Hi i am working on a small Android project using Java where one of the so many functions is to detect rectangular (contains data) and crop the images into several different images (depend on the rectangular the image contains.) then store the images on internal storage (for other process).
I am very new at openCV. i have not done any openCV project. Is there anyone who can help me to guide how i can achieve this? i found some helps but all of them are in python which i have very less knowledge. Thanks in advance.
can anyone please provide some guidance to do so.. ?
This is what i did so far--
public class ProcessesdResult extends AppCompatActivity {
TextView tvProcessedText;
Bitmap image;
String photoPath;
Mat imageMat;
ImageView ProcessedImage;
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
OpenCVLoader.initDebug();
setContentView(R.layout.activity_processesd_result);
Intent intenttakeattendance = getIntent();
String fname = intenttakeattendance.getStringExtra("fname");
String root = Environment.getExternalStorageDirectory().toString();
File myDir = new File(root);
photoPath = myDir+"/sams_images/"+ fname;
BitmapFactory.Options options = new BitmapFactory.Options();
options.inPreferredConfig = Bitmap.Config.ARGB_8888;
image = BitmapFactory.decodeFile(photoPath, options);
ProcessedImage = findViewById(R.id.processedimage);
// tvProcessedText = findViewById(R.id.tvprocessedtext);
//imageProcess(image);
imageCrop(image);
}
public void imageCrop(Bitmap bitmap){
imageMat=new Mat();
Utils.bitmapToMat(bitmap,imageMat);
Mat imgSource=imageMat.clone();
Mat imageHSV = new Mat(imgSource.size(), CvType.CV_8UC4);
Mat imageBlurr = new Mat(imgSource.size(),CvType.CV_8UC4);
Mat imageA = new Mat(imgSource.size(), CvType.CV_32F);
Imgproc.cvtColor(imgSource, imageHSV, Imgproc.COLOR_BGR2GRAY);
Imgproc.GaussianBlur(imageHSV, imageBlurr, new Size(5,5), 0);
Imgproc.adaptiveThreshold(imageBlurr, imageA, 255,Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY,7, 5);
List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
Imgproc.findContours(imageA, contours, new Mat(), Imgproc.RETR_LIST,Imgproc.CHAIN_APPROX_SIMPLE);
Vector<Mat> rectangles = new Vector<Mat>();
for(int i=0; i< contours.size();i++){
if (Imgproc.contourArea(contours.get(i)) > 50 )
{
Rect rect = Imgproc.boundingRect(contours.get(i));
if ((rect.height > 30 && rect.height < 120) && (rect.width > 120 && rect.width < 500))
{
Rect rec = new Rect(rect.x, rect.y, rect.width, rect.height);
rectangles.add(new Mat(imgSource, rec));
Imgproc.rectangle(imgSource, new Point(rect.x,rect.y), new Point(rect.x+rect.width,rect.y+rect.height),new Scalar(0,0,255));
}
}
}
Bitmap analyzed=Bitmap.createBitmap(imgSource.cols(),imgSource.rows(),Bitmap.Config.ARGB_8888);
Utils.matToBitmap(imgSource,analyzed);
saveTempImage(analyzed);
ProcessedImage.setImageBitmap(analyzed);
}
/*------------------------------------ Store Image -------------------------------------------*/
public void saveTempImage(Bitmap bitmap) {
if (isExternalStorageWritable()) {
saveImage(bitmap);
}else{
Toast.makeText(this, "Please provide permission to write on the Storage!", Toast.LENGTH_SHORT).show();
}
}
private void saveImage(Bitmap finalBitmap) {
String root = Environment.getExternalStorageDirectory().toString();
File myDir = new File(root + "/sams_images");
if (! myDir.exists()){
myDir.mkdir();
// If you require it to make the entire directory path including parents,
// use directory.mkdirs(); here instead.
}
String timeStamp = new SimpleDateFormat("yyyyMMdd_HHmm").format(new Date());
String fname = timeStamp +".jpg";
File file = new File(myDir, fname);
if (file.exists()) file.delete ();
try {
FileOutputStream out = new FileOutputStream(file);
finalBitmap.compress(Bitmap.CompressFormat.JPEG, 100, out);
out.flush();
out.close();
} catch (Exception e) {
e.printStackTrace();
}
}
/* Checks if external storage is available for read and write */
public boolean isExternalStorageWritable() {
String state = Environment.getExternalStorageState();
if (Environment.MEDIA_MOUNTED.equals(state)) {
return true;
}
return false;
}
/*------------------------------------ ************* -----------------------------------------*/
}
I cannot help but notice the processed image has a bit of greenish tint (which the captured image did not have). How to avoid that..?? How to crop all the rectangles as bitmap and store those individually rather than a single file in the internal storage. Thank you in advance
