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0

I am working with OpenCV android target detection(Red Dot), and its working perfectly, but now i want to get red dot in given area(defined red square) only.
any one have a idea how to do?

thats my code

// down-scale and upscale the image to filter out the noise
Imgproc.pyrDown(gray, downscaled, new Size(gray.cols() / 2, gray.rows() / 2));
Imgproc.pyrUp(downscaled, upscaled, gray.size());

 if (DETECT_RED_OBJECTS_ONLY ) 
 // convert the image from RGBA to HSV
 Imgproc.cvtColor(gray, hsv, Imgproc.COLOR_RGB2HSV);
 // threshold the image for the lower and upper HSV red range
 Core.inRange(hsv, HSV_LOW_RED1, HSV_LOW_RED2, lowerRedRange);
 Core.inRange(hsv, HSV_HIGH_RED1, HSV_HIGH_RED2, upperRedRange);
 // put the two thresholded images together
 Core.addWeighted(lowerRedRange, 1.0, upperRedRange, 1.0, 0.0, bw);
 // apply canny to get edges only
 Imgproc.Canny(bw, bw, 0, 255);
 else 
 // Use Canny instead of threshold to catch squares with gradient shading
 Imgproc.Canny(gray, bw, 0, 255);
 


 // dilate canny output to remove potential
 // holes between edge segments
 Imgproc.dilate(bw, bw, new Mat(), new Point(-1, 1), 1);

 // find contours and store them all as a list
 List<MatOfPoint> contours = new ArrayList<>();
 contourImage = bw.clone();
 Imgproc.findContours(
 contourImage,
 contours,
 hierarchyOutputVector,
 Imgproc.RETR_EXTERNAL,
 Imgproc.CHAIN_APPROX_SIMPLE
 );

 // loop over all found contours
 for (MatOfPoint cnt : contours) {
 MatOfPoint2f curve = new MatOfPoint2f(cnt.toArray());

 // approximates a polygonal curve with the specified precision
 Imgproc.approxPolyDP(curve,approxCurve,0.02 * Imgproc.arcLength(curve, true),true);
 int numberVertices = (int) approxCurve.total();
 double contourArea = Imgproc.contourArea(cnt);

 // ignore to small areas
 if (Math.abs(contourArea) < 100
 // || !Imgproc.isContourConvex(
 ) 
 continue;
 

android opencv reddot

share|improve this question

edited yesterday

Mr. Programmer

asked yesterday

Mr. ProgrammerMr. Programmer

96

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  You should use ROI but since you did not supply us a minimum code example, I cannot tell you more.
  
  – Celal Ergün
  yesterday
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  hey Celal Ergün thanks for reply, check my edited question
  
  – Mr. Programmer
  yesterday
  
  

  
  
  
  

add a comment | 

0

I am working with OpenCV android target detection(Red Dot), and its working perfectly, but now i want to get red dot in given area(defined red square) only.
any one have a idea how to do?

thats my code

// down-scale and upscale the image to filter out the noise
Imgproc.pyrDown(gray, downscaled, new Size(gray.cols() / 2, gray.rows() / 2));
Imgproc.pyrUp(downscaled, upscaled, gray.size());

 if (DETECT_RED_OBJECTS_ONLY ) 
 // convert the image from RGBA to HSV
 Imgproc.cvtColor(gray, hsv, Imgproc.COLOR_RGB2HSV);
 // threshold the image for the lower and upper HSV red range
 Core.inRange(hsv, HSV_LOW_RED1, HSV_LOW_RED2, lowerRedRange);
 Core.inRange(hsv, HSV_HIGH_RED1, HSV_HIGH_RED2, upperRedRange);
 // put the two thresholded images together
 Core.addWeighted(lowerRedRange, 1.0, upperRedRange, 1.0, 0.0, bw);
 // apply canny to get edges only
 Imgproc.Canny(bw, bw, 0, 255);
 else 
 // Use Canny instead of threshold to catch squares with gradient shading
 Imgproc.Canny(gray, bw, 0, 255);
 


 // dilate canny output to remove potential
 // holes between edge segments
 Imgproc.dilate(bw, bw, new Mat(), new Point(-1, 1), 1);

 // find contours and store them all as a list
 List<MatOfPoint> contours = new ArrayList<>();
 contourImage = bw.clone();
 Imgproc.findContours(
 contourImage,
 contours,
 hierarchyOutputVector,
 Imgproc.RETR_EXTERNAL,
 Imgproc.CHAIN_APPROX_SIMPLE
 );

 // loop over all found contours
 for (MatOfPoint cnt : contours) {
 MatOfPoint2f curve = new MatOfPoint2f(cnt.toArray());

 // approximates a polygonal curve with the specified precision
 Imgproc.approxPolyDP(curve,approxCurve,0.02 * Imgproc.arcLength(curve, true),true);
 int numberVertices = (int) approxCurve.total();
 double contourArea = Imgproc.contourArea(cnt);

 // ignore to small areas
 if (Math.abs(contourArea) < 100
 // || !Imgproc.isContourConvex(
 ) 
 continue;
 

android opencv reddot

share|improve this question

edited yesterday

Mr. Programmer

asked yesterday

Mr. ProgrammerMr. Programmer

96

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  You should use ROI but since you did not supply us a minimum code example, I cannot tell you more.
  
  – Celal Ergün
  yesterday
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  hey Celal Ergün thanks for reply, check my edited question
  
  – Mr. Programmer
  yesterday
  
  

  
  
  
  

add a comment | 

I am working with OpenCV android target detection(Red Dot), and its working perfectly, but now i want to get red dot in given area(defined red square) only.
any one have a idea how to do?

thats my code

// down-scale and upscale the image to filter out the noise
Imgproc.pyrDown(gray, downscaled, new Size(gray.cols() / 2, gray.rows() / 2));
Imgproc.pyrUp(downscaled, upscaled, gray.size());

 if (DETECT_RED_OBJECTS_ONLY ) 
 // convert the image from RGBA to HSV
 Imgproc.cvtColor(gray, hsv, Imgproc.COLOR_RGB2HSV);
 // threshold the image for the lower and upper HSV red range
 Core.inRange(hsv, HSV_LOW_RED1, HSV_LOW_RED2, lowerRedRange);
 Core.inRange(hsv, HSV_HIGH_RED1, HSV_HIGH_RED2, upperRedRange);
 // put the two thresholded images together
 Core.addWeighted(lowerRedRange, 1.0, upperRedRange, 1.0, 0.0, bw);
 // apply canny to get edges only
 Imgproc.Canny(bw, bw, 0, 255);
 else 
 // Use Canny instead of threshold to catch squares with gradient shading
 Imgproc.Canny(gray, bw, 0, 255);
 


 // dilate canny output to remove potential
 // holes between edge segments
 Imgproc.dilate(bw, bw, new Mat(), new Point(-1, 1), 1);

 // find contours and store them all as a list
 List<MatOfPoint> contours = new ArrayList<>();
 contourImage = bw.clone();
 Imgproc.findContours(
 contourImage,
 contours,
 hierarchyOutputVector,
 Imgproc.RETR_EXTERNAL,
 Imgproc.CHAIN_APPROX_SIMPLE
 );

 // loop over all found contours
 for (MatOfPoint cnt : contours) {
 MatOfPoint2f curve = new MatOfPoint2f(cnt.toArray());

 // approximates a polygonal curve with the specified precision
 Imgproc.approxPolyDP(curve,approxCurve,0.02 * Imgproc.arcLength(curve, true),true);
 int numberVertices = (int) approxCurve.total();
 double contourArea = Imgproc.contourArea(cnt);

 // ignore to small areas
 if (Math.abs(contourArea) < 100
 // || !Imgproc.isContourConvex(
 ) 
 continue;
 

android opencv reddot

share|improve this question

edited yesterday

Mr. Programmer

asked yesterday

Mr. ProgrammerMr. Programmer

96

 if (DETECT_RED_OBJECTS_ONLY ) 
 // convert the image from RGBA to HSV
 Imgproc.cvtColor(gray, hsv, Imgproc.COLOR_RGB2HSV);
 // threshold the image for the lower and upper HSV red range
 Core.inRange(hsv, HSV_LOW_RED1, HSV_LOW_RED2, lowerRedRange);
 Core.inRange(hsv, HSV_HIGH_RED1, HSV_HIGH_RED2, upperRedRange);
 // put the two thresholded images together
 Core.addWeighted(lowerRedRange, 1.0, upperRedRange, 1.0, 0.0, bw);
 // apply canny to get edges only
 Imgproc.Canny(bw, bw, 0, 255);
 else 
 // Use Canny instead of threshold to catch squares with gradient shading
 Imgproc.Canny(gray, bw, 0, 255);
 


 // dilate canny output to remove potential
 // holes between edge segments
 Imgproc.dilate(bw, bw, new Mat(), new Point(-1, 1), 1);

 // find contours and store them all as a list
 List<MatOfPoint> contours = new ArrayList<>();
 contourImage = bw.clone();
 Imgproc.findContours(
 contourImage,
 contours,
 hierarchyOutputVector,
 Imgproc.RETR_EXTERNAL,
 Imgproc.CHAIN_APPROX_SIMPLE
 );

 // loop over all found contours
 for (MatOfPoint cnt : contours) {
 MatOfPoint2f curve = new MatOfPoint2f(cnt.toArray());

 // approximates a polygonal curve with the specified precision
 Imgproc.approxPolyDP(curve,approxCurve,0.02 * Imgproc.arcLength(curve, true),true);
 int numberVertices = (int) approxCurve.total();
 double contourArea = Imgproc.contourArea(cnt);

 // ignore to small areas
 if (Math.abs(contourArea) < 100
 // || !Imgproc.isContourConvex(
 ) 
 continue;
 

android opencv reddot

android opencv reddot

share|improve this question

edited yesterday

Mr. Programmer

asked yesterday

Mr. ProgrammerMr. Programmer

96

share|improve this question

edited yesterday

Mr. Programmer

asked yesterday

Mr. ProgrammerMr. Programmer

96

asked yesterday

Mr. ProgrammerMr. Programmer

96

asked yesterday

Mr. ProgrammerMr. Programmer

96