Java Code Examples for org.opencv.imgproc.Imgproc#pyrDown()
The following examples show how to use
org.opencv.imgproc.Imgproc#pyrDown() .
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Example 1
Source File: ColorBlobDetector.java From FaceT with Mozilla Public License 2.0 | 5 votes |
public void process(Mat rgbaImage) { Imgproc.pyrDown(rgbaImage, mPyrDownMat); Imgproc.pyrDown(mPyrDownMat, mPyrDownMat); Imgproc.cvtColor(mPyrDownMat, mHsvMat, Imgproc.COLOR_RGB2HSV_FULL); Core.inRange(mHsvMat, mLowerBound, mUpperBound, mMask); Imgproc.dilate(mMask, mDilatedMask, new Mat()); List<MatOfPoint> contours = new ArrayList<MatOfPoint>(); Imgproc.findContours(mDilatedMask, contours, mHierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE); // Find max contour area double maxArea = 0; Iterator<MatOfPoint> each = contours.iterator(); while (each.hasNext()) { MatOfPoint wrapper = each.next(); double area = Imgproc.contourArea(wrapper); if (area > maxArea) maxArea = area; } // Filter contours by area and resize to fit the original image size mContours.clear(); each = contours.iterator(); while (each.hasNext()) { MatOfPoint contour = each.next(); if (Imgproc.contourArea(contour) > mMinContourArea*maxArea) { Core.multiply(contour, new Scalar(4,4), contour); mContours.add(contour); } } }
Example 2
Source File: ColorBlobDetector.java From OpenCV-AndroidSamples with MIT License | 5 votes |
public void process(Mat rgbaImage) { Imgproc.pyrDown(rgbaImage, mPyrDownMat); Imgproc.pyrDown(mPyrDownMat, mPyrDownMat); Imgproc.cvtColor(mPyrDownMat, mHsvMat, Imgproc.COLOR_RGB2HSV_FULL); Core.inRange(mHsvMat, mLowerBound, mUpperBound, mMask); Imgproc.dilate(mMask, mDilatedMask, new Mat()); List<MatOfPoint> contours = new ArrayList<MatOfPoint>(); Imgproc.findContours(mDilatedMask, contours, mHierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE); // Find max contour area double maxArea = 0; Iterator<MatOfPoint> each = contours.iterator(); while (each.hasNext()) { MatOfPoint wrapper = each.next(); double area = Imgproc.contourArea(wrapper); if (area > maxArea) maxArea = area; } // Filter contours by area and resize to fit the original image size mContours.clear(); each = contours.iterator(); while (each.hasNext()) { MatOfPoint contour = each.next(); if (Imgproc.contourArea(contour) > mMinContourArea*maxArea) { Core.multiply(contour, new Scalar(4,4), contour); mContours.add(contour); } } }
Example 3
Source File: ColorBlobDetector.java From hand_finger_recognition_android with MIT License | 5 votes |
public void process(Mat rgbaImage) { Imgproc.pyrDown(rgbaImage, mPyrDownMat); Imgproc.pyrDown(mPyrDownMat, mPyrDownMat); Imgproc.cvtColor(mPyrDownMat, mHsvMat, Imgproc.COLOR_RGB2HSV_FULL); Core.inRange(mHsvMat, mLowerBound, mUpperBound, mMask); Imgproc.dilate(mMask, mDilatedMask, new Mat()); List<MatOfPoint> contours = new ArrayList<MatOfPoint>(); Imgproc.findContours(mDilatedMask, contours, mHierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE); // Find max contour area double maxArea = 0; Iterator<MatOfPoint> each = contours.iterator(); while (each.hasNext()) { MatOfPoint wrapper = each.next(); double area = Imgproc.contourArea(wrapper); if (area > maxArea) maxArea = area; } // Filter contours by area and resize to fit the original image size mContours.clear(); each = contours.iterator(); while (each.hasNext()) { MatOfPoint contour = each.next(); if (Imgproc.contourArea(contour) > mMinContourArea*maxArea) { Core.multiply(contour, new Scalar(4,4), contour); mContours.add(contour); } } }
Example 4
Source File: ColorBlobDetector.java From FTCVision with MIT License | 4 votes |
/** * Process an rgba image. The results can be drawn on retrieved later. * This method does not modify the image. * * @param rgbaImage An RGBA image matrix */ public void process(Mat rgbaImage) { Imgproc.pyrDown(rgbaImage, mPyrDownMat); Imgproc.pyrDown(mPyrDownMat, mPyrDownMat); Imgproc.cvtColor(mPyrDownMat, mHsvMat, Imgproc.COLOR_RGB2HSV_FULL); //Test whether we need two inRange operations (only if the hue crosses over 255) if (upperBound.getScalar().val[0] <= 255) { Core.inRange(mHsvMat, lowerBound.getScalar(), upperBound.getScalar(), mMask); } else { //We need two operations - we're going to OR the masks together Scalar lower = lowerBound.getScalar().clone(); Scalar upper = upperBound.getScalar().clone(); while (upper.val[0] > 255) upper.val[0] -= 255; double tmp = lower.val[0]; lower.val[0] = 0; //Mask 1 - from 0 to n Core.inRange(mHsvMat, lower, upper, mMaskOne); //Mask 2 - from 255-n to 255 lower.val[0] = tmp; upper.val[0] = 255; Core.inRange(mHsvMat, lower, upper, mMask); //OR the two masks Core.bitwise_or(mMaskOne, mMask, mMask); } //Dilate (blur) the mask to decrease processing power Imgproc.dilate(mMask, mDilatedMask, new Mat()); List<MatOfPoint> contourListTemp = new ArrayList<>(); Imgproc.findContours(mDilatedMask, contourListTemp, mHierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE); // Filter contours by area and resize to fit the original image size contours.clear(); for (MatOfPoint c : contourListTemp) { Core.multiply(c, new Scalar(4, 4), c); contours.add(new Contour(c)); } }
Example 5
Source File: Filter.java From FTCVision with MIT License | 2 votes |
/** * Downsample and blur an image (using a Gaussian pyramid kernel) * * @param img The image * @param scale The scale, a number greater than 1 */ public static void downsample(Mat img, double scale) { Imgproc.pyrDown(img, img, new Size((double) img.width() / scale, (double) img.height() / scale)); }