/** * 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); } }