问题
I am using BoofCV version 0.27 for Android, I am detecting a rectangle in a image. For this, I am using the following as given here
public static void fitCannyBinary( GrayF32 input ) {
BufferedImage displayImage = new BufferedImage(input.width,input.height,BufferedImage.TYPE_INT_RGB);
GrayU8 binary = new GrayU8(input.width,input.height);
// Finds edges inside the image
CannyEdge<GrayF32,GrayF32> canny =
FactoryEdgeDetectors.canny(2, false, true, GrayF32.class, GrayF32.class);
canny.process(input,0.1f,0.3f,binary);
// Only external contours are relevant
List<Contour> contours = BinaryImageOps.contourExternal(binary, ConnectRule.EIGHT);
Graphics2D g2 = displayImage.createGraphics();
g2.setStroke(new BasicStroke(2));
// used to select colors for each line
Random rand = new Random(234);
for( Contour c : contours ) {
List<PointIndex_I32> vertexes = ShapeFittingOps.fitPolygon(c.external,true, minSide,cornerPenalty);
g2.setColor(new Color(rand.nextInt()));
VisualizeShapes.drawPolygon(vertexes,true,g2);
}
gui.addImage(displayImage, "Canny Contour");
}
This is working perfectly fine and giving me my expected output but it is taking up to 15 seconds for the following line to execute
canny.process(input,0.1f,0.3f,binary);
And the entire function takes almost 20 seconds to execute. Can someone help me in optimizing this?
My Requirement:
I need to detect a rectangle like this in an image taken by a mobile camera.
Thanks in Advance.
来源:https://stackoverflow.com/questions/56366012/boofcv-canny-process-function-is-taking-a-lot-of-time