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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* Copyright (c) 2011-2014, Peter Abeles. All Rights Reserved.
*
* This file is part of BoofCV (http://boofcv.org).
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package boofcv.alg.misc;
import boofcv.struct.image.*;
import java.util.Random;
/**
* Generalized version of {@link ImageMiscOps}. Type checking is performed at runtime instead of at compile type.
*
* @author Peter Abeles
*/
public class GImageMiscOps {
/**
* Copies a rectangular region from one image into another.
* output[dstX:(dstX+width) , dstY:(dstY+height-1)] = input[srcX:(srcX+width) , srcY:(srcY+height-1)]
*
* @param srcX x-coordinate of corner in input image
* @param srcY y-coordinate of corner in input image
* @param dstX x-coordinate of corner in output image
* @param dstY y-coordinate of corner in output image
* @param width Width of region to be copied
* @param height Height of region to be copied
* @param input Input image
* @param output output image
*/
public static void copy( int srcX , int srcY , int dstX , int dstY , int width , int height ,
ImageBase input , ImageBase output ) {
if( input instanceof ImageSingleBand ) {
if( ImageInt8.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.copy(srcX, srcY, dstX, dstY, width, height, (ImageInt8) input, (ImageInt8) output);
} else if( ImageInt16.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.copy(srcX, srcY, dstX, dstY, width, height, (ImageInt16) input, (ImageInt16) output);
} else if( ImageSInt32.class == input.getClass() ) {
ImageMiscOps.copy(srcX, srcY, dstX, dstY, width, height, (ImageSInt32) input, (ImageSInt32) output);
} else if( ImageSInt64.class == input.getClass() ) {
ImageMiscOps.copy(srcX, srcY, dstX, dstY, width, height, (ImageSInt64) input, (ImageSInt64) output);
} else if( ImageFloat32.class == input.getClass() ) {
ImageMiscOps.copy(srcX, srcY, dstX, dstY, width, height, (ImageFloat32) input, (ImageFloat32) output);
} else if( ImageFloat64.class == input.getClass() ) {
ImageMiscOps.copy(srcX, srcY, dstX, dstY, width, height, (ImageFloat64) input, (ImageFloat64) output);
} else {
throw new IllegalArgumentException("Unknown image Type: "+input.getClass().getSimpleName());
}
} else if( input instanceof MultiSpectral ) {
MultiSpectral mi = (MultiSpectral)input;
MultiSpectral mo = (MultiSpectral)output;
for( int i = 0; i < mi.getNumBands(); i++ )
copy(srcX,srcY,dstX,dstY,width,height,mi.getBand(i),mo.getBand(i));
} else {
throw new IllegalArgumentException("Unknown image type: " + input.getClass().getSimpleName());
}
}
/**
* Computes the mean of the absolute value of the difference between the two images.
*
* @param input Input image. Not modified.
* @param value fill value
*/
public static void fill( ImageBase input , double value ) {
if( input instanceof ImageSingleBand ) {
if( ImageInt8.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.fill((ImageInt8)input,(int)value);
} else if( ImageInt16.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.fill((ImageInt16)input,(int)value);
} else if( ImageSInt32.class == input.getClass() ) {
ImageMiscOps.fill((ImageSInt32)input,(int)value);
} else if( ImageSInt64.class == input.getClass() ) {
ImageMiscOps.fill((ImageSInt64)input,(long)value);
} else if( ImageFloat32.class == input.getClass() ) {
ImageMiscOps.fill((ImageFloat32)input,(float)value);
} else if( ImageFloat64.class == input.getClass() ) {
ImageMiscOps.fill((ImageFloat64)input,value);
} else {
throw new IllegalArgumentException("Unknown image Type: "+input.getClass().getSimpleName());
}
} else if( input instanceof ImageInterleaved ) {
if( InterleavedI8.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.fill((InterleavedI8)input,(int)value);
} else if( InterleavedI16.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.fill((InterleavedI16)input,(int)value);
} else if( InterleavedS32.class == input.getClass() ) {
ImageMiscOps.fill((InterleavedS32)input,(int)value);
} else if( InterleavedS64.class == input.getClass() ) {
ImageMiscOps.fill((InterleavedS64)input,(long)value);
} else if( InterleavedF32.class == input.getClass() ) {
ImageMiscOps.fill((InterleavedF32)input,(float)value);
} else if( InterleavedF64.class == input.getClass() ) {
ImageMiscOps.fill((InterleavedF64)input,value);
} else {
throw new IllegalArgumentException("Unknown image Type: "+input.getClass().getSimpleName());
}
} else if( input instanceof MultiSpectral ) {
MultiSpectral m = (MultiSpectral)input;
for( int i = 0; i < m.getNumBands(); i++ )
fill(m.getBand(i),value);
} else {
throw new IllegalArgumentException("Unknown image type: " + input.getClass().getSimpleName());
}
}
/**
* Fills the outside border with the specified value
*
* @param input An image.
* @param value The value that the image is being filled with.
* @param radius Border width.
*/
public static void fillBorder( ImageBase input , double value , int radius ) {
if( input instanceof ImageSingleBand ) {
if( ImageInt8.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.fillBorder((ImageInt8) input, (int) value, radius);
} else if( ImageInt16.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.fillBorder((ImageInt16) input, (int) value, radius);
} else if( ImageSInt32.class == input.getClass() ) {
ImageMiscOps.fillBorder((ImageSInt32) input, (int) value, radius);
} else if( ImageSInt64.class == input.getClass() ) {
ImageMiscOps.fillBorder((ImageSInt64) input, (long) value, radius);
} else if( ImageFloat32.class == input.getClass() ) {
ImageMiscOps.fillBorder((ImageFloat32) input, (float) value, radius);
} else if( ImageFloat64.class == input.getClass() ) {
ImageMiscOps.fillBorder((ImageFloat64) input, value, radius);
} else {
throw new IllegalArgumentException("Unknown image Type: "+input.getClass().getSimpleName());
}
} else if( input instanceof MultiSpectral ) {
MultiSpectral m = (MultiSpectral)input;
for( int i = 0; i < m.getNumBands(); i++ )
fillBorder(m.getBand(i), value, radius);
} else {
throw new IllegalArgumentException("Unknown image type: " + input.getClass().getSimpleName());
}
}
/**
* Draws a filled rectangle that is aligned along the image axis inside the image.
*
* @param input Image the rectangle is drawn in. Modified
* @param value Value of the rectangle
* @param x0 Top left x-coordinate
* @param y0 Top left y-coordinate
* @param width Rectangle width
* @param height Rectangle height
*/
public static void fillRectangle( ImageBase input , double value, int x0, int y0, int width, int height ) {
if( input instanceof ImageSingleBand ) {
if( ImageInt8.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.fillRectangle((ImageInt8)input,(int)value,x0,y0,width,height);
} else if( ImageInt16.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.fillRectangle((ImageInt16)input,(int)value,x0,y0,width,height);
} else if( ImageSInt32.class == input.getClass() ) {
ImageMiscOps.fillRectangle((ImageSInt32)input,(int)value,x0,y0,width,height);
} else if( ImageSInt64.class == input.getClass() ) {
ImageMiscOps.fillRectangle((ImageSInt64)input,(long)value,x0,y0,width,height);
} else if( ImageFloat32.class == input.getClass() ) {
ImageMiscOps.fillRectangle((ImageFloat32)input,(float)value,x0,y0,width,height);
} else if( ImageFloat64.class == input.getClass() ) {
ImageMiscOps.fillRectangle((ImageFloat64)input,value,x0,y0,width,height);
} else {
throw new IllegalArgumentException("Unknown image Type: "+input.getClass().getSimpleName());
}
} else if( input instanceof MultiSpectral ) {
MultiSpectral m = (MultiSpectral)input;
for( int i = 0; i < m.getNumBands(); i++ )
fillRectangle(m.getBand(i),value,x0,y0,width,height);
} else {
throw new IllegalArgumentException("Unknown image type: " + input.getClass().getSimpleName());
}
}
/**
* Sets each value in the image to a value drawn from a Gaussian distribution. A user
* specified lower and upper bound is provided to ensure that the values are within a legal
* range. A drawn value outside the allowed range will be set to the closest bound.
*
* @param input Input image. Modified.
* @param rand Random number generator
* @param mean Distribution's mean.
* @param sigma Distribution's standard deviation.
* @param lowerBound Lower bound of value clip
* @param upperBound Upper bound of value clip
*/
public static void fillGaussian( ImageBase input , Random rand , double mean , double sigma , double lowerBound , double upperBound ) {
if( input instanceof ImageSingleBand ) {
if( ImageInt8.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.fillGaussian((ImageInt8) input, rand, mean, sigma, (int) lowerBound, (int) upperBound);
} else if( ImageInt16.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.fillGaussian((ImageInt16) input, rand, mean, sigma, (int) lowerBound, (int) upperBound);
} else if( ImageSInt32.class == input.getClass() ) {
ImageMiscOps.fillGaussian((ImageSInt32) input, rand, mean, sigma, (int) lowerBound, (int) upperBound);
} else if( ImageSInt64.class == input.getClass() ) {
ImageMiscOps.fillGaussian((ImageSInt64) input, rand, mean, sigma, (long) lowerBound, (long) upperBound);
} else if( ImageFloat32.class == input.getClass() ) {
ImageMiscOps.fillGaussian((ImageFloat32) input, rand, mean, sigma, (float) lowerBound, (float) upperBound);
} else if( ImageFloat64.class == input.getClass() ) {
ImageMiscOps.fillGaussian((ImageFloat64) input, rand, mean, sigma, lowerBound, upperBound);
} else {
throw new IllegalArgumentException("Unknown image Type: "+input.getClass().getSimpleName());
}
} else if( input instanceof MultiSpectral ) {
MultiSpectral m = (MultiSpectral)input;
for( int i = 0; i < m.getNumBands(); i++ )
fillGaussian(input, rand, mean, sigma, lowerBound, upperBound);
} else {
throw new IllegalArgumentException("Unknown image type: " + input.getClass().getSimpleName());
}
}
/**
* Sets each value in the image to a value drawn from an uniform distribution that has a range of min <= X < max.
*
* @param input Image which is to be filled. Modified,
* @param rand Random number generator
* @param min Minimum value of the distribution. Inclusive.
* @param max Maximum value of the distribution. Inclusive.
*/
public static void fillUniform( ImageBase input , Random rand , double min , double max ) {
if( input instanceof ImageSingleBand ) {
if( ImageInt8.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.fillUniform((ImageInt8) input, rand, (int) min, ((int)max)-1);
} else if( ImageInt16.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.fillUniform((ImageInt16) input, rand, (int) min, ((int)max)-1);
} else if( ImageSInt32.class == input.getClass() ) {
ImageMiscOps.fillUniform((ImageSInt32) input, rand, (int) min, ((int)max)-1);
} else if( ImageSInt64.class == input.getClass() ) {
ImageMiscOps.fillUniform((ImageSInt64) input, rand, (long) min, ((long)max)-1);
} else if( ImageFloat32.class == input.getClass() ) {
ImageMiscOps.fillUniform((ImageFloat32) input, rand, (float)min, (float) max);
} else if( ImageFloat64.class == input.getClass() ) {
ImageMiscOps.fillUniform((ImageFloat64) input, rand, min, max);
} else {
throw new IllegalArgumentException("Unknown image Type: "+input.getClass().getSimpleName());
}
} else if( input instanceof ImageInterleaved ) {
if( InterleavedI8.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.fillUniform((InterleavedI8)input,rand, (int) min, ((int)max)-1);
} else if( InterleavedI16.class.isAssignableFrom(input.getClass()) ) {
ImageMiscOps.fillUniform((InterleavedI16)input,rand, (int) min, ((int)max)-1);
} else if( InterleavedS32.class == input.getClass() ) {
ImageMiscOps.fillUniform((InterleavedS32)input,rand, (int) min, ((int)max)-1);
} else if( InterleavedS64.class == input.getClass() ) {
ImageMiscOps.fillUniform((InterleavedS64)input,rand, (long) min, ((long)max)-1);
} else if( InterleavedF32.class == input.getClass() ) {
ImageMiscOps.fillUniform((InterleavedF32)input,rand, (float)min, (float) max);
} else if( InterleavedF64.class == input.getClass() ) {
ImageMiscOps.fillUniform((InterleavedF64)input,rand, min, max);
} else {
throw new IllegalArgumentException("Unknown image Type: "+input.getClass().getSimpleName());
}
} else if( input instanceof MultiSpectral ) {
MultiSpectral m = (MultiSpectral)input;
for( int i = 0; i < m.getNumBands(); i++ )
fillUniform(m.getBand(i), rand , min, max);
} else {
throw new IllegalArgumentException("Unknown image type: " + input.getClass().getSimpleName());
}
}
/**
* Adds Gaussian/normal i.i.d noise to each pixel in the image. If a value exceeds the specified
* it will be set to the closest bound.
*
* @param input Input image. Modified.
* @param rand Random number generator.
* @param sigma Distributions standard deviation.
* @param lowerBound Allowed lower bound
* @param upperBound Allowed upper bound
*/
public static void addGaussian( ImageBase input, Random rand , double sigma ,
double lowerBound , double upperBound )
{
if( input instanceof ImageSingleBand ) {
if( ImageUInt8.class == input.getClass() ) {
ImageMiscOps.addGaussian((ImageUInt8) input, rand, sigma, (int) lowerBound, (int) upperBound);
} else if( ImageSInt8.class == input.getClass() ) {
ImageMiscOps.addGaussian((ImageSInt8) input, rand, sigma, (int) lowerBound, (int) upperBound);
} else if( ImageUInt16.class == input.getClass() ) {
ImageMiscOps.addGaussian((ImageUInt16) input, rand, sigma, (int) lowerBound, (int) upperBound);
} else if( ImageSInt16.class == input.getClass() ) {
ImageMiscOps.addGaussian((ImageSInt16) input, rand, sigma, (int) lowerBound, (int) upperBound);
} else if( ImageSInt32.class == input.getClass() ) {
ImageMiscOps.addGaussian((ImageSInt32) input, rand, sigma, (int) lowerBound, (int) upperBound);
} else if( ImageSInt64.class == input.getClass() ) {
ImageMiscOps.addGaussian((ImageSInt64) input, rand, sigma, (long) lowerBound, (long) upperBound);
} else if( ImageFloat32.class == input.getClass() ) {
ImageMiscOps.addGaussian((ImageFloat32) input, rand, sigma, (float) lowerBound, (float) upperBound);
} else if( ImageFloat64.class == input.getClass() ) {
ImageMiscOps.addGaussian((ImageFloat64) input, rand, sigma, lowerBound, upperBound);
} else {
throw new IllegalArgumentException("Unknown image Type: "+input.getClass().getSimpleName());
}
} else if( input instanceof MultiSpectral ) {
MultiSpectral m = (MultiSpectral)input;
for( int i = 0; i < m.getNumBands(); i++ )
addGaussian(m.getBand(i), rand, sigma, lowerBound, upperBound);
} else {
throw new IllegalArgumentException("Unknown image type: " + input.getClass().getSimpleName());
}
}
/**
* Adds uniform i.i.d noise to each pixel in the image. Noise range is min <= X < max.
*/
public static void addUniform( ImageBase input, Random rand , double min , double max ) {
if( input instanceof ImageSingleBand ) {
if( ImageUInt8.class == input.getClass() ) {
ImageMiscOps.addUniform((ImageUInt8) input, rand, (int) min, (int) max);
} else if( ImageSInt8.class == input.getClass() ) {
ImageMiscOps.addUniform((ImageSInt8) input, rand, (int) min, (int) max);
} else if( ImageUInt16.class == input.getClass() ) {
ImageMiscOps.addUniform((ImageUInt16) input, rand, (int) min, (int) max);
} else if( ImageSInt16.class == input.getClass() ) {
ImageMiscOps.addUniform((ImageSInt16) input, rand, (int) min, (int) max);
} else if( ImageSInt32.class == input.getClass() ) {
ImageMiscOps.addUniform((ImageSInt32) input, rand, (int) min, (int) max);
} else if( ImageSInt64.class == input.getClass() ) {
ImageMiscOps.addUniform((ImageSInt64) input, rand, (long) min, (long) max);
} else if( ImageFloat32.class == input.getClass() ) {
ImageMiscOps.addUniform((ImageFloat32) input, rand, (float) min, (float) max);
} else if( ImageFloat64.class == input.getClass() ) {
ImageMiscOps.addUniform((ImageFloat64) input, rand, min, max);
} else {
throw new IllegalArgumentException("Unknown image Type: "+input.getClass().getSimpleName());
}
} else if( input instanceof MultiSpectral ) {
MultiSpectral m = (MultiSpectral)input;
for( int i = 0; i < m.getNumBands(); i++ )
addUniform(m.getBand(i), rand, min, max);
} else {
throw new IllegalArgumentException("Unknown image type: " + input.getClass().getSimpleName());
}
}
/**
* Flips the image from top to bottom
*/
public static void flipVertical( ImageBase img ) {
if( img instanceof ImageSingleBand ) {
if( ImageInt8.class.isAssignableFrom(img.getClass()) ) {
ImageMiscOps.flipVertical((ImageInt8)img);
} else if( ImageInt16.class.isAssignableFrom(img.getClass()) ) {
ImageMiscOps.flipVertical((ImageInt16)img);
} else if ( ImageSInt32.class.isAssignableFrom(img.getClass()) ) {
ImageMiscOps.flipVertical((ImageSInt32)img);
} else if ( ImageSInt64.class.isAssignableFrom(img.getClass()) ) {
ImageMiscOps.flipVertical((ImageSInt64)img);
} else if (ImageFloat32.class.isAssignableFrom(img.getClass()) ) {
ImageMiscOps.flipVertical((ImageFloat32)img);
} else if (ImageFloat64.class.isAssignableFrom(img.getClass()) ) {
ImageMiscOps.flipVertical((ImageFloat64)img);
} else if (ImageSInt64.class.isAssignableFrom(img.getClass()) ) {
ImageMiscOps.flipVertical((ImageSInt64) img);
} else {
throw new IllegalArgumentException("Unknown or incompatible image type: " + img.getClass().getSimpleName());
}
} else if( img instanceof MultiSpectral ) {
MultiSpectral m = (MultiSpectral)img;
for( int i = 0; i < m.getNumBands(); i++ )
flipVertical(m.getBand(i));
} else {
throw new IllegalArgumentException("Unknown image type: " + img.getClass().getSimpleName());
}
}
/**
* Flips the image from left to right
*/
public static void flipHorizontal( ImageBase img ) {
if( img instanceof ImageSingleBand ) {
if( ImageInt8.class.isAssignableFrom(img.getClass()) ) {
ImageMiscOps.flipHorizontal((ImageInt8) img);
} else if( ImageInt16.class.isAssignableFrom(img.getClass()) ) {
ImageMiscOps.flipHorizontal((ImageInt16) img);
} else if ( ImageSInt32.class.isAssignableFrom(img.getClass()) ) {
ImageMiscOps.flipHorizontal((ImageSInt32) img);
} else if ( ImageSInt64.class.isAssignableFrom(img.getClass()) ) {
ImageMiscOps.flipHorizontal((ImageSInt64) img);
} else if (ImageFloat32.class.isAssignableFrom(img.getClass()) ) {
ImageMiscOps.flipHorizontal((ImageFloat32) img);
} else if (ImageFloat64.class.isAssignableFrom(img.getClass()) ) {
ImageMiscOps.flipHorizontal((ImageFloat64) img);
} else if (ImageSInt64.class.isAssignableFrom(img.getClass()) ) {
ImageMiscOps.flipHorizontal((ImageSInt64) img);
} else {
throw new IllegalArgumentException("Unknown or incompatible image type: " + img.getClass().getSimpleName());
}
} else if( img instanceof MultiSpectral ) {
MultiSpectral m = (MultiSpectral)img;
for( int i = 0; i < m.getNumBands(); i++ )
flipHorizontal(m.getBand(i));
} else {
throw new IllegalArgumentException("Unknown image type: " + img.getClass().getSimpleName());
}
}
/**
* Rotates the image 90 degrees in the clockwise direction.
*/
public static void rotateCW( ImageBase imageA , ImageBase imageB ) {
if( imageA instanceof ImageSingleBand ) {
if( ImageInt8.class.isAssignableFrom(imageA.getClass()) ) {
ImageMiscOps.rotateCW((ImageInt8) imageA, (ImageInt8) imageB);
} else if( ImageInt16.class.isAssignableFrom(imageA.getClass()) ) {
ImageMiscOps.rotateCW((ImageInt16) imageA, (ImageInt16) imageB);
} else if ( ImageSInt32.class.isAssignableFrom(imageA.getClass()) ) {
ImageMiscOps.rotateCW((ImageSInt32) imageA, (ImageSInt32) imageB);
} else if ( ImageSInt64.class.isAssignableFrom(imageA.getClass()) ) {
ImageMiscOps.rotateCW((ImageSInt64) imageA, (ImageSInt64) imageB);
} else if (ImageFloat32.class.isAssignableFrom(imageA.getClass()) ) {
ImageMiscOps.rotateCW((ImageFloat32) imageA, (ImageFloat32) imageB);
} else if (ImageFloat64.class.isAssignableFrom(imageA.getClass()) ) {
ImageMiscOps.rotateCW((ImageFloat64) imageA, (ImageFloat64) imageB);
} else if (ImageSInt64.class.isAssignableFrom(imageA.getClass()) ) {
ImageMiscOps.rotateCW((ImageSInt64) imageA,(ImageSInt64) imageB);
} else {
throw new IllegalArgumentException("Unknown or incompatible image type: " + imageA.getClass().getSimpleName());
}
} else if( imageA instanceof MultiSpectral ) {
MultiSpectral a = (MultiSpectral)imageA;
MultiSpectral b = (MultiSpectral)imageB;
for( int i = 0; i < a.getNumBands(); i++ )
rotateCW(a.getBand(i), b.getBand(i));
} else {
throw new IllegalArgumentException("Unknown image type: " + imageA.getClass().getSimpleName());
}
}
/**
* Rotates the image 90 degrees in the counter-clockwise direction.
*/
public static void rotateCCW( ImageBase imageA , ImageBase imageB ) {
if( imageA instanceof ImageSingleBand ) {
if( ImageInt8.class.isAssignableFrom(imageA.getClass()) ) {
ImageMiscOps.rotateCCW((ImageInt8) imageA, (ImageInt8) imageB);
} else if( ImageInt16.class.isAssignableFrom(imageA.getClass()) ) {
ImageMiscOps.rotateCCW((ImageInt16) imageA, (ImageInt16) imageB);
} else if ( ImageSInt32.class.isAssignableFrom(imageA.getClass()) ) {
ImageMiscOps.rotateCCW((ImageSInt32) imageA, (ImageSInt32) imageB);
} else if ( ImageSInt64.class.isAssignableFrom(imageA.getClass()) ) {
ImageMiscOps.rotateCCW((ImageSInt64) imageA, (ImageSInt64) imageB);
} else if (ImageFloat32.class.isAssignableFrom(imageA.getClass()) ) {
ImageMiscOps.rotateCCW((ImageFloat32) imageA, (ImageFloat32) imageB);
} else if (ImageFloat64.class.isAssignableFrom(imageA.getClass()) ) {
ImageMiscOps.rotateCCW((ImageFloat64) imageA, (ImageFloat64) imageB);
} else if (ImageSInt64.class.isAssignableFrom(imageA.getClass()) ) {
ImageMiscOps.rotateCCW((ImageSInt64) imageA,(ImageSInt64) imageB);
} else {
throw new IllegalArgumentException("Unknown or incompatible image type: " + imageA.getClass().getSimpleName());
}
} else if( imageA instanceof MultiSpectral ) {
MultiSpectral a = (MultiSpectral)imageA;
MultiSpectral b = (MultiSpectral)imageB;
for( int i = 0; i < a.getNumBands(); i++ )
rotateCCW(a.getBand(i), b.getBand(i));
} else {
throw new IllegalArgumentException("Unknown image type: " + imageA.getClass().getSimpleName());
}
}
}
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