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BoofCV is an open source Java library for real-time computer vision and robotics applications.
/*
* 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.abst.segmentation;
import boofcv.struct.ConnectRule;
import boofcv.struct.image.GrayS32;
import boofcv.struct.image.ImageBase;
import boofcv.struct.image.ImageType;
/**
* High level interface for computing superpixels. Superpixels are sets of connected adjacent pixels which belong.
* They are intended to break the image up intelligently along object boundaries allowing for easier processing.
* Each pixel in the output segmented image is assigned an integer label to identify which region in the image it
* belongs to. A region is a continuous connected set of pixels.
*
* @author Peter Abeles
*/
public interface ImageSuperpixels> {
/**
* Segments the input image into superpixels and puts the output in labeled image.
* @param input (Input) image.
* @param output (Output) Labeled image
*/
public void segment( T input , GrayS32 output );
/**
* Returns the total number of image segments/superpixels found
* @return Number of superpixels
*/
public int getTotalSuperpixels();
/**
* Connectivity rule used to determine if a pixel is connected
* @return Connectivity rule
*/
public ConnectRule getRule();
/**
* Type of input image it can process
*
* @return Input image type
*/
public ImageType getImageType();
}
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