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BinaryImageOps.erode8
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How to use
erode8
method
in
boofcv.alg.filter.binary.BinaryImageOps

Best Java code snippets using boofcv.alg.filter.binary.BinaryImageOps.erode8 (Showing top 5 results out of 315)

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}
origin: org.boofcv/recognition

public boolean process(T gray) {
  binary.reshape(gray.width, gray.height);
  eroded.reshape(gray.width, gray.height);
  inputToBinary.process(gray,binary);
  // erode to make the squares separated
  BinaryImageOps.erode8(binary, 1, eroded);
  return findSeeds.process(gray, eroded);
}
origin: org.boofcv/demonstrations

public void process( final GrayU8 input ) {
  // threshold the input image
  inputToBinary.process(input,binary);
  // reduce noise with some filtering
  BinaryImageOps.erode8(binary, 1, filtered);
  BinaryImageOps.dilate8(filtered, 1, binary);
  // Find the contour around the shapes
  contours = BinaryImageOps.contour(binary, ConnectRule.EIGHT,null);
  processImage = true;
  viewUpdated();
}
origin: us.ihmc/DarpaRoboticsChallenge

binary = BinaryImageOps.erode8(binary, 1,null);
origin: us.ihmc/DarpaRoboticsChallenge

public BufferedImage findRoad(BufferedImage src)
{
 // convert into a usable format
 ImageFloat32 input = ConvertBufferedImage.convertFromSingle(src, null, ImageFloat32.class);
 ImageUInt8 binary = new ImageUInt8(input.width, input.height);
 ImageSInt32 blobs = new ImageSInt32(input.width, input.height);
 // the mean pixel value is often a reasonable threshold when creating a binary image
 double mean = ImageStatistics.mean(input);
 // create a binary image
 ThresholdImageOps.threshold(input, binary, (float) mean, true);
 // remove small blobs through erosion and dilation
 // The null in the input indicates that it should internally declare the work image it needs
 // this is less efficient, but easier to code.
 for (int i = 0; i < 1; i++)
 {
   binary = BinaryImageOps.erode8(binary,1, null);
 }
 for (int i = 0; i < 2; i++)
 {
   binary = BinaryImageOps.dilate8(binary,1, null);
 }
 // Detect blobs inside the binary image and assign labels to them
 List<Contour> blobContours = BinaryImageOps.contour(binary, ConnectRule.FOUR, blobs);
 int numBlobs = filterBlobsNotTouchingEdges(blobs, blobContours.size());
 // Render the binary image for output and display it in a window
 BufferedImage dst = VisualizeBinaryData.renderLabeled(blobs, numBlobs, null);
 return dst;
}
origin: lessthanoptimal/BoofAndroidDemo

BinaryImageOps.erode8(binary, 1, afterOps);
break;
boofcv.alg.filter.binaryBinaryImageOpserode8

Javadoc

Erodes an image according to a 8-neighborhood. Unless a pixel is connected to all its neighbors its value is set to zero.

Popular methods of BinaryImageOps

  • contour
  • dilate8
  • selectRandomColors
    Several blob rending functions take in an array of colors so that the random blobs can be drawn with
  • convertContours
  • relabel
  • dilate4
    Dilates an image according to a 4-neighborhood. If a pixel is connected to any other pixel then its
  • edge4
    Binary operation which is designed to remove all pixels but ones which are on the edge of an object
  • edge8
    Binary operation which is designed to remove all pixels but ones which are on the edge of an object
  • erode4
    Erodes an image according to a 4-neighborhood. Unless a pixel is connected to all its neighbors its
  • invert
    Inverts each pixel from true to false and vis-versa.
  • labelToBinary
    Only converts the specified blobs over into the binary image
  • removePointNoise
    Binary operation which is designed to remove small bits of spurious noise. An 8-neighborhood is used
  • labelToBinary,
  • removePointNoise,
  • thin

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