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https://github.com/opencv/opencv.git
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Rewite polar transforms (#11323)
* Rewrite polar transformations - A new wrapPolar function encapsulate both linear and semi-log remap - Destination size is a parameter or calculated automatically to keep objects size between remapping - linearPolar and logPolar has been deprecated * Fix build warning and error in accuracy test * Fix function name to warpPolar * Explicitly specify the mapping mode, so we retain all the parameters as non-optional. Introduces WarpPolarMode enum to specify the mapping mode in flags * resolves performance warning on windows build * removed duplicated logPolar and linearPolar implementations
This commit is contained in:
+100
-359
@@ -1377,6 +1377,10 @@ static bool ocl_remap(InputArray _src, OutputArray _dst, InputArray _map1, Input
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return k.run(2, globalThreads, NULL, false);
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}
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#if 0
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/**
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@deprecated with old version of cv::linearPolar
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*/
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static bool ocl_linearPolar(InputArray _src, OutputArray _dst,
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Point2f center, double maxRadius, int flags)
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{
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@@ -1517,6 +1521,8 @@ static bool ocl_logPolar(InputArray _src, OutputArray _dst,
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}
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#endif
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#endif
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#ifdef HAVE_OPENVX
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static bool openvx_remap(Mat src, Mat dst, Mat map1, Mat map2, int interpolation, const Scalar& borderValue)
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{
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@@ -3252,397 +3258,86 @@ cvConvertMaps( const CvArr* arr1, const CvArr* arr2, CvArr* dstarr1, CvArr* dsta
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cv::convertMaps( map1, map2, dstmap1, dstmap2, dstmap1.type(), false );
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}
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/****************************************************************************************\
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* Log-Polar Transform *
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\****************************************************************************************/
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/* now it is done via Remap; more correct implementation should use
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some super-sampling technique outside of the "fovea" circle */
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CV_IMPL void
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cvLogPolar( const CvArr* srcarr, CvArr* dstarr,
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CvPoint2D32f center, double M, int flags )
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{
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Mat src_with_border; // don't scope this variable (it holds image data)
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cv::Ptr<CvMat> mapx, mapy;
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CvMat srcstub, *src = cvGetMat(srcarr, &srcstub);
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CvMat dststub, *dst = cvGetMat(dstarr, &dststub);
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CvSize dsize;
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if( !CV_ARE_TYPES_EQ( src, dst ))
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CV_Error( CV_StsUnmatchedFormats, "" );
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if( M <= 0 )
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CV_Error( CV_StsOutOfRange, "M should be >0" );
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dsize = cvGetMatSize(dst);
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mapx.reset(cvCreateMat( dsize.height, dsize.width, CV_32F ));
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mapy.reset(cvCreateMat( dsize.height, dsize.width, CV_32F ));
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if( !(flags & CV_WARP_INVERSE_MAP) )
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{
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int phi, rho;
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cv::AutoBuffer<double> _exp_tab(dsize.width);
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double* exp_tab = _exp_tab;
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for( rho = 0; rho < dst->width; rho++ )
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exp_tab[rho] = std::exp(rho/M) - 1.0;
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for( phi = 0; phi < dsize.height; phi++ )
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{
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double cp = cos(phi*2*CV_PI/dsize.height);
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double sp = sin(phi*2*CV_PI/dsize.height);
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float* mx = (float*)(mapx->data.ptr + phi*mapx->step);
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float* my = (float*)(mapy->data.ptr + phi*mapy->step);
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for( rho = 0; rho < dsize.width; rho++ )
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{
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double r = exp_tab[rho];
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double x = r*cp + center.x;
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double y = r*sp + center.y;
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mx[rho] = (float)x;
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my[rho] = (float)y;
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}
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}
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}
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else
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{
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const int ANGLE_BORDER = 1;
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Mat src_ = cv::cvarrToMat(src);
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cv::copyMakeBorder(src_, src_with_border, ANGLE_BORDER, ANGLE_BORDER, 0, 0, BORDER_WRAP);
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srcstub = src_with_border; src = &srcstub;
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CvSize ssize = cvGetMatSize(src);
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ssize.height -= 2*ANGLE_BORDER;
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int x, y;
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CvMat bufx, bufy, bufp, bufa;
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double ascale = ssize.height/(2*CV_PI);
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cv::AutoBuffer<float> _buf(4*dsize.width);
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float* buf = _buf;
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bufx = cvMat( 1, dsize.width, CV_32F, buf );
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bufy = cvMat( 1, dsize.width, CV_32F, buf + dsize.width );
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bufp = cvMat( 1, dsize.width, CV_32F, buf + dsize.width*2 );
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bufa = cvMat( 1, dsize.width, CV_32F, buf + dsize.width*3 );
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for( x = 0; x < dsize.width; x++ )
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bufx.data.fl[x] = (float)x - center.x;
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for( y = 0; y < dsize.height; y++ )
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{
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float* mx = (float*)(mapx->data.ptr + y*mapx->step);
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float* my = (float*)(mapy->data.ptr + y*mapy->step);
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for( x = 0; x < dsize.width; x++ )
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bufy.data.fl[x] = (float)y - center.y;
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#if 1
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cvCartToPolar( &bufx, &bufy, &bufp, &bufa );
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for( x = 0; x < dsize.width; x++ )
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bufp.data.fl[x] += 1.f;
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cvLog( &bufp, &bufp );
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for( x = 0; x < dsize.width; x++ )
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{
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double rho = bufp.data.fl[x]*M;
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double phi = bufa.data.fl[x]*ascale;
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mx[x] = (float)rho;
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my[x] = (float)phi + ANGLE_BORDER;
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}
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#else
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for( x = 0; x < dsize.width; x++ )
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{
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double xx = bufx.data.fl[x];
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double yy = bufy.data.fl[x];
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double p = log(std::sqrt(xx*xx + yy*yy) + 1.)*M;
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double a = atan2(yy,xx);
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if( a < 0 )
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a = 2*CV_PI + a;
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a *= ascale;
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mx[x] = (float)p;
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my[x] = (float)a;
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}
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#endif
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}
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}
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cvRemap( src, dst, mapx, mapy, flags, cvScalarAll(0) );
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}
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void cv::logPolar( InputArray _src, OutputArray _dst,
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Point2f center, double M, int flags )
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{
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CV_INSTRUMENT_REGION()
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CV_OCL_RUN(_src.isUMat() && _dst.isUMat(),
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ocl_logPolar(_src, _dst, center, M, flags));
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Mat src_with_border; // don't scope this variable (it holds image data)
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Mat mapx, mapy;
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Mat srcstub, src = _src.getMat();
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_dst.create(src.size(), src.type());
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Size dsize = src.size();
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if (M <= 0)
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CV_Error(CV_StsOutOfRange, "M should be >0");
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mapx.create(dsize, CV_32F);
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mapy.create(dsize, CV_32F);
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if (!(flags & CV_WARP_INVERSE_MAP))
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{
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int phi, rho;
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cv::AutoBuffer<double> _exp_tab(dsize.width);
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double* exp_tab = _exp_tab;
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for (rho = 0; rho < dsize.width; rho++)
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exp_tab[rho] = std::exp(rho / M) - 1.0;
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for (phi = 0; phi < dsize.height; phi++)
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{
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double cp = std::cos(phi * 2 * CV_PI / dsize.height);
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double sp = std::sin(phi * 2 * CV_PI / dsize.height);
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float* mx = (float*)(mapx.data + phi*mapx.step);
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float* my = (float*)(mapy.data + phi*mapy.step);
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for (rho = 0; rho < dsize.width; rho++)
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{
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double r = exp_tab[rho];
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double x = r*cp + center.x;
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double y = r*sp + center.y;
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mx[rho] = (float)x;
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my[rho] = (float)y;
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}
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}
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}
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else
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{
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const int ANGLE_BORDER = 1;
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cv::copyMakeBorder(src, src_with_border, ANGLE_BORDER, ANGLE_BORDER, 0, 0, BORDER_WRAP);
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srcstub = src_with_border; src = srcstub;
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Size ssize = src.size();
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ssize.height -= 2 * ANGLE_BORDER;
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int x, y;
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Mat bufx, bufy, bufp, bufa;
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double ascale = ssize.height / (2 * CV_PI);
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bufx = Mat(1, dsize.width, CV_32F);
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bufy = Mat(1, dsize.width, CV_32F);
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bufp = Mat(1, dsize.width, CV_32F);
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bufa = Mat(1, dsize.width, CV_32F);
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for (x = 0; x < dsize.width; x++)
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bufx.at<float>(0, x) = (float)x - center.x;
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for (y = 0; y < dsize.height; y++)
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{
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float* mx = (float*)(mapx.data + y*mapx.step);
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float* my = (float*)(mapy.data + y*mapy.step);
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for (x = 0; x < dsize.width; x++)
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bufy.at<float>(0, x) = (float)y - center.y;
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#if 1
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cartToPolar(bufx, bufy, bufp, bufa);
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for (x = 0; x < dsize.width; x++)
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bufp.at<float>(0, x) += 1.f;
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log(bufp, bufp);
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for (x = 0; x < dsize.width; x++)
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{
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double rho = bufp.at<float>(0, x) * M;
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double phi = bufa.at<float>(0, x) * ascale;
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mx[x] = (float)rho;
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my[x] = (float)phi + ANGLE_BORDER;
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}
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#else
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for (x = 0; x < dsize.width; x++)
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{
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double xx = bufx.at<float>(0, x);
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double yy = bufy.at<float>(0, x);
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double p = log(std::sqrt(xx*xx + yy*yy) + 1.)*M;
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double a = atan2(yy, xx);
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if (a < 0)
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a = 2 * CV_PI + a;
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a *= ascale;
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mx[x] = (float)p;
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my[x] = (float)a;
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}
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#endif
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}
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}
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remap(src, _dst, mapx, mapy, flags & cv::INTER_MAX,
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(flags & CV_WARP_FILL_OUTLIERS) ? cv::BORDER_CONSTANT : cv::BORDER_TRANSPARENT);
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}
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/****************************************************************************************
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Linear-Polar Transform
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J.L. Blanco, Apr 2009
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****************************************************************************************/
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CV_IMPL
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void cvLinearPolar( const CvArr* srcarr, CvArr* dstarr,
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CvPoint2D32f center, double maxRadius, int flags )
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PkLab.net 2018 based on cv::linearPolar from OpenCV by J.L. Blanco, Apr 2009
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****************************************************************************************/
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void cv::warpPolar(InputArray _src, OutputArray _dst, Size dsize,
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Point2f center, double maxRadius, int flags)
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{
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Mat src_with_border; // don't scope this variable (it holds image data)
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cv::Ptr<CvMat> mapx, mapy;
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CvMat srcstub, *src = (CvMat*)srcarr;
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CvMat dststub, *dst = (CvMat*)dstarr;
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CvSize dsize;
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src = cvGetMat( srcarr, &srcstub,0,0 );
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dst = cvGetMat( dstarr, &dststub,0,0 );
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if( !CV_ARE_TYPES_EQ( src, dst ))
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CV_Error( CV_StsUnmatchedFormats, "" );
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dsize = cvGetMatSize(dst);
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mapx.reset(cvCreateMat( dsize.height, dsize.width, CV_32F ));
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mapy.reset(cvCreateMat( dsize.height, dsize.width, CV_32F ));
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if( !(flags & CV_WARP_INVERSE_MAP) )
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// if dest size is empty given than calculate using proportional setting
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// thus we calculate needed angles to keep same area as bounding circle
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if ((dsize.width <= 0) && (dsize.height <= 0))
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{
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int phi, rho;
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for( phi = 0; phi < dsize.height; phi++ )
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{
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double cp = cos(phi*2*CV_PI/dsize.height);
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double sp = sin(phi*2*CV_PI/dsize.height);
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float* mx = (float*)(mapx->data.ptr + phi*mapx->step);
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float* my = (float*)(mapy->data.ptr + phi*mapy->step);
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for( rho = 0; rho < dsize.width; rho++ )
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{
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double r = maxRadius*rho/dsize.width;
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double x = r*cp + center.x;
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double y = r*sp + center.y;
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mx[rho] = (float)x;
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my[rho] = (float)y;
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}
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}
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dsize.width = cvRound(maxRadius);
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dsize.height = cvRound(maxRadius * CV_PI);
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}
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else
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else if (dsize.height <= 0)
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{
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const int ANGLE_BORDER = 1;
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Mat src_ = cv::cvarrToMat(src);
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cv::copyMakeBorder(src_, src_with_border, ANGLE_BORDER, ANGLE_BORDER, 0, 0, BORDER_WRAP);
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srcstub = src_with_border; src = &srcstub;
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CvSize ssize = cvGetMatSize(src);
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ssize.height -= 2*ANGLE_BORDER;
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int x, y;
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CvMat bufx, bufy, bufp, bufa;
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const double ascale = ssize.height/(2*CV_PI);
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const double pscale = ssize.width/maxRadius;
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cv::AutoBuffer<float> _buf(4*dsize.width);
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float* buf = _buf;
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bufx = cvMat( 1, dsize.width, CV_32F, buf );
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bufy = cvMat( 1, dsize.width, CV_32F, buf + dsize.width );
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bufp = cvMat( 1, dsize.width, CV_32F, buf + dsize.width*2 );
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bufa = cvMat( 1, dsize.width, CV_32F, buf + dsize.width*3 );
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for( x = 0; x < dsize.width; x++ )
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bufx.data.fl[x] = (float)x - center.x;
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for( y = 0; y < dsize.height; y++ )
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{
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float* mx = (float*)(mapx->data.ptr + y*mapx->step);
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float* my = (float*)(mapy->data.ptr + y*mapy->step);
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for( x = 0; x < dsize.width; x++ )
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bufy.data.fl[x] = (float)y - center.y;
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cvCartToPolar( &bufx, &bufy, &bufp, &bufa, 0 );
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for( x = 0; x < dsize.width; x++ )
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{
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double rho = bufp.data.fl[x]*pscale;
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double phi = bufa.data.fl[x]*ascale;
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mx[x] = (float)rho;
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my[x] = (float)phi + ANGLE_BORDER;
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}
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}
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dsize.height = cvRound(dsize.width * CV_PI);
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}
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cvRemap( src, dst, mapx, mapy, flags, cvScalarAll(0) );
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}
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void cv::linearPolar( InputArray _src, OutputArray _dst,
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Point2f center, double maxRadius, int flags )
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{
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CV_INSTRUMENT_REGION()
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CV_OCL_RUN(_src.isUMat() && _dst.isUMat(),
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ocl_linearPolar(_src, _dst, center, maxRadius, flags));
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Mat src_with_border; // don't scope this variable (it holds image data)
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Mat mapx, mapy;
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Mat srcstub, src = _src.getMat();
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_dst.create(src.size(), src.type());
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Size dsize = src.size();
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mapx.create(dsize, CV_32F);
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mapy.create(dsize, CV_32F);
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bool semiLog = (flags & WARP_POLAR_LOG) != 0;
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if (!(flags & CV_WARP_INVERSE_MAP))
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{
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double Kangle = CV_2PI / dsize.height;
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int phi, rho;
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// precalculate scaled rho
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Mat rhos = Mat(1, dsize.width, CV_32F);
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float* bufRhos = (float*)(rhos.data);
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if (semiLog)
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{
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double Kmag = std::log(maxRadius) / dsize.width;
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for (rho = 0; rho < dsize.width; rho++)
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bufRhos[rho] = (float)(std::exp(rho * Kmag) - 1.0);
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}
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else
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{
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double Kmag = maxRadius / dsize.width;
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for (rho = 0; rho < dsize.width; rho++)
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bufRhos[rho] = (float)(rho * Kmag);
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}
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for (phi = 0; phi < dsize.height; phi++)
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{
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double cp = std::cos(phi * 2 * CV_PI / dsize.height);
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double sp = std::sin(phi * 2 * CV_PI / dsize.height);
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double KKy = Kangle * phi;
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double cp = std::cos(KKy);
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double sp = std::sin(KKy);
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float* mx = (float*)(mapx.data + phi*mapx.step);
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float* my = (float*)(mapy.data + phi*mapy.step);
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for (rho = 0; rho < dsize.width; rho++)
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{
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double r = maxRadius*rho / dsize.width;
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double x = r*cp + center.x;
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double y = r*sp + center.y;
|
||||
double x = bufRhos[rho] * cp + center.x;
|
||||
double y = bufRhos[rho] * sp + center.y;
|
||||
|
||||
mx[rho] = (float)x;
|
||||
my[rho] = (float)y;
|
||||
}
|
||||
}
|
||||
remap(_src, _dst, mapx, mapy, flags & cv::INTER_MAX, (flags & CV_WARP_FILL_OUTLIERS) ? cv::BORDER_CONSTANT : cv::BORDER_TRANSPARENT);
|
||||
}
|
||||
else
|
||||
{
|
||||
const int ANGLE_BORDER = 1;
|
||||
|
||||
cv::copyMakeBorder(src, src_with_border, ANGLE_BORDER, ANGLE_BORDER, 0, 0, BORDER_WRAP);
|
||||
src = src_with_border;
|
||||
Size ssize = src_with_border.size();
|
||||
cv::copyMakeBorder(_src, _dst, ANGLE_BORDER, ANGLE_BORDER, 0, 0, BORDER_WRAP);
|
||||
Mat src = _dst.getMat();
|
||||
Size ssize = _dst.size();
|
||||
ssize.height -= 2 * ANGLE_BORDER;
|
||||
const double Kangle = CV_2PI / ssize.height;
|
||||
double Kmag;
|
||||
if (semiLog)
|
||||
Kmag = std::log(maxRadius) / ssize.width;
|
||||
else
|
||||
Kmag = maxRadius / ssize.width;
|
||||
|
||||
int x, y;
|
||||
Mat bufx, bufy, bufp, bufa;
|
||||
const double ascale = ssize.height / (2 * CV_PI);
|
||||
const double pscale = ssize.width / maxRadius;
|
||||
|
||||
|
||||
|
||||
bufx = Mat(1, dsize.width, CV_32F);
|
||||
bufy = Mat(1, dsize.width, CV_32F);
|
||||
@@ -3662,17 +3357,63 @@ void cv::linearPolar( InputArray _src, OutputArray _dst,
|
||||
|
||||
cartToPolar(bufx, bufy, bufp, bufa, 0);
|
||||
|
||||
if (semiLog)
|
||||
{
|
||||
bufp += 1.f;
|
||||
log(bufp, bufp);
|
||||
}
|
||||
|
||||
for (x = 0; x < dsize.width; x++)
|
||||
{
|
||||
double rho = bufp.at<float>(0, x) * pscale;
|
||||
double phi = bufa.at<float>(0, x) * ascale;
|
||||
double rho = bufp.at<float>(0, x) / Kmag;
|
||||
double phi = bufa.at<float>(0, x) / Kangle;
|
||||
mx[x] = (float)rho;
|
||||
my[x] = (float)phi + ANGLE_BORDER;
|
||||
}
|
||||
}
|
||||
remap(src, _dst, mapx, mapy, flags & cv::INTER_MAX,
|
||||
(flags & CV_WARP_FILL_OUTLIERS) ? cv::BORDER_CONSTANT : cv::BORDER_TRANSPARENT);
|
||||
}
|
||||
}
|
||||
|
||||
remap(src, _dst, mapx, mapy, flags & cv::INTER_MAX, (flags & CV_WARP_FILL_OUTLIERS) ? cv::BORDER_CONSTANT : cv::BORDER_TRANSPARENT);
|
||||
void cv::linearPolar( InputArray _src, OutputArray _dst,
|
||||
Point2f center, double maxRadius, int flags )
|
||||
{
|
||||
warpPolar(_src, _dst, _src.size(), center, maxRadius, flags & ~WARP_POLAR_LOG);
|
||||
}
|
||||
|
||||
void cv::logPolar( InputArray _src, OutputArray _dst,
|
||||
Point2f center, double maxRadius, int flags )
|
||||
{
|
||||
Size ssize = _src.size();
|
||||
double M = maxRadius > 0 ? std::exp(ssize.width / maxRadius) : 1;
|
||||
warpPolar(_src, _dst, ssize, center, M, flags | WARP_POLAR_LOG);
|
||||
}
|
||||
|
||||
CV_IMPL
|
||||
void cvLinearPolar( const CvArr* srcarr, CvArr* dstarr,
|
||||
CvPoint2D32f center, double maxRadius, int flags )
|
||||
{
|
||||
Mat src = cvarrToMat(srcarr);
|
||||
Mat dst = cvarrToMat(dstarr);
|
||||
|
||||
CV_Assert(src.size == dst.size);
|
||||
CV_Assert(src.type() == dst.type());
|
||||
|
||||
cv::linearPolar(src, dst, center, maxRadius, flags);
|
||||
}
|
||||
|
||||
CV_IMPL
|
||||
void cvLogPolar( const CvArr* srcarr, CvArr* dstarr,
|
||||
CvPoint2D32f center, double M, int flags )
|
||||
{
|
||||
Mat src = cvarrToMat(srcarr);
|
||||
Mat dst = cvarrToMat(dstarr);
|
||||
|
||||
CV_Assert(src.size == dst.size);
|
||||
CV_Assert(src.type() == dst.type());
|
||||
|
||||
cv::logPolar(src, dst, center, M, flags);
|
||||
}
|
||||
|
||||
/* End of file. */
|
||||
|
||||
Reference in New Issue
Block a user