/**
* Computes the hessian from the original input image. Only Sobel and Three supported.
*
* @param type Type of gradient to compute
* @param input Input image
* @param derivXX Output. Derivative XX
* @param derivYY Output. Derivative YY
* @param derivXY Output. Derivative XY
* @param borderType How it should handle borders. null == skip border
* @param <I> Input image type
* @param <D> Output image type
*/
public static <I extends ImageSingleBand, D extends ImageSingleBand> void hessian(
DerivativeType type, I input, D derivXX, D derivYY, D derivXY, BorderType borderType) {
ImageBorder<I> border =
BorderType.SKIP == borderType ? null : FactoryImageBorder.general(input, borderType);
switch (type) {
case SOBEL:
if (input instanceof ImageFloat32) {
HessianSobel.process(
(ImageFloat32) input,
(ImageFloat32) derivXX,
(ImageFloat32) derivYY,
(ImageFloat32) derivXY,
(ImageBorder_F32) border);
} else if (input instanceof ImageUInt8) {
HessianSobel.process(
(ImageUInt8) input,
(ImageSInt16) derivXX,
(ImageSInt16) derivYY,
(ImageSInt16) derivXY,
(ImageBorder_I32) border);
} else {
throw new IllegalArgumentException(
"Unknown input image type: " + input.getClass().getSimpleName());
}
break;
case THREE:
if (input instanceof ImageFloat32) {
HessianThree.process(
(ImageFloat32) input,
(ImageFloat32) derivXX,
(ImageFloat32) derivYY,
(ImageFloat32) derivXY,
(ImageBorder_F32) border);
} else if (input instanceof ImageUInt8) {
HessianThree.process(
(ImageUInt8) input,
(ImageSInt16) derivXX,
(ImageSInt16) derivYY,
(ImageSInt16) derivXY,
(ImageBorder_I32) border);
} else {
throw new IllegalArgumentException(
"Unknown input image type: " + input.getClass().getSimpleName());
}
break;
default:
throw new IllegalArgumentException("Unsupported derivative type " + type);
}
}
public static <I extends ImageSingleBand, D extends ImageSingleBand> void laplace(
I input, D output) {
if (input instanceof ImageFloat32) {
LaplacianEdge.process((ImageFloat32) input, (ImageFloat32) output);
} else if (input instanceof ImageUInt8) {
LaplacianEdge.process((ImageUInt8) input, (ImageSInt16) output);
} else {
throw new IllegalArgumentException(
"Unknown input image type: " + input.getClass().getSimpleName());
}
}
/**
* Computes the gradient using the specified image type.
*
* @param type Type of gradient to compute
* @param input Input image
* @param derivX Output. Derivative X
* @param derivY Output. Derivative Y
* @param borderType How it should handle borders. null == skip border
* @param <I> Input image type
* @param <D> Output image type
*/
public static <I extends ImageSingleBand, D extends ImageSingleBand> void gradient(
DerivativeType type, I input, D derivX, D derivY, BorderType borderType) {
ImageBorder<I> border =
BorderType.SKIP == borderType ? null : FactoryImageBorder.general(input, borderType);
switch (type) {
case PREWITT:
if (input instanceof ImageFloat32) {
GradientPrewitt.process(
(ImageFloat32) input,
(ImageFloat32) derivX,
(ImageFloat32) derivY,
(ImageBorder_F32) border);
} else if (input instanceof ImageUInt8) {
GradientPrewitt.process(
(ImageUInt8) input,
(ImageSInt16) derivX,
(ImageSInt16) derivY,
(ImageBorder_I32) border);
} else if (input instanceof ImageSInt16) {
GradientPrewitt.process(
(ImageSInt16) input,
(ImageSInt16) derivX,
(ImageSInt16) derivY,
(ImageBorder_I32) border);
} else {
throw new IllegalArgumentException(
"Unknown input image type: " + input.getClass().getSimpleName());
}
break;
case SOBEL:
if (input instanceof ImageFloat32) {
GradientSobel.process(
(ImageFloat32) input,
(ImageFloat32) derivX,
(ImageFloat32) derivY,
(ImageBorder_F32) border);
} else if (input instanceof ImageUInt8) {
GradientSobel.process(
(ImageUInt8) input,
(ImageSInt16) derivX,
(ImageSInt16) derivY,
(ImageBorder_I32) border);
} else if (input instanceof ImageSInt16) {
GradientSobel.process(
(ImageSInt16) input,
(ImageSInt16) derivX,
(ImageSInt16) derivY,
(ImageBorder_I32) border);
} else {
throw new IllegalArgumentException(
"Unknown input image type: " + input.getClass().getSimpleName());
}
break;
case THREE:
if (input instanceof ImageFloat32) {
GradientThree.process(
(ImageFloat32) input,
(ImageFloat32) derivX,
(ImageFloat32) derivY,
(ImageBorder_F32) border);
} else if (input instanceof ImageUInt8) {
GradientThree.process(
(ImageUInt8) input,
(ImageSInt16) derivX,
(ImageSInt16) derivY,
(ImageBorder_I32) border);
} else if (input instanceof ImageSInt16) {
GradientThree.process(
(ImageSInt16) input,
(ImageSInt16) derivX,
(ImageSInt16) derivY,
(ImageBorder_I32) border);
} else {
throw new IllegalArgumentException(
"Unknown input image type: " + input.getClass().getSimpleName());
}
break;
case TWO_0:
if (input instanceof ImageFloat32) {
GradientTwo0.process(
(ImageFloat32) input,
(ImageFloat32) derivX,
(ImageFloat32) derivY,
(ImageBorder_F32) border);
} else if (input instanceof ImageUInt8) {
GradientTwo0.process(
(ImageUInt8) input,
(ImageSInt16) derivX,
(ImageSInt16) derivY,
(ImageBorder_I32) border);
} else if (input instanceof ImageSInt16) {
GradientTwo0.process(
(ImageSInt16) input,
(ImageSInt16) derivX,
(ImageSInt16) derivY,
(ImageBorder_I32) border);
} else {
throw new IllegalArgumentException(
"Unknown input image type: " + input.getClass().getSimpleName());
}
break;
case TWO_1:
if (input instanceof ImageFloat32) {
GradientTwo1.process(
(ImageFloat32) input,
(ImageFloat32) derivX,
(ImageFloat32) derivY,
(ImageBorder_F32) border);
} else if (input instanceof ImageUInt8) {
GradientTwo1.process(
(ImageUInt8) input,
(ImageSInt16) derivX,
(ImageSInt16) derivY,
(ImageBorder_I32) border);
} else if (input instanceof ImageSInt16) {
GradientTwo1.process(
(ImageSInt16) input,
(ImageSInt16) derivX,
(ImageSInt16) derivY,
(ImageBorder_I32) border);
} else {
throw new IllegalArgumentException(
"Unknown input image type: " + input.getClass().getSimpleName());
}
break;
default:
throw new IllegalArgumentException("Unknown type: " + type);
}
}