本文整理汇总了Java中org.opencv.imgproc.Imgproc.filter2D方法的典型用法代码示例。如果您正苦于以下问题：Java Imgproc.filter2D方法的具体用法？Java Imgproc.filter2D怎么用？Java Imgproc.filter2D使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.opencv.imgproc.Imgproc的用法示例。
在下文中一共展示了Imgproc.filter2D方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: buildGaussianPyramid
import org.opencv.imgproc.Imgproc; //导入方法依赖的package包/类
public static Mat[] buildGaussianPyramid(Mat img, int level) {
Mat[] gaussPyr = new Mat[level];
Mat mask = filterMask(img);
Mat tmp = new Mat();
Imgproc.filter2D(img, tmp, -1, mask);
gaussPyr[0] = tmp.clone();
Mat tmpImg = img.clone();
for (int i = 1; i < level; i++) {
// resize image
Imgproc.resize(tmpImg, tmpImg, new Size(), 0.5, 0.5, Imgproc.INTER_LINEAR);
// blur image
tmp = new Mat();
Imgproc.filter2D(tmpImg, tmp, -1, mask);
gaussPyr[i] = tmp.clone();
}
return gaussPyr;
}
示例2: LocalContrast
import org.opencv.imgproc.Imgproc; //导入方法依赖的package包/类
public static Mat LocalContrast(Mat img) {
double[] h = { 1.0 / 16.0, 4.0 / 16.0, 6.0 / 16.0, 4.0 / 16.0, 1.0 / 16.0 };
Mat mask = new Mat(h.length, h.length, img.type());
for (int i = 0; i < h.length; i++) {
for (int j = 0; j < h.length; j++) {
mask.put(i, j, h[i] * h[j]);
}
}
Mat localContrast = new Mat();
Imgproc.filter2D(img, localContrast, img.depth(), mask);
for (int i = 0; i < localContrast.rows(); i++) {
for (int j = 0; j < localContrast.cols(); j++) {
if (localContrast.get(i, j)[0] > Math.PI / 2.75) localContrast.put(i, j, Math.PI / 2.75);
}
}
Core.subtract(img, localContrast, localContrast);
return localContrast.mul(localContrast);
}
示例3: LocalContrast
import org.opencv.imgproc.Imgproc; //导入方法依赖的package包/类
public static Mat LocalContrast(Mat img) {
double[] h = { 1.0 / 16.0, 4.0 / 16.0, 6.0 / 16.0, 4.0 / 16.0, 1.0 / 16.0 };
Mat mask = new Mat(h.length, h.length, img.type());
for (int i = 0; i < h.length; i++) {
for (int j = 0; j < h.length; j++) {
mask.put(i, j, h[i] * h[j]);
}
}
Mat localContrast = new Mat();
Imgproc.filter2D(img, localContrast, img.depth(), mask);
for (int i = 0; i < localContrast.rows(); i++) {
for (int j = 0; j < localContrast.cols(); j++) {
if (localContrast.get(i, j)[0] > Math.PI / 2.75)
localContrast.put(i, j, Math.PI / 2.75);
}
}
Core.subtract(img, localContrast, localContrast);
return localContrast.mul(localContrast);
}
示例4: onActivityResult
import org.opencv.imgproc.Imgproc; //导入方法依赖的package包/类
@Override
protected void onActivityResult(int requestCode, int resultCode, Intent imageReturnedIntent) {
//Put it there, just in case:)
super.onActivityResult(requestCode, resultCode, imageReturnedIntent);
switch(requestCode) {
case SELECT_PHOTO:
if(resultCode == RESULT_OK && read_external_storage_granted){
try {
final Uri imageUri = imageReturnedIntent.getData();
final InputStream imageStream = getContentResolver().openInputStream(imageUri);
final Bitmap selectedImage = BitmapFactory.decodeStream(imageStream);
src = new Mat(selectedImage.getHeight(), selectedImage.getWidth(), CvType.CV_8UC4);
Utils.bitmapToMat(selectedImage, src);
src_gray = new Mat(selectedImage.getHeight(), selectedImage.getWidth(), CvType.CV_8UC1);
switch (ACTION_MODE) {
case HomeActivity.GAUSSIAN_BLUR:
Imgproc.GaussianBlur(src, src, new Size(9, 9), 0);
break;
case HomeActivity.MEAN_BLUR:
Imgproc.blur(src, src, new Size(9, 9));
break;
case HomeActivity.MEDIAN_BLUR:
Imgproc.medianBlur(src, src, 9);
break;
case HomeActivity.SHARPEN:
Mat kernel = new Mat(3, 3, CvType.CV_16SC1);
//int[] values = {0, -1, 0, -1, 5, -1, 0, -1, 0};
Log.d("imageType", CvType.typeToString(src.type()) + "");
kernel.put(0, 0, 0, -1, 0, -1, 5, -1, 0, -1, 0);
Imgproc.filter2D(src, src, src_gray.depth(), kernel);
break;
case HomeActivity.DILATE:
Imgproc.cvtColor(src, src_gray, Imgproc.COLOR_BGR2GRAY);
Imgproc.threshold(src_gray, src_gray, 100, 255, Imgproc.THRESH_BINARY);
Mat kernelDilate = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(3, 3));
Imgproc.dilate(src_gray, src_gray, kernelDilate);
Imgproc.cvtColor(src_gray, src, Imgproc.COLOR_GRAY2RGBA, 4);
break;
case HomeActivity.ERODE:
Imgproc.cvtColor(src, src_gray, Imgproc.COLOR_BGR2GRAY);
Imgproc.threshold(src_gray, src_gray, 100, 255, Imgproc.THRESH_BINARY);
Mat kernelErode = Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, new Size(5, 5));
Imgproc.erode(src_gray, src_gray, kernelErode);
Imgproc.cvtColor(src_gray, src, Imgproc.COLOR_GRAY2RGBA, 4);
break;
case HomeActivity.THRESHOLD:
Imgproc.cvtColor(src, src_gray, Imgproc.COLOR_BGR2GRAY);
Imgproc.threshold(src_gray, src_gray, 100, 255, Imgproc.THRESH_BINARY);
Imgproc.cvtColor(src_gray, src, Imgproc.COLOR_GRAY2RGBA, 4);
break;
case HomeActivity.ADAPTIVE_THRESHOLD:
Imgproc.cvtColor(src, src_gray, Imgproc.COLOR_BGR2GRAY);
Imgproc.adaptiveThreshold(src_gray, src_gray, 255, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C, Imgproc.THRESH_BINARY, 3, 0);
Imgproc.cvtColor(src_gray, src, Imgproc.COLOR_GRAY2RGBA, 4);
break;
}
Bitmap processedImage = Bitmap.createBitmap(src.cols(), src.rows(), Bitmap.Config.ARGB_8888);
Log.i("imageType", CvType.typeToString(src.type()) + "");
Utils.matToBitmap(src, processedImage);
ivImage.setImageBitmap(selectedImage);
ivImageProcessed.setImageBitmap(processedImage);
Log.i("process", "process done");
} catch (FileNotFoundException e) {
e.printStackTrace();
}
}
break;
}
}