < rows; i++) {
// get the current point
double x1 = contour.get(i - 1, 0)[1];
double y1 = contour.get(i - 1, 0)[0];
// get the second point
double x2 = contour.get(i, 0)[1];
double y2 = contour.get(i, 0)[0];
if (x2 == x1 && y2 == y1 + 1) direction = 0;
else if (x2 == x1 - 1 && y2 == y1 + 1) direction = 1;
else if (x2 == x1 - 1 && y2 == y1) direction = 2;
else if (x2 == x1 - 1 && y2 == y1 - 1) direction = 3;
else if (x2 == x1 && y2 == y1 - 1) direction = 4;
else if (x2 == x1 + 1 && y2 == y1 - 1) direction = 5;
else if (x2 == x1 + 1 && y2 == y1) direction = 6;
else if (x2 == x1 + 1 && y2 == y1 + 1) direction = 7;
else System.out.print("err");
double counter = chainHistogram.get(0, direction)[0];
chainHistogram.put(0, direction, ++counter);
System.out.print(direction);
}
}
System.out.println("\n" + chainHistogram.dump());
Scalar alpha = new Scalar(n); // the factor
Core.divide(chainHistogram, alpha, chainHistogram);
System.out.println("\nrows=" + n + " " + chainHistogram.dump());
return chainHistogram;
}
/**
* Determines which pieces are kings
*
* @param in Mat image of board
*/
public void determineKings(Mat in) {
int playSquares = 32;
Mat dst = new Mat(in.rows(), in.cols(), in.type());
in.copyTo(dst);
Imgproc.cvtColor(dst, dst, Imgproc.COLOR_BGR2GRAY); // change to single color
Mat canny = new Mat();
Imgproc.Canny(dst, canny, 100, 200); // make image a canny image that is only edges; 2,4
// lower threshold values find more edges
List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
Mat hierarchy = new Mat(); // holds nested contour information
Imgproc.findContours(
canny,
contours,
hierarchy,
Imgproc.RETR_LIST,
Imgproc.CHAIN_APPROX_SIMPLE); // Imgproc.RETR_LIST, TREE
// draw contour image
Mat mask = new Mat();
mask = Mat.zeros(dst.size(), dst.type());
Imgproc.drawContours(
mask, contours, -1, new Scalar(255, 255, 255), 1, 8, hierarchy, 2, new Point());
Highgui.imwrite("contours.jpg", mask);
ArrayList occupied = new ArrayList<Integer>();
for (int i = 0; i < playSquares; i++) {
if (board[i] != 0) occupied.add(i);
}
for (int i = 0; i < contours.size(); i++) // assuming only contours are checker pieces
{
// determine if it should be a king
// use Rect r = Imgproc.boundingRect then find height of it by r.height
// Get bounding rect of contour
Rect bound = Imgproc.boundingRect(contours.get(i));
if (bound.height > in.rows() / 8) {
// board[(int) occupied.get(0)]++; // make it a king
// occupied.remove(0);
}
}
// or apply to each region of interest
/*
// keep track of starting row square
int parity = 0; // 0 is even, 1 is odd, tied to row number
int count = 0; // row square
int rowNum = 0; // row number, starting at 0
int vsegment = in.rows() / 8; // only accounts 8 playable
int hsegment = in.cols() / 12; // 8 playable, 2 capture, 2 extra
int offset = hsegment * 2; // offset for playable board
// For angle of camera
int dx = 48;
hsegment -= 8;
// Go through all playable squares
for (int i = 0; i < playSquares; i++)
{
// change offset depending on the row
if (parity == 0) // playable squares start on immediate left
offset = hsegment * 3 + dx;
else // playable squares start on 2nd square from left
offset = hsegment * 2 + dx;
// find where roi should be
Point p1 = new Point(offset + count * hsegment, rowNum * vsegment); // top left point of rectangle (x,y)
Point p2 = new Point(offset + (count + 1) * hsegment, (rowNum + 1) * vsegment); // bottom right point of rectangle (x,y)
// create rectangle that is board square
Rect bound = new Rect(p1, p2);
// frame only includes rectangle
Mat roi = new Mat(in, bound);
Imgproc.cvtColor(roi, roi, Imgproc.COLOR_BGR2GRAY); // change to single color
Mat canny = new Mat();
Imgproc.Canny(roi, canny, 2, 4); // make image a canny image that is only edges; 2,4
// lower threshold values find more edges
List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
Mat hierarchy = new Mat(); // holds nested contour information
Imgproc.findContours(canny, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE); // Imgproc.RETR_LIST, TREE
// Get bounding rect of contour
Rect rect = Imgproc.boundingRect(contours.get(0));
if (rect.height > in.rows() / 8)
{
board[i]++; // make it a king
}
count += 2;
if (count == 8)
{
parity = ++parity % 2; // change odd or even
count = 0;
rowNum++;
hsegment += 1;
dx -= 6;
}
}*/
}