public void templateMatching() {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
int match_method = 5;
int max_Trackbar = 5;
Mat data = Highgui.imread("images/training_data/1" + "/data (" + 1 + ").jpg");
Mat temp = Highgui.imread("images/template.jpg");
Mat img = data.clone();
int result_cols = img.cols() - temp.cols() + 1;
int result_rows = img.rows() - temp.rows() + 1;
Mat result = new Mat(result_rows, result_cols, CvType.CV_32FC1);
Imgproc.matchTemplate(img, temp, result, match_method);
Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new Mat());
double minVal;
double maxVal;
Point minLoc;
Point maxLoc;
Point matchLoc;
// minMaxLoc( result, &minVal, &maxVal, &minLoc, &maxLoc, Mat() );
Core.MinMaxLocResult res = Core.minMaxLoc(result);
if (match_method == Imgproc.TM_SQDIFF || match_method == Imgproc.TM_SQDIFF_NORMED) {
matchLoc = res.minLoc;
} else {
matchLoc = res.maxLoc;
}
// / Show me what you got
Core.rectangle(
img,
matchLoc,
new Point(matchLoc.x + temp.cols(), matchLoc.y + temp.rows()),
new Scalar(0, 255, 0));
// Save the visualized detection.
Highgui.imwrite("images/samp.jpg", img);
}
public Mat onCameraFrame(Mat inputFrame) {
inputFrame.copyTo(mRgba);
switch (ImageManipulationsActivity.viewMode) {
case ImageManipulationsActivity.VIEW_MODE_RGBA:
break;
case ImageManipulationsActivity.VIEW_MODE_HIST:
if ((mSizeRgba == null)
|| (mRgba.cols() != mSizeRgba.width)
|| (mRgba.height() != mSizeRgba.height)) CreateAuxiliaryMats();
int thikness = (int) (mSizeRgba.width / (mHistSizeNum + 10) / 5);
if (thikness > 5) thikness = 5;
int offset = (int) ((mSizeRgba.width - (5 * mHistSizeNum + 4 * 10) * thikness) / 2);
// RGB
for (int c = 0; c < 3; c++) {
Imgproc.calcHist(Arrays.asList(mRgba), mChannels[c], mMat0, mHist, mHistSize, mRanges);
Core.normalize(mHist, mHist, mSizeRgba.height / 2, 0, Core.NORM_INF);
mHist.get(0, 0, mBuff);
for (int h = 0; h < mHistSizeNum; h++) {
mP1.x = mP2.x = offset + (c * (mHistSizeNum + 10) + h) * thikness;
mP1.y = mSizeRgba.height - 1;
mP2.y = mP1.y - 2 - (int) mBuff[h];
Core.line(mRgba, mP1, mP2, mColorsRGB[c], thikness);
}
}
// Value and Hue
Imgproc.cvtColor(mRgba, mIntermediateMat, Imgproc.COLOR_RGB2HSV_FULL);
// Value
Imgproc.calcHist(
Arrays.asList(mIntermediateMat), mChannels[2], mMat0, mHist, mHistSize, mRanges);
Core.normalize(mHist, mHist, mSizeRgba.height / 2, 0, Core.NORM_INF);
mHist.get(0, 0, mBuff);
for (int h = 0; h < mHistSizeNum; h++) {
mP1.x = mP2.x = offset + (3 * (mHistSizeNum + 10) + h) * thikness;
mP1.y = mSizeRgba.height - 1;
mP2.y = mP1.y - 2 - (int) mBuff[h];
Core.line(mRgba, mP1, mP2, mWhilte, thikness);
}
// Hue
Imgproc.calcHist(
Arrays.asList(mIntermediateMat), mChannels[0], mMat0, mHist, mHistSize, mRanges);
Core.normalize(mHist, mHist, mSizeRgba.height / 2, 0, Core.NORM_INF);
mHist.get(0, 0, mBuff);
for (int h = 0; h < mHistSizeNum; h++) {
mP1.x = mP2.x = offset + (4 * (mHistSizeNum + 10) + h) * thikness;
mP1.y = mSizeRgba.height - 1;
mP2.y = mP1.y - 2 - (int) mBuff[h];
Core.line(mRgba, mP1, mP2, mColorsHue[h], thikness);
}
break;
case ImageManipulationsActivity.VIEW_MODE_CANNY:
if ((mRgbaInnerWindow == null)
|| (mGrayInnerWindow == null)
|| (mRgba.cols() != mSizeRgba.width)
|| (mRgba.height() != mSizeRgba.height)) CreateAuxiliaryMats();
Imgproc.Canny(mRgbaInnerWindow, mIntermediateMat, 80, 90);
Imgproc.cvtColor(mIntermediateMat, mRgbaInnerWindow, Imgproc.COLOR_GRAY2BGRA, 4);
break;
case ImageManipulationsActivity.VIEW_MODE_SOBEL:
Imgproc.cvtColor(mRgba, mGray, Imgproc.COLOR_RGBA2GRAY);
if ((mRgbaInnerWindow == null)
|| (mGrayInnerWindow == null)
|| (mRgba.cols() != mSizeRgba.width)
|| (mRgba.height() != mSizeRgba.height)) CreateAuxiliaryMats();
Imgproc.Sobel(mGrayInnerWindow, mIntermediateMat, CvType.CV_8U, 1, 1);
Core.convertScaleAbs(mIntermediateMat, mIntermediateMat, 10, 0);
Imgproc.cvtColor(mIntermediateMat, mRgbaInnerWindow, Imgproc.COLOR_GRAY2BGRA, 4);
break;
case ImageManipulationsActivity.VIEW_MODE_SEPIA:
Core.transform(mRgba, mRgba, mSepiaKernel);
break;
case ImageManipulationsActivity.VIEW_MODE_ZOOM:
if ((mZoomCorner == null)
|| (mZoomWindow == null)
|| (mRgba.cols() != mSizeRgba.width)
|| (mRgba.height() != mSizeRgba.height)) CreateAuxiliaryMats();
Imgproc.resize(mZoomWindow, mZoomCorner, mZoomCorner.size());
Size wsize = mZoomWindow.size();
Core.rectangle(
mZoomWindow,
new Point(1, 1),
new Point(wsize.width - 2, wsize.height - 2),
new Scalar(255, 0, 0, 255),
2);
break;
case ImageManipulationsActivity.VIEW_MODE_PIXELIZE:
if ((mRgbaInnerWindow == null)
|| (mRgba.cols() != mSizeRgba.width)
|| (mRgba.height() != mSizeRgba.height)) CreateAuxiliaryMats();
Imgproc.resize(mRgbaInnerWindow, mIntermediateMat, mSize0, 0.1, 0.1, Imgproc.INTER_NEAREST);
Imgproc.resize(
mIntermediateMat, mRgbaInnerWindow, mSizeRgbaInner, 0., 0., Imgproc.INTER_NEAREST);
break;
case ImageManipulationsActivity.VIEW_MODE_POSTERIZE:
if ((mRgbaInnerWindow == null)
|| (mRgba.cols() != mSizeRgba.width)
|| (mRgba.height() != mSizeRgba.height)) CreateAuxiliaryMats();
/*
Imgproc.cvtColor(mRgbaInnerWindow, mIntermediateMat, Imgproc.COLOR_RGBA2RGB);
Imgproc.pyrMeanShiftFiltering(mIntermediateMat, mIntermediateMat, 5, 50);
Imgproc.cvtColor(mIntermediateMat, mRgbaInnerWindow, Imgproc.COLOR_RGB2RGBA);
*/
Imgproc.Canny(mRgbaInnerWindow, mIntermediateMat, 80, 90);
mRgbaInnerWindow.setTo(new Scalar(0, 0, 0, 255), mIntermediateMat);
Core.convertScaleAbs(mRgbaInnerWindow, mIntermediateMat, 1. / 16, 0);
Core.convertScaleAbs(mIntermediateMat, mRgbaInnerWindow, 16, 0);
break;
}
return mRgba;
}