public static void main(String[] args) {
try {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
Mat source = Imgcodecs.imread("test_image.jpg", 0);
Mat destination = new Mat(source.rows(), source.cols(), source.type());
Imgproc.GaussianBlur(source, source, new Size(45, 45), 0);
Imgproc.adaptiveThreshold(
source, source, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 75, 10);
Core.bitwise_not(source, source);
// Line detection
Mat img2 = null;
Imgproc.cvtColor(source, img2, Imgproc.COLOR_GRAY2RGB);
Mat img3 = null;
Imgproc.cvtColor(source, img3, Imgproc.COLOR_GRAY2RGB);
MatOfInt4 lines = new MatOfInt4();
// Imgproc.HoughLines(img, lines, rho, theta, threshold);
// Write to File
Imgcodecs.imwrite("gaussian.jpg", source);
System.out.println("Success!");
} catch (Exception e) {
System.out.println("Error has occurred: " + e.getMessage());
}
}
public void processWithContours(Mat in, Mat out) {
int playSquares = 32; // number of playable game board squares
// 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() / 10; // 8 playable, 2 capture
int hOffset = hsegment * 2; // offset for playable board
int vOffset = vsegment + 40;
// For angle of camera
int dx = 80;
int ddx = 0;
hsegment -= 16;
int dy = 20;
vsegment -= 24;
int ddy = 0;
// 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 2nd square from left
{
if (rowNum >= 5) dx -= 3;
hOffset = hsegment * 2 + dx;
} else // playable squares start on immediate left
{
if (rowNum >= 5) dx -= 3;
hOffset = hsegment + dx;
}
if (rowNum == 0) ddy = 5;
if (rowNum == 4) if (count == 6) ddx = 10;
if (rowNum == 5) {
if (count == 0) ddx = -6;
else if (count == 2) ddx = 6;
else if (count == 4) ddx = 12;
else if (count == 6) ddx = 20;
}
if (rowNum == 6) {
if (count == 0) ddx = 0;
else if (count == 2) ddx = 16;
else if (count == 4) ddx = 32;
else if (count == 6) ddx = 40;
}
if (rowNum == 7) {
if (count == 0) ddx = 6;
else if (count == 2) ddx = 24;
else if (count == 4) ddx = 40;
else ddx = 52;
}
// find where roi should be
// System.out.println("" + vOffset);
Point p1 =
new Point(
hOffset + count * hsegment + ddx + 5,
vOffset + rowNum * vsegment - dy - 5 - ddy); // top left point of rectangle (x,y)
Point p2 =
new Point(
hOffset + (count + 1) * hsegment + ddx - 5,
vOffset
+ (rowNum + 1) * vsegment
- dy
- 5
- ddy); // bottom right point of rectangle (x,y)
// create rectangle that is board square
Rect bound = new Rect(p1, p2);
Mat roi;
char color;
if (i == 0) {
// frame only includes rectangle
roi = new Mat(in, bound);
// get the color
color = identifyColor(roi);
// copy input image to output image
in.copyTo(out);
} else {
// frame only includes rectangle
roi = new Mat(out, bound);
// get the color
color = identifyColor(roi);
}
Imgproc.cvtColor(roi, roi, Imgproc.COLOR_BGR2GRAY); // change to single color
Mat canny = new Mat();
Imgproc.Canny(roi, canny, 20, 40); // 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
System.out.println(++test + "\t" + contours.size());
if (contours.size() > 3) // or error value for color is below 1
{
switch (color) {
case COLOR_BLUE:
// Imgproc.rectangle(out, p1, p2, new Scalar(255, 0, 0), 2);
Core.rectangle(out, p1, p2, new Scalar(255, 0, 0), 2);
board[i] = CheckersBoard.BLACK; // end user's piece
break;
case COLOR_ORANGE:
// Imgproc.rectangle(out, p1, p2, new Scalar(0, 128, 255), 2);
Core.rectangle(out, p1, p2, new Scalar(0, 128, 255), 2);
board[i] = CheckersBoard.WHITE; // system's piece
break;
case COLOR_WHITE:
// Imgproc.rectangle(out, p1, p2, new Scalar(255, 255, 255), 2);
Core.rectangle(out, p1, p2, new Scalar(255, 255, 255), 2);
board[i] = CheckersBoard.EMPTY;
break;
case COLOR_BLACK: // this is black
// Imgproc.rectangle(out, p1, p2, new Scalar(0, 0, 0), 2);
Core.rectangle(
out,
p1,
p2,
new Scalar(0, 0, 0),
2); // maybe add 8, 0 as line type and fractional bits
board[i] = CheckersBoard.EMPTY;
break;
}
}
System.out.println("in color switch " + board[i]);
count += 2;
if (count == 8) {
parity = ++parity % 2; // change odd or even
count = 0;
rowNum++;
hsegment += 2;
dx -= 10;
dy += 10;
vsegment += 3;
ddy = 0;
}
}
}
/**
* 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;
}
}*/
}
private Mat getTrainImg() {
Mat img = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
Imgproc.line(img, new Point(40, 40), new Point(matSize - 40, matSize - 40), new Scalar(0), 8);
return img;
}