BoofCV / Java-用高斯卷积构造图像的Hessian矩阵

Question

I want to build a Hessian matrix of a grayscale image but I need to calculate the second order derivatives. I'm working with BoofCV and I found out a function that calculates the first order:

ImageGradient_Gaussian<ImageUInt8,ImageFloat32> gaussian1 = new ImageGradient_Gaussian<ImageUInt8,ImageFloat32>(sigma, -1, ImageUInt8.class, ImageFloat32.class);
gaussian1.process(grayscaleImage, derivX, derivY);

I'm using as an input parameter "sigma" (standard deviation). Is there a function, or an other way, to calculate the second order derivatives using as input sigma and a grayscale image?

I'm open to other Java CV library suggestions.

Answer 1

You want to do something like:

GImageDerivativeOps.sobel(grey, derivX, derivY, BorderType.EXTENDED);
GImageDerivativeOps.hessianSobel(derivX, derivY, derivXX, derivXY, derivYY, BorderType.EXTENDED);

grey can be ImageFloat32 or ImageUInt8 deriv can be ImageFloat32 or ImageSInt16

The latest SNAPSHOT has an example, but it should work on older versions too:

https://github.com/lessthanoptimal/BoofCV/blob/master/examples/src/boofcv/examples/imageprocessing/ExampleImageDerivative.java