/*
* Copyright (c) 2011-2016, 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.enhance;
import boofcv.alg.InputSanityCheck;
import boofcv.struct.image.*;
/**
* Weakly typed version of {@link EnhanceImageOps}.
*
* @author Peter Abeles
*/
public class GEnhanceImageOps {
/**
* Applies the transformation table to the provided input image.
*
* @param input Input image.
* @param transform Input transformation table.
* @param minValue Minimum possible pixel value.
* @param output Output image.
*/
public static <T extends ImageGray>
void applyTransform( T input , int transform[] , int minValue , T output ) {
InputSanityCheck.checkSameShape(input, output);
if( input instanceof GrayU8) {
EnhanceImageOps.applyTransform((GrayU8) input, transform, (GrayU8) output);
} else if( input instanceof GrayS8) {
EnhanceImageOps.applyTransform((GrayS8)input,transform,minValue,(GrayS8)output);
} else if( input instanceof GrayU16) {
EnhanceImageOps.applyTransform((GrayU16)input,transform,(GrayU16)output);
} else if( input instanceof GrayS16) {
EnhanceImageOps.applyTransform((GrayS16)input,transform,minValue,(GrayS16)output);
} else if( input instanceof GrayS32) {
EnhanceImageOps.applyTransform((GrayS32)input,transform,minValue,(GrayS32)output);
} else {
throw new IllegalArgumentException("Image type not supported. "+input.getClass().getSimpleName());
}
}
/**
* Equalizes the local image histogram on a per pixel basis.
*
* @param input Input image.
* @param radius Radius of square local histogram.
* @param output Output image.
* @param histogram Storage for image histogram. Must be large enough to contain all possible values.
* @param transform Storage for transformation table. Must be large enough to contain all possible values.
*/
public static <T extends ImageGray>
void equalizeLocal( T input , int radius , T output ,
int histogram[] , int transform[] ) {
if( input instanceof GrayU8) {
EnhanceImageOps.equalizeLocal((GrayU8)input,radius,(GrayU8)output,histogram,transform);
} else if( input instanceof GrayU16) {
EnhanceImageOps.equalizeLocal((GrayU16)input,radius,(GrayU16)output,histogram,transform);
} else {
throw new IllegalArgumentException("Unsupported image type "+input.getClass().getSimpleName());
}
}
/**
* Applies a Laplacian-4 based sharpen filter to the image.
*
* @param input Input image.
* @param output Output image.
*/
public static <T extends ImageGray> void sharpen4(T input , T output ) {
if( input instanceof GrayU8) {
EnhanceImageOps.sharpen4((GrayU8) input, (GrayU8) output);
} else if( input instanceof GrayF32) {
EnhanceImageOps.sharpen4((GrayF32)input, (GrayF32)output);
} else {
throw new IllegalArgumentException("Image type not supported. "+input.getClass().getSimpleName());
}
}
/**
* Applies a Laplacian-8 based sharpen filter to the image.
*
* @param input Input image.
* @param output Output image.
*/
public static <T extends ImageGray> void sharpen8(T input , T output ) {
if( input instanceof GrayU8) {
EnhanceImageOps.sharpen8((GrayU8) input, (GrayU8) output);
} else if( input instanceof GrayF32) {
EnhanceImageOps.sharpen8((GrayF32)input, (GrayF32)output);
} else {
throw new IllegalArgumentException("Image type not supported. "+input.getClass().getSimpleName());
}
}
}