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BoofCV is an open source Java library for real-time computer vision and robotics applications.

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/*
 * Copyright (c) 2011-2017, 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.struct.pyramid;

import boofcv.struct.image.ImageBase;
import boofcv.struct.image.ImageType;

/**
 * 

* Image pyramids represent an image at different resolution in a fine to coarse fashion. Lower layers * in the pyramid are at a higher resolution than the upper layers. The resolution of a layer is * specified by its scale. The scale number indicates how many pixels in the original input image * correspond to a single pixel at the current layer. So a layer with a scale of 5 is 5 times lower * resolution than the input layer. *

* *

* The transform from a pixel coordinate in layer 'i' to the original image will vary depending on the pyramid is * constructed. In general it, can be described by the following equation: (x,y) = (offX_i,offY_i) + scale_i*(x_i,y_i), * where (x_i,y_i) is the pixel coordinate in layer 'i'. The offsets (offX_i,offY_i) vary depending on how * each layer in the pyramid samples the previous layers. This offset can be found by calling {@link #getSampleOffset(int)}. *

* * @author Peter Abeles */ @SuppressWarnings({"unchecked"}) public interface ImagePyramid> { /** * Constructs the image pyramid given the input image. */ void process( T input ); /** * Declares internal data structures for an image with the specified dimensions * @param width image width * @param height image height */ void initialize( int width , int height ); /** * Returns the scale of the specified layer in the pyramid. Larger the scale * smaller the image is relative to the input image. * * @param layer Which layer is being inspected. * @return The layer's scale. */ double getScale( int layer ); /** * Returns a layer in the pyramid. * * @param layerNum which image is to be returned. * @return The image in the pyramid. */ T getLayer(int layerNum); /** * Returns the number of layers in the pyramid. */ int getNumLayers(); /** * Returns the width of an image at ths specified layer. * * @param layer The layer being requested. * @return The layer's width. */ int getWidth(int layer); /** * Returns the height of an image at ths specified layer. * * @param layer The layer being requested. * @return The layer's height. */ int getHeight(int layer); /** * Width of input image. */ int getInputWidth(); /** * Height of input image. */ int getInputHeight(); /** * The type of image. * * @return Image type. */ ImageType getImageType(); /** * Set's this pyramid to be the same as input. The two pyramids must have the same structure or else an * exception will be thrown. * @param input Input pyramid. Not modified. */ void setTo( ImagePyramid input ); /** * Returns the sampling offset. Both x and y axises are assumed to have the same offset. * See comment in constructor above. * * @param layer Layer in the pyramid * @return Sampling offset in pixels. */ double getSampleOffset( int layer ); /** * Returns the scale-space scale for the specified layer. This scale is equivalent amount of Gaussian blur * applied to the input image. * * If Gaussian blur is not applied to each layer then an approximation should be returned. * * @param layer Layer in the pyramid * @return Equivalent sigma for Gaussian blur. */ double getSigma( int layer ); }




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