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/** @file */
/* The MIT License
*
* Copyright (c) 2008, Naotoshi Seo <sonots(at)sonots.com>
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#ifndef CV_CROPIMAGEROI_INCLUDED
#define CV_CROPIMAGEROI_INCLUDED
#include "cv.h"
#include "cvaux.h"
#include "cxcore.h"
#define _USE_MATH_DEFINES
#include <math.h>
#include "cvcreateaffine.h"
#include "cvrect32f.h"
#include "cvget2dinter.h"
//CVAPI(void)
//cvCropImageROI( const IplImage* img, IplImage* dst,
// CvRect32f rect32f = cvRect32f(0,0,1,1,0),
// CvPoint2D32f shear = cvPoint2D32f(0,0) );
//CV_INLINE void
//cvShowCroppedImage( const char* w_name, IplImage* img,
// CvRect32f rect32f = cvRect32f(0,0,1,1,0),
// CvPoint2D32f shear = cvPoint2D32f(0,0) );
/**
* Crop image with rotated and sheared rectangle
*
* @code
* IplImage* dst = cvCreateImage( cvSize( rect.width, rect.height ), img->depth, img->nChannels );
* @endcode
* If you want define rotation center as the center of the rectangle,
* use CvBox32f and use cvRect32fBox32( box32f ) for the rect32f argument.
*
* @param img The target image
* @param dst The cropped image
* @param rect32f The rectangle region (x,y,width,height) to crop and
* the rotation angle in degree where the rotation center is (x,y)
* @param shear The shear deformation parameter shx and shy
* @param interpolation The interpolation method.
* CV_INTER_NN - Nearest Neighborhood method
* CV_INTER_LINEAR - Bilinear interpolation
* @return CVAPI(void)
*/
CVAPI(void)
cvCropImageROI( const IplImage* img, IplImage* dst,
CvRect32f rect32f CV_DEFAULT(cvRect32f(0,0,1,1,0)),
CvPoint2D32f shear CV_DEFAULT(cvPoint2D32f(0,0)),
int interpolation CV_DEFAULT(CV_INTER_LINEAR) )
{
CvRect rect = cvRectFromRect32f( rect32f );
float angle = rect32f.angle;
CV_FUNCNAME( "cvCropImageROI" );
__CV_BEGIN__;
CV_ASSERT( rect.width > 0 && rect.height > 0 );
CV_ASSERT( dst->width == rect.width );
CV_ASSERT( dst->height == rect.height );
if( angle == 0 && shear.x == 0 && shear.y == 0 &&
rect.x >= 0 && rect.y >= 0 &&
rect.x + rect.width < img->width && rect.y + rect.height < img->height )
{
CvMat subimg;
cvGetSubRect( img, &subimg, rect );
cvConvert( &subimg, dst );
}
else if( shear.x == 0 && shear.y == 0 )
{
int x, y;
float xp, yp;
double c = cos( -M_PI / 180 * angle );
double s = sin( -M_PI / 180 * angle );
CvScalar color;
/*CvMat* R = cvCreateMat( 2, 3, CV_32FC1 );
cv2DRotationMatrix( cvPoint2D32f( 0, 0 ), angle, 1.0, R );
double c = cvmGet( R, 0, 0 );
double s = cvmGet( R, 1, 0 );
cvReleaseMat( &R );*/
cvZero( dst );
for( x = 0; x < rect.width; x++ )
{
for( y = 0; y < rect.height; y++ )
{
xp = ( c * x + -s * y ) + rect.x;
yp = ( s * x + c * y ) + rect.y;
if( xp <= -0.5 || xp >= img->width - 0.5 || yp <= -0.5 || yp >= img->height - 0.5 ) continue;
color = cvGet2DInter( img, yp, xp, interpolation );
cvSet2D( dst, y, x, color );
//xp = cvRound( c * x + -s * y ) + rect.x;
//yp = cvRound( s * x + c * y ) + rect.y;
//if( xp < 0 || xp >= img->width || yp < 0 || yp >= img->height ) continue;
//for( ch = 0; ch < img->nChannels; ch++ )
//{
// dst->imageData[dst->widthStep * y + x * dst->nChannels + ch]
// = img->imageData[img->widthStep * yp + xp * img->nChannels + ch];
//}
}
}
}
else
{
int x, y;
float xp, yp;
CvScalar color;
CvMat* affine = cvCreateMat( 2, 3, CV_32FC1 );
CvMat* xy = cvCreateMat( 3, 1, CV_32FC1 );
CvMat* xyp = cvCreateMat( 2, 1, CV_32FC1 );
cvCreateAffine( affine, rect32f, shear );
cvmSet( xy, 2, 0, 1.0 );
cvZero( dst );
for( x = 0; x < rect.width; x++ )
{
cvmSet( xy, 0, 0, x / rect32f.width );
for( y = 0; y < rect.height; y++ )
{
cvmSet( xy, 1, 0, y / rect32f.height );
cvMatMul( affine, xy, xyp );
xp = cvmGet( xyp, 0, 0 );
yp = cvmGet( xyp, 1, 0 );
if( xp <= -0.5 || xp >= img->width - 0.5 || yp <= -0.5 || yp >= img->height - 0.5 ) continue;
color = cvGet2DInter( img, yp, xp, interpolation );
cvSet2D( dst, y, x, color );
//xp = cvRound( cvmGet( xyp, 0, 0 ) );
//yp = cvRound( cvmGet( xyp, 1, 0 ) );
//if( xp < 0 || xp >= img->width || yp < 0 || yp >= img->height ) continue;
//for( ch = 0; ch < img->nChannels; ch++ )
//{
// dst->imageData[dst->widthStep * y + x * dst->nChannels + ch]
// = img->imageData[img->widthStep * yp + xp * img->nChannels + ch];
//}
}
}
cvReleaseMat( &affine );
cvReleaseMat( &xy );
cvReleaseMat( &xyp );
}
__CV_END__;
}
/**
* Crop and show the Cropped Image
*
* @param w_name Window name
* @param img Image to be cropped
* @param rect32f The rectangle region (x,y,width,height) to crop and
* the rotation angle in degree
* @param shear The shear deformation parameter shx and shy
* @return CVAPI(void)
* @uses cvCropImageROI
*/
CV_INLINE void
cvShowCroppedImage( const char* w_name, IplImage* img,
CvRect32f rect32f CV_DEFAULT(cvRect32f(0,0,1,1,0)),
CvPoint2D32f shear CV_DEFAULT(cvPoint2D32f(0,0)) )
{
CvRect rect = cvRectFromRect32f( rect32f );
if( rect.width <= 0 || rect.height <= 0 ) return;
IplImage* crop = cvCreateImage( cvSize( rect.width, rect.height ), img->depth, img->nChannels );
cvCropImageROI( img, crop, rect32f, shear );
cvShowImage( w_name, crop );
cvReleaseImage( &crop );
}
#endif