Per quanto riguarda la libreria <math.h> l'avevo inclusa, ma l'errore sul round me lo dava lo stesso. Ti allego il file su cui mi da gli errori...
cvgabor.cpp
/***************************************************************************
* Copyright (C) 2006 by Mian Zhou *
*
[email protected] *
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
* This program is distributed in the hope that it will be useful, *
* but WITHOUT ANY WARRANTY; without even the implied warranty of *
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
* GNU General Public License for more details. *
* *
* You should have received a copy of the GNU General Public License *
* along with this program; if not, write to the *
* Free Software Foundation, Inc., *
* 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. *
***************************************************************************/
#include "cvgabor.h"
#include <math.h>
CvGabor::CvGabor()
{
}
CvGabor::~CvGabor()
{
cvReleaseMat( &Real );
cvReleaseMat( &Imag );
}
/*!
\fn CvGabor::CvGabor(int iMu, int iNu)
Construct a gabor
Parameters:
iMu The orientation iMu*PI/8,
iNu The scale,
Returns:
None,
Create a gabor with a orientation iMu*PI/8, and with a scale iNu. The sigma (Sigma) and the spatial frequence (F) are set to 2*PI and sqrt(2) defaultly. It calls Init() to generate parameters and kernels.
*/
CvGabor::CvGabor(int iMu, int iNu)
{
//Initilise the parameters
Sigma = 2*PI;
F = sqrt(2.0);
Init(iMu, iNu, Sigma, F);
}
/*!
\fn CvGabor::CvGabor(int iMu, int iNu, double dSigma)
Construct a gabor
Parameters:
iMu The orientation iMu*PI/8,
iNu The scale,
dSigma The sigma value of Gabor,
Returns:
None
Create a gabor with a orientation iMu*PI/8, a scale iNu, and a sigma value dSigma. The spatial frequence (F) is set to sqrt(2) defaultly. It calls Init() to generate parameters and kernels.
*/
CvGabor::CvGabor(int iMu, int iNu, float dSigma)
{
F = sqrt(2.0);
Init(iMu, iNu, dSigma, F);
}
/*!
\fn CvGabor::CvGabor(int iMu, int iNu, double dSigma, double dF)
Construct a gabor
Parameters:
iMu The orientation iMu*PI/8
iNu The scale
dSigma The sigma value of Gabor
dF The spatial frequency
Returns:
None
Create a gabor with a orientation iMu*PI/8, a scale iNu, a sigma value dSigma, and a spatial frequence dF. It calls Init() to generate parameters and kernels.
*/
CvGabor::CvGabor(int iMu, int iNu, float dSigma, float dF)
{
Init(iMu, iNu, dSigma, dF);
}
/*!
\fn CvGabor::CvGabor(double dPhi, int iNu)
Construct a gabor
Parameters:
dPhi The orientation in arc
iNu The scale
Returns:
None
Create a gabor with a orientation dPhi, and with a scale iNu. The sigma (Sigma) and the spatial frequence (F) are set to 2*PI and sqrt(2) defaultly. It calls Init() to generate parameters and kernels.
*/
CvGabor::CvGabor(float dPhi, int iNu)
{
Sigma = 2*PI;
F = sqrt(2.0);
Init(dPhi, iNu, Sigma, F);
}
/*!
\fn CvGabor::CvGabor(double dPhi, int iNu, double dSigma)
Construct a gabor
Parameters:
dPhi The orientation in arc
iNu The scale
dSigma The sigma value of Gabor
Returns:
None
Create a gabor with a orientation dPhi, a scale iNu, and a sigma value dSigma. The spatial frequence (F) is set to sqrt(2) defaultly. It calls Init() to generate parameters and kernels.
*/
CvGabor::CvGabor(float dPhi, int iNu, float dSigma)
{
F = sqrt(2);
Init(dPhi, iNu, dSigma, F);
}
/*!
\fn CvGabor::CvGabor(double dPhi, int iNu, double dSigma, double dF)
Construct a gabor
Parameters:
dPhi The orientation in arc
iNu The scale
dSigma The sigma value of Gabor
dF The spatial frequency
Returns:
None
Create a gabor with a orientation dPhi, a scale iNu, a sigma value dSigma, and a spatial frequence dF. It calls Init() to generate parameters and kernels.
*/
CvGabor::CvGabor(float dPhi, int iNu, float dSigma, float dF)
{
Init(dPhi, iNu, dSigma,dF);
}
/*!
\fn CvGabor::IsInit()
Determine the gabor is initilised or not
Parameters:
None
Returns:
a boolean value, TRUE is initilised or FALSE is non-initilised.
Determine whether the gabor has been initlized - variables F, K, Kmax, Phi, Sigma are filled.
*/
bool CvGabor::IsInit()
{
return bInitialised;
}
/*!
\fn CvGabor::mask_width()
Give out the width of the mask
Parameters:
None
Returns:
The long type show the width.
Return the width of mask (should be NxN) by the value of Sigma and iNu.
*/
long CvGabor::mask_width()
{
long lWidth;
if (IsInit() == FALSE) {
perror ("Error: The Object has not been initilised in mask_width()!\n");
return 0;
}
else {
//determine the width of Mask
float dModSigma = Sigma/K;
float dWidth = round(dModSigma*6 + 1);
//test whether dWidth is an odd.
if (fmod(dWidth, 2.0)==0.0) dWidth++;
lWidth = (long)dWidth;
return lWidth;
}
}
/*!
\fn CvGabor::creat_kernel()
Create gabor kernel
Parameters:
None
Returns:
None
Create 2 gabor kernels - REAL and IMAG, with an orientation and a scale
*/
void CvGabor::creat_kernel()
{
if (IsInit() == FALSE) {perror("Error: The Object has not been initilised in creat_kernel()!\n");}
else {
CvMat *mReal, *mImag;
mReal = cvCreateMat( Width, Width, CV_32FC1);
mImag = cvCreateMat( Width, Width, CV_32FC1);
/**************************** Gabor Function ****************************/
int x, y;
float dReal;
float dImag;
float dTemp1, dTemp2, dTemp3;
for (int i = 0; i < Width; i++)
{
for (int j = 0; j < Width; j++)
{
x = i-(Width-1)/2;
y = j-(Width-1)/2;
dTemp1 = (pow(K,2)/pow(Sigma,2))*exp(-(pow((float)x,2)+pow((float)y,2))*pow(K,2)/(2*pow(Sigma,2)));
dTemp2 = cos(K*cos(Phi)*x + K*sin(Phi)*y) - exp(-(pow(Sigma,2)/2));
dTemp3 = sin(K*cos(Phi)*x + K*sin(Phi)*y);
dReal = dTemp1*dTemp2;
dImag = dTemp1*dTemp3;
//gan_mat_set_el(pmReal, i, j, dReal);
cvmSet( (CvMat*)mReal, i, j, dReal );
//gan_mat_set_el(pmImag, i, j, dImag);
cvmSet( (CvMat*)mImag, i, j, dImag );
}
}
/**************************** Gabor Function ****************************/
bKernel = TRUE;
cvCopy(mReal, Real, NULL);
cvCopy(mImag, Imag, NULL);
printf("A %d x %d Gabor kernel with %f PI in arc is created.\n", Width, Width, Phi/PI);
cvReleaseMat( &mReal );
cvReleaseMat( &mImag );
}
}
/*!
\fn CvGabor::get_image(int Type)
Get the speific type of image of Gabor
Parameters:
Type The Type of gabor kernel, e.g. REAL, IMAG, MAG, PHASE
Returns:
Pointer to image structure, or NULL on failure
Return an Image (gandalf image class) with a specific Type "REAL" "IMAG" "MAG" "PHASE"
*/
IplImage* CvGabor::get_image(int Type)
{
if(IsKernelCreate() == FALSE)
{
perror("Error: the Gabor kernel has not been created in get_image()!\n");
return NULL;
}
else
{
IplImage* pImage;
IplImage *newimage;
newimage = cvCreateImage(cvSize(Width,Width), IPL_DEPTH_8U, 1 );
//printf("Width is %d.\n",(int)Width);
//printf("Sigma is %f.\n", Sigma);
//printf("F is %f.\n", F);
//printf("Phi is %f.\n", Phi);
//pImage = gan_image_alloc_gl_d(Width, Width);
pImage = cvCreateImage( cvSize(Width,Width), IPL_DEPTH_32F, 1 );
CvMat* kernel = cvCreateMat(Width, Width, CV_32FC1);
double ve;
CvScalar S;
switch(Type)
{
case 1: //Real
cvCopy( (CvMat*)Real, (CvMat*)kernel, NULL );
//pImage = cvGetImage( (CvMat*)kernel, pImageGL );
for (int i = 0; i < kernel->rows; i++)
{
for (int j = 0; j < kernel->cols; j++)
{
ve = cvGetReal2D((CvMat*)kernel, i, j);
cvSetReal2D( (IplImage*)pImage, j, i, ve );
}
}
break;
case 2: //Imag
cvCopy( (CvMat*)Imag, (CvMat*)kernel, NULL );
//pImage = cvGetImage( (CvMat*)kernel, pImageGL );
for (int i = 0; i < kernel->rows; i++)
{
for (int j = 0; j < kernel->cols; j++)
{
ve = cvGetReal2D((CvMat*)kernel, i, j);
cvSetReal2D( (IplImage*)pImage, j, i, ve );
}
}
break;
case 3: //Magnitude
///@todo
break;
case 4: //Phase
///@todo
break;
}
cvNormalize((IplImage*)pImage, (IplImage*)pImage, 0, 255, CV_MINMAX, NULL );
cvConvertScaleAbs( (IplImage*)pImage, (IplImage*)newimage, 1, 0 );
cvReleaseMat(&kernel);
cvReleaseImage(&pImage);
return newimage;
}
}
/*!
\fn CvGabor::IsKernelCreate()
Determine the gabor kernel is created or not
Parameters:
None
Returns:
a boolean value, TRUE is created or FALSE is non-created.
Determine whether a gabor kernel is created.
*/
bool CvGabor::IsKernelCreate()
{
return bKernel;
}
/*!
\fn CvGabor::get_mask_width()
Reads the width of Mask
Parameters:
None
Returns:
Pointer to long type width of mask.
*/
long CvGabor::get_mask_width()
{
return Width;
}
/*!
\fn CvGabor::Init(int iMu, int iNu, double dSigma, double dF)
Initilize the.gabor
Parameters:
iMu The orientations which is iMu*PI.8
iNu The scale can be from -5 to infinit
dSigma The Sigma value of gabor, Normally set to 2*PI
dF The spatial frequence , normally is sqrt(2)
Returns:
Initilize the.gabor with the orientation iMu, the scale iNu, the sigma dSigma, the frequency dF, it will call the function creat_kernel(); So a gabor is created.
*/
void CvGabor::Init(int iMu, int iNu, double dSigma, double dF)
{
//Initilise the parameters
bInitialised = FALSE;
bKernel = FALSE;
Sigma = dSigma;
F = dF;
Kmax = PI/2;
// Absolute value of K
K = Kmax / pow(F, (float)iNu);
Phi = PI*iMu/8;
bInitialised = TRUE;
Width = mask_width();
Real = cvCreateMat( Width, Width, CV_32FC1);
Imag = cvCreateMat( Width, Width, CV_32FC1);
creat_kernel();
}
/*!
\fn CvGabor::Init(double dPhi, int iNu, double dSigma, double dF)
Initilize the.gabor
Parameters:
dPhi The orientations
iNu The scale can be from -5 to infinit
dSigma The Sigma value of gabor, Normally set to 2*PI
dF The spatial frequence , normally is sqrt(2)
Returns:
None
Initilize the.gabor with the orientation dPhi, the scale iNu, the sigma dSigma, the frequency dF, it will call the function creat_kernel(); So a gabor is created.filename The name of the image file
file_format The format of the file, e.g. GAN_PNG_FORMAT
image The image structure to be written to the file
octrlstr Format-dependent control structure
*/
void CvGabor::Init(double dPhi, int iNu, double dSigma, double dF)
{
bInitialised = FALSE;
bKernel = FALSE;
Sigma = dSigma;
F = dF;
Kmax = PI/2;
// Absolute value of K
K = Kmax / pow(F, (float)iNu);
Phi = dPhi;
bInitialised = TRUE;
Width = mask_width();
Real = cvCreateMat( Width, Width, CV_32FC1);
Imag = cvCreateMat( Width, Width, CV_32FC1);
creat_kernel();
}
/*!
\fn CvGabor::get_matrix(int Type)
Get a matrix by the type of kernel
Parameters:
Type The type of kernel, e.g. REAL, IMAG, MAG, PHASE
Returns:
Pointer to matrix structure, or NULL on failure.
Return the gabor kernel.
*/
CvMat* CvGabor::get_matrix(int Type)
{
if (!IsKernelCreate()) {perror("Error: the gabor kernel has not been created!\n"); return NULL;}
switch (Type)
{
case CV_GABOR_REAL:
return Real;
break;
case CV_GABOR_IMAG:
return Imag;
break;
case CV_GABOR_MAG:
return NULL;
break;
case CV_GABOR_PHASE:
return NULL;
break;
}
}
/*!
\fn CvGabor::output_file(const char *filename, Gan_ImageFileFormat file_format, int Type)
Writes a gabor kernel as an image file.
Parameters:
filename The name of the image file
file_format The format of the file, e.g. GAN_PNG_FORMAT
Type The Type of gabor kernel, e.g. REAL, IMAG, MAG, PHASE
Returns:
None
Writes an image from the provided image structure into the given file and the type of gabor kernel.
*/
void CvGabor::output_file(const char *filename, int Type)
{
IplImage *pImage;
pImage = get_image(Type);
if(pImage != NULL)
{
if( cvSaveImage(filename, pImage )) printf("%s has been written successfully!\n", filename);
else printf("Error: writting %s has failed!\n", filename);
}
else
perror("Error: the image is empty in output_file()!\n");
cvReleaseImage(&pImage);
}
/*!
\fn CvGabor::show(int Type)
*/
void CvGabor::show(int Type)
{
if(!IsInit()) {
perror("Error: the gabor kernel has not been created!\n");
}
else {
IplImage *pImage;
pImage = get_image(Type);
cvNamedWindow("Testing",1);
cvShowImage("Testing",pImage);
cvWaitKey(0);
cvDestroyWindow("Testing");
cvReleaseImage(&pImage);
}
}
/*!
\fn CvGabor::conv_img(IplImage *src, IplImage *dst, int Type)
*/
void CvGabor::conv_img(IplImage *src, IplImage *dst, int Type)
{
double ve, re,im;
CvMat *mat = cvCreateMat(src->width, src->height, CV_32FC1);
for (int i = 0; i < src->width; i++)
{
for (int j = 0; j < src->height; j++)
{
ve = cvGetReal2D((IplImage*)src, j, i);
cvSetReal2D( (CvMat*)mat, i, j, ve );
}
}
CvMat *rmat = cvCreateMat(src->width, src->height, CV_32FC1);
CvMat *imat = cvCreateMat(src->width, src->height, CV_32FC1);
CvMat *kernel = cvCreateMat( Width, Width, CV_32FC1 );
switch (Type)
{
case CV_GABOR_REAL:
cvCopy( (CvMat*)Real, (CvMat*)kernel, NULL );
cvFilter2D( (CvMat*)mat, (CvMat*)mat, (CvMat*)kernel, cvPoint( (Width-1)/2, (Width-1)/2));
break;
case CV_GABOR_IMAG:
cvCopy( (CvMat*)Imag, (CvMat*)kernel, NULL );
cvFilter2D( (CvMat*)mat, (CvMat*)mat, (CvMat*)kernel, cvPoint( (Width-1)/2, (Width-1)/2));
break;
case CV_GABOR_MAG:
/* Real Response */
cvCopy( (CvMat*)Real, (CvMat*)kernel, NULL );
cvFilter2D( (CvMat*)mat, (CvMat*)rmat, (CvMat*)kernel, cvPoint( (Width-1)/2, (Width-1)/2));
/* Imag Response */
cvCopy( (CvMat*)Imag, (CvMat*)kernel, NULL );
cvFilter2D( (CvMat*)mat, (CvMat*)imat, (CvMat*)kernel, cvPoint( (Width-1)/2, (Width-1)/2));
/* Magnitude response is the square root of the sum of the square of real response and imaginary response */
for (int i = 0; i < mat->rows; i++)
{
for (int j = 0; j < mat->cols; j++)
{
re = cvGetReal2D((CvMat*)rmat, i, j);
im = cvGetReal2D((CvMat*)imat, i, j);
ve = sqrt(re*re + im*im);
cvSetReal2D( (CvMat*)mat, i, j, ve );
}
}
break;
case CV_GABOR_PHASE:
break;
}
if (dst->depth == IPL_DEPTH_8U)
{
cvNormalize((CvMat*)mat, (CvMat*)mat, 0, 255, CV_MINMAX);
for (int i = 0; i < mat->rows; i++)
{
for (int j = 0; j < mat->cols; j++)
{
ve = cvGetReal2D((CvMat*)mat, i, j);
ve = cvRound(ve);
cvSetReal2D( (IplImage*)dst, j, i, ve );
}
}
}
if (dst->depth == IPL_DEPTH_32F)
{
for (int i = 0; i < mat->rows; i++)
{
for (int j = 0; j < mat->cols; j++)
{
ve = cvGetReal2D((CvMat*)mat, i, j);
cvSetReal2D( (IplImage*)dst, j, i, ve );
}
}
}
cvReleaseMat(&kernel);
cvReleaseMat(&imat);
cvReleaseMat(&rmat);
cvReleaseMat(&mat);
}
cvgabor.h
/***************************************************************************
* Copyright (C) 2006 by Mian Zhou *
*
[email protected] *
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
* This program is distributed in the hope that it will be useful, *
* but WITHOUT ANY WARRANTY; without even the implied warranty of *
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
* GNU General Public License for more details. *
* *
* You should have received a copy of the GNU General Public License *
* along with this program; if not, write to the *
* Free Software Foundation, Inc., *
* 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. *
***************************************************************************/
#ifndef CVGABOR_H
#define CVGABOR_H
#include <iostream>
#include <cv.h>
#include <highgui.h>
#define PI 3.14159265
#define FALSE 0
#define TRUE 1
#define CV_GABOR_REAL 1
#define CV_GABOR_IMAG 2
#define CV_GABOR_MAG 3
#define CV_GABOR_PHASE 4
/**
@author Mian Zhou
*/
class CvGabor{
public:
CvGabor();
~CvGabor();
CvGabor(int iMu, int iNu);
CvGabor(int iMu, int iNu, float dSigma);
CvGabor(int iMu, int iNu, float dSigma, float dF);
CvGabor(float dPhi, int iNu);
CvGabor(float dPhi, int iNu, float dSigma);
CvGabor(float dPhi, int iNu, float dSigma, float dF);
bool IsInit();
long mask_width();
IplImage* get_image(int Type);
bool IsKernelCreate();
long get_mask_width();
void Init(int iMu, int iNu, double dSigma, double dF);
void Init(double dPhi, int iNu, double dSigma, double dF);
void output_file(const char *filename, int Type);
CvMat* get_matrix(int Type);
void show(int Type);
void conv_img(IplImage *src, IplImage *dst, int Type);
protected:
float Sigma;
float F;
float Kmax;
float K;
float Phi;
bool bInitialised;
bool bKernel;
long Width;
CvMat *Imag;
CvMat *Real;
private:
void creat_kernel();
};
#endif