Created
January 22, 2015 21:09
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Example of using a convolution kernel to implement a Laplacian filter in OpenCV for Processing. Example output: https://www.flickr.com/photos/unavoidablegrain/16342382412/
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import gab.opencv.*; | |
import org.opencv.imgproc.Imgproc; | |
import org.opencv.core.Mat; | |
import org.opencv.core.CvType; | |
OpenCV opencv; | |
PImage img; | |
void setup() { | |
img = loadImage("arch_sunset.jpg"); | |
size(img.width*2, img.height); | |
opencv = new OpenCV(this, img); | |
int kernelSize = 9; | |
Mat kernel = new Mat(kernelSize, kernelSize, CvType.CV_32F); | |
kernel.put(0, 0, 0); | |
kernel.put(0, 1, -1); | |
kernel.put(0, 2, 0); | |
kernel.put(1, 0, -1); | |
kernel.put(1, 1, 4); | |
kernel.put(1, 2, -1); | |
kernel.put(2, 0, 0); | |
kernel.put(2, 1, -1); | |
kernel.put(2, 2, 0); | |
Imgproc.filter2D(opencv.getGray(), opencv.getGray(), -1, kernel); | |
noLoop(); | |
} | |
void draw() { | |
image(img, 0, 0); | |
image(opencv.getOutput(), img.width, 0); | |
} |
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I hit this accidentally, by the way...
there is an error at
new Mat
, because you are using a 3x3 laplacian, but creating 9x9.kernelSize is in rows x cols, before multiply ;)