Java Code Examples for org.opencv.imgproc.Imgproc#adaptiveThreshold()
The following examples show how to use
org.opencv.imgproc.Imgproc#adaptiveThreshold() .
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Example 1
| Source File: OCRProcessor.java From Camdroid with Apache License 2.0 | 8 votes |
|
protected void execute() {
out = gray();
Imgproc.equalizeHist(out, out);
Core.normalize(out, out, min, max, Core.NORM_MINMAX);
Imgproc.adaptiveThreshold(out, out, 255, Imgproc.THRESH_BINARY,
Imgproc.ADAPTIVE_THRESH_MEAN_C, blocksize, reduction);
byte[] data = new byte[(int) out.total()];
out.get(0, 0, data);
this.tessBaseAPI.setImage(data, out.width(), out.height(),
out.channels(), (int) out.step1());
String utf8Text = this.tessBaseAPI.getUTF8Text();
int score = this.tessBaseAPI.meanConfidence();
this.tessBaseAPI.clear();
if (score >= SIMPLETEXT_MIN_SCORE && utf8Text.length() > 0) {
simpleText = utf8Text;
} else {
simpleText = new String();
}
}
Example 2
| Source File: ImageProcessor.java From Document-Scanner with GNU General Public License v3.0 | 7 votes |
|
private void enhanceDocument( Mat src ) {
if (colorMode && filterMode) {
src.convertTo(src,-1, colorGain , colorBias);
Mat mask = new Mat(src.size(), CvType.CV_8UC1);
Imgproc.cvtColor(src,mask,Imgproc.COLOR_RGBA2GRAY);
Mat copy = new Mat(src.size(), CvType.CV_8UC3);
src.copyTo(copy);
Imgproc.adaptiveThreshold(mask,mask,255,Imgproc.ADAPTIVE_THRESH_MEAN_C,Imgproc.THRESH_BINARY_INV,15,15);
src.setTo(new Scalar(255,255,255));
copy.copyTo(src,mask);
copy.release();
mask.release();
// special color threshold algorithm
colorThresh(src,colorThresh);
} else if (!colorMode) {
Imgproc.cvtColor(src,src,Imgproc.COLOR_RGBA2GRAY);
if (filterMode) {
Imgproc.adaptiveThreshold(src, src, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 15, 15);
}
}
}
Example 3
| Source File: MainActivity.java From MOAAP with MIT License | 6 votes |
|
@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;
}
}
Example 4
| Source File: MainActivity.java From SimpleDocumentScanner-Android with MIT License | 6 votes |
|
/**
* Apply a threshold to give the "scanned" look
*
* NOTE:
* See the following link for more info http://docs.opencv.org/3.1.0/d7/d4d/tutorial_py_thresholding.html#gsc.tab=0
* @param src A valid Mat
* @return The processed Bitmap
*/
private Bitmap applyThreshold(Mat src) {
Imgproc.cvtColor(src, src, Imgproc.COLOR_BGR2GRAY);
// Some other approaches
// Imgproc.adaptiveThreshold(src, src, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 15, 15);
// Imgproc.threshold(src, src, 0, 255, Imgproc.THRESH_BINARY + Imgproc.THRESH_OTSU);
Imgproc.GaussianBlur(src, src, new Size(5, 5), 0);
Imgproc.adaptiveThreshold(src, src, 255, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C, Imgproc.THRESH_BINARY, 11, 2);
Bitmap bm = Bitmap.createBitmap(src.width(), src.height(), Bitmap.Config.ARGB_8888);
org.opencv.android.Utils.matToBitmap(src, bm);
return bm;
}
Example 5
| Source File: HighGuiUtil.java From javautils with Apache License 2.0 | 5 votes |
|
/**
* 二值化
*
* @param oriImg
* @param outputImg
*/
public static void binarization(String oriImg, String outputImg) {
Mat img = Highgui.imread(oriImg);
Imgproc.cvtColor(img, img, Imgproc.COLOR_RGB2GRAY);
//
Imgproc.adaptiveThreshold(img, img, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY_INV, 25, 10);
Highgui.imwrite(outputImg, img);
}
Example 6
| Source File: DigitRecognizer.java From MOAAP with MIT License | 5 votes |
|
int FindMatch(Mat test_image)
{
//Dilate the image
Imgproc.dilate(test_image, test_image, Imgproc.getStructuringElement(Imgproc.CV_SHAPE_CROSS, new Size(3,3)));
//Resize the image to match it with the sample image size
Imgproc.resize(test_image, test_image, new Size(width, height));
//Convert the image to grayscale
Imgproc.cvtColor(test_image, test_image, Imgproc.COLOR_RGB2GRAY);
//Adaptive Threshold
Imgproc.adaptiveThreshold(test_image,test_image,255,Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY_INV,15, 2);
Mat test = new Mat(1, test_image.rows() * test_image.cols(), CvType.CV_32FC1);
int count = 0;
for(int i = 0 ; i < test_image.rows(); i++)
{
for(int j = 0 ; j < test_image.cols(); j++) {
test.put(0, count, test_image.get(i, j)[0]);
count++;
}
}
Mat results = new Mat(1, 1, CvType.CV_8U);
//K-NN Prediction
//return (int)knn.findNearest(test, 10, results);
//SVM Prediction
return (int)svm.predict(test);
}
Example 7
| Source File: AdaptiveThresholdProcessor.java From Camdroid with Apache License 2.0 | 5 votes |
|
protected void execute() {
Mat gray = gray();
Imgproc.adaptiveThreshold(gray, out, 255,
Imgproc.THRESH_BINARY_INV, Imgproc.ADAPTIVE_THRESH_MEAN_C,
blocksize, reduction);
}
Example 8
| Source File: BinaryUtils.java From super-cloudops with Apache License 2.0 | 2 votes |
|
/**
* opencv自带的二值化
*
* @param src
* @return
*/
public static Mat binaryNative(Mat src) {
Mat dst = src.clone();
Imgproc.adaptiveThreshold(src, dst, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 25, 10);
return dst;
}
