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reg_grow.h
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reg_grow.h
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/* tab:8
*
* reg_grow.h - region growing algorithm
*
* "Copyright (c) 1994,1995 The Regents of the University of Maryland.
* All rights reserved.
*
* Permission to use, copy, modify, and distribute this software and its
* documentation for any purpose, without fee, and without written agreement is
* hereby granted, provided that the above copyright notice and the following
* two paragraphs appear in all copies of this software.
*
* IN NO EVENT SHALL THE UNIVERSITY OF MARYLAND BE LIABLE TO ANY PARTY FOR
* DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES ARISING OUT
* OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF THE UNIVERSITY OF
* MARYLAND HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
* THE UNIVERSITY OF MARYLAND SPECIFICALLY DISCLAIMS ANY WARRANTIES,
* INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY
* AND FITNESS FOR A PARTICULAR PURPOSE. THE SOFTWARE PROVIDED HEREUNDER IS
* ON AN "AS IS" BASIS, AND THE UNIVERSITY OF MARYLAND HAS NO OBLIGATION TO
* PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS."
*
* Authors: David A. Bader <dbader@umiacs.umd.edu>
* Joseph F. Ja'Ja' <joseph@umiacs.umd.edu>
* Institute for Advanced Computer Studies
* Department of Electrical Engineering
* AV Williams Building
* College Park, MD 20742
*
* Version: 1.0
* Creation Date: December 29, 1994
* Filename: reg_grow.h
* History:
*/
#ifndef _REGGROW_H
#define _REGGROW_H
#include "ImageU.h"
#include "queue.h"
#include "connComp_gen.h"
void all_filter_SNF(int v, int w, int q, int r,
int X[v][w]::[q][r], int k,
int Y[v][w]::[q][r],
int pType[v][w]::[q][r],
int steps, int epsilon);
void all_filter_SNF_reclass(int v, int w, int q, int r,
int X[v][w]::[q][r], int k,
int Sel[v][w]::[q][r],
int Y[v][w]::[q][r],
int pType[v][w]::[q][r],
int epsilon);
void all_crop_border(int v, int w, int q, int r,
int X[v][w]::[q][r], int Y[v][w]::[q][r],
int crop);
void all_get_pType(int v, int w, int q, int r,
int pType[v][w]::[q][r]);
double all_find_sigma_use_sort(int v, int w, int q, int r,
int X[v][w]::[q][r], int k,
int pType[v][w]::[q][r]);
double all_find_sigma_use_median(int v, int w, int q, int r,
int X[v][w]::[q][r], int k,
int pType[v][w]::[q][r]);
void all_filter_1NN(int v, int w, int q, int r,
int X[v][w]::[q][r], int k,
int Y[v][w]::[q][r],
int pType[v][w]::[q][r]);
void all_filter_1NN_oneshot(int v, int w, int q, int r,
int X[v][w]::[q][r], int k,
int Y[v][w]::[q][r],
int pType[v][w]::[q][r]);
void all_scale_and_edge_detect(int v, int w, int q, int r,
int mag,
int X[v][w]::[q][r],
int Y[v][w]::[q*mag][r*mag],
int pType[v][w]::[q][r],
int edgeColor,
int Ycol[v][w]::[q][r],
int Ymag[v][w]::[q*mag][r*mag]);
void all_filter_Gauss3X3(int v, int w, int q, int r,
int X[v][w]::[q][r], int k,
int Y[v][w]::[q][r],
int pType[v][w]::[q][r]);
void all_filter_GaussNoise(int v, int w, int q, int r,
int X[v][w]::[q][r], int k,
int Y[v][w]::[q][r],
double mean, double sigma);
int all_decide_artificial(int v, int w, int q, int r,
int X[v][w]::[q][r],
int pType[v][w]::[q][r]);
#endif