1 /*M///////////////////////////////////////////////////////////////////////////////////////
2 //
3 //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
4 //
5 //  By downloading, copying, installing or using the software you agree to this license.
6 //  If you do not agree to this license, do not download, install,
7 //  copy or use the software.
8 //
9 //
10 //                        Intel License Agreement
11 //                For Open Source Computer Vision Library
12 //
13 // Copyright (C) 2000, Intel Corporation, all rights reserved.
14 // Third party copyrights are property of their respective owners.
15 //
16 // Redistribution and use in source and binary forms, with or without modification,
17 // are permitted provided that the following conditions are met:
18 //
19 //   * Redistribution's of source code must retain the above copyright notice,
20 //     this list of conditions and the following disclaimer.
21 //
22 //   * Redistribution's in binary form must reproduce the above copyright notice,
23 //     this list of conditions and the following disclaimer in the documentation
24 //     and/or other materials provided with the distribution.
25 //
26 //   * The name of Intel Corporation may not be used to endorse or promote products
27 //     derived from this software without specific prior written permission.
28 //
29 // This software is provided by the copyright holders and contributors "as is" and
30 // any express or implied warranties, including, but not limited to, the implied
31 // warranties of merchantability and fitness for a particular purpose are disclaimed.
32 // In no event shall the Intel Corporation or contributors be liable for any direct,
33 // indirect, incidental, special, exemplary, or consequential damages
34 // (including, but not limited to, procurement of substitute goods or services;
35 // loss of use, data, or profits; or business interruption) however caused
36 // and on any theory of liability, whether in contract, strict liability,
37 // or tort (including negligence or otherwise) arising in any way out of
38 // the use of this software, even if advised of the possibility of such damage.
39 //
40 //M*/
41 
42 #include "_cv.h"
43 #include <stdio.h>
44 
45 
46 static void
icvCalcMinEigenVal(const float * cov,int cov_step,float * dst,int dst_step,CvSize size,CvMat * buffer)47 icvCalcMinEigenVal( const float* cov, int cov_step, float* dst,
48                     int dst_step, CvSize size, CvMat* buffer )
49 {
50     int j;
51     float* buf = buffer->data.fl;
52     cov_step /= sizeof(cov[0]);
53     dst_step /= sizeof(dst[0]);
54     buffer->rows = 1;
55 
56     for( ; size.height--; cov += cov_step, dst += dst_step )
57     {
58         for( j = 0; j < size.width; j++ )
59         {
60             double a = cov[j*3]*0.5;
61             double b = cov[j*3+1];
62             double c = cov[j*3+2]*0.5;
63 
64             buf[j + size.width] = (float)(a + c);
65             buf[j] = (float)((a - c)*(a - c) + b*b);
66         }
67 
68         cvPow( buffer, buffer, 0.5 );
69 
70         for( j = 0; j < size.width ; j++ )
71             dst[j] = (float)(buf[j + size.width] - buf[j]);
72     }
73 }
74 
75 
76 static void
icvCalcHarris(const float * cov,int cov_step,float * dst,int dst_step,CvSize size,CvMat *,double k)77 icvCalcHarris( const float* cov, int cov_step, float* dst,
78                int dst_step, CvSize size, CvMat* /*buffer*/, double k )
79 {
80     int j;
81     cov_step /= sizeof(cov[0]);
82     dst_step /= sizeof(dst[0]);
83 
84     for( ; size.height--; cov += cov_step, dst += dst_step )
85     {
86         for( j = 0; j < size.width; j++ )
87         {
88             double a = cov[j*3];
89             double b = cov[j*3+1];
90             double c = cov[j*3+2];
91             dst[j] = (float)(a*c - b*b - k*(a + c)*(a + c));
92         }
93     }
94 }
95 
96 
97 static void
icvCalcEigenValsVecs(const float * cov,int cov_step,float * dst,int dst_step,CvSize size,CvMat * buffer)98 icvCalcEigenValsVecs( const float* cov, int cov_step, float* dst,
99                       int dst_step, CvSize size, CvMat* buffer )
100 {
101     static int y0 = 0;
102 
103     int j;
104     float* buf = buffer->data.fl;
105     cov_step /= sizeof(cov[0]);
106     dst_step /= sizeof(dst[0]);
107 
108     for( ; size.height--; cov += cov_step, dst += dst_step )
109     {
110         for( j = 0; j < size.width; j++ )
111         {
112             double a = cov[j*3]*0.5;
113             double b = cov[j*3+1];
114             double c = cov[j*3+2]*0.5;
115 
116             buf[j + size.width] = (float)(a + c);
117             buf[j] = (float)((a - c)*(a - c) + b*b);
118         }
119 
120         buffer->rows = 1;
121         cvPow( buffer, buffer, 0.5 );
122 
123         for( j = 0; j < size.width; j++ )
124         {
125             double a = cov[j*3];
126             double b = cov[j*3+1];
127             double c = cov[j*3+2];
128 
129             double l1 = buf[j + size.width] + buf[j];
130             double l2 = buf[j + size.width] - buf[j];
131 
132             double x = b;
133             double y = l1 - a;
134             double e = fabs(x);
135 
136             if( e + fabs(y) < 1e-4 )
137             {
138                 y = b;
139                 x = l1 - c;
140                 e = fabs(x);
141                 if( e + fabs(y) < 1e-4 )
142                 {
143                     e = 1./(e + fabs(y) + FLT_EPSILON);
144                     x *= e, y *= e;
145                 }
146             }
147 
148             buf[j] = (float)(x*x + y*y + DBL_EPSILON);
149             dst[6*j] = (float)l1;
150             dst[6*j + 2] = (float)x;
151             dst[6*j + 3] = (float)y;
152 
153             x = b;
154             y = l2 - a;
155             e = fabs(x);
156 
157             if( e + fabs(y) < 1e-4 )
158             {
159                 y = b;
160                 x = l2 - c;
161                 e = fabs(x);
162                 if( e + fabs(y) < 1e-4 )
163                 {
164                     e = 1./(e + fabs(y) + FLT_EPSILON);
165                     x *= e, y *= e;
166                 }
167             }
168 
169             buf[j + size.width] = (float)(x*x + y*y + DBL_EPSILON);
170             dst[6*j + 1] = (float)l2;
171             dst[6*j + 4] = (float)x;
172             dst[6*j + 5] = (float)y;
173         }
174 
175         buffer->rows = 2;
176         cvPow( buffer, buffer, -0.5 );
177 
178         for( j = 0; j < size.width; j++ )
179         {
180             double t0 = buf[j]*dst[6*j + 2];
181             double t1 = buf[j]*dst[6*j + 3];
182 
183             dst[6*j + 2] = (float)t0;
184             dst[6*j + 3] = (float)t1;
185 
186             t0 = buf[j + size.width]*dst[6*j + 4];
187             t1 = buf[j + size.width]*dst[6*j + 5];
188 
189             dst[6*j + 4] = (float)t0;
190             dst[6*j + 5] = (float)t1;
191         }
192 
193         y0++;
194     }
195 }
196 
197 
198 #define ICV_MINEIGENVAL     0
199 #define ICV_HARRIS          1
200 #define ICV_EIGENVALSVECS   2
201 
202 static void
icvCornerEigenValsVecs(const CvMat * src,CvMat * eigenv,int block_size,int aperture_size,int op_type,double k=0.)203 icvCornerEigenValsVecs( const CvMat* src, CvMat* eigenv, int block_size,
204                         int aperture_size, int op_type, double k=0. )
205 {
206     CvSepFilter dx_filter, dy_filter;
207     CvBoxFilter blur_filter;
208     CvMat *tempsrc = 0;
209     CvMat *Dx = 0, *Dy = 0, *cov = 0;
210     CvMat *sqrt_buf = 0;
211 
212     int buf_size = 1 << 12;
213 
214     CV_FUNCNAME( "icvCornerEigenValsVecs" );
215 
216     __BEGIN__;
217 
218     int i, j, y, dst_y = 0, max_dy, delta = 0;
219     int aperture_size0 = aperture_size;
220     int temp_step = 0, d_step;
221     uchar* shifted_ptr = 0;
222     int depth, d_depth;
223     int stage = CV_START;
224     CvSobelFixedIPPFunc ipp_sobel_vert = 0, ipp_sobel_horiz = 0;
225     CvFilterFixedIPPFunc ipp_scharr_vert = 0, ipp_scharr_horiz = 0;
226     CvSize el_size, size, stripe_size;
227     int aligned_width;
228     CvPoint el_anchor;
229     double factorx, factory;
230     bool use_ipp = false;
231 
232     if( block_size < 3 || !(block_size & 1) )
233         CV_ERROR( CV_StsOutOfRange, "averaging window size must be an odd number >= 3" );
234 
235     if( (aperture_size < 3 && aperture_size != CV_SCHARR) || !(aperture_size & 1) )
236         CV_ERROR( CV_StsOutOfRange,
237         "Derivative filter aperture size must be a positive odd number >=3 or CV_SCHARR" );
238 
239     depth = CV_MAT_DEPTH(src->type);
240     d_depth = depth == CV_8U ? CV_16S : CV_32F;
241 
242     size = cvGetMatSize(src);
243     aligned_width = cvAlign(size.width, 4);
244 
245     aperture_size = aperture_size == CV_SCHARR ? 3 : aperture_size;
246     el_size = cvSize( aperture_size, aperture_size );
247     el_anchor = cvPoint( aperture_size/2, aperture_size/2 );
248 
249     if( aperture_size <= 5 && icvFilterSobelVert_8u16s_C1R_p )
250     {
251         if( depth == CV_8U && aperture_size0 == CV_SCHARR )
252         {
253             ipp_scharr_vert = icvFilterScharrVert_8u16s_C1R_p;
254             ipp_scharr_horiz = icvFilterScharrHoriz_8u16s_C1R_p;
255         }
256         else if( depth == CV_32F && aperture_size0 == CV_SCHARR )
257         {
258             ipp_scharr_vert = icvFilterScharrVert_32f_C1R_p;
259             ipp_scharr_horiz = icvFilterScharrHoriz_32f_C1R_p;
260         }
261         else if( depth == CV_8U )
262         {
263             ipp_sobel_vert = icvFilterSobelVert_8u16s_C1R_p;
264             ipp_sobel_horiz = icvFilterSobelHoriz_8u16s_C1R_p;
265         }
266         else if( depth == CV_32F )
267         {
268             ipp_sobel_vert = icvFilterSobelVert_32f_C1R_p;
269             ipp_sobel_horiz = icvFilterSobelHoriz_32f_C1R_p;
270         }
271     }
272 
273     if( (ipp_sobel_vert && ipp_sobel_horiz) ||
274         (ipp_scharr_vert && ipp_scharr_horiz) )
275     {
276         CV_CALL( tempsrc = icvIPPFilterInit( src, buf_size,
277             cvSize(el_size.width,el_size.height + block_size)));
278         shifted_ptr = tempsrc->data.ptr + el_anchor.y*tempsrc->step +
279                       el_anchor.x*CV_ELEM_SIZE(depth);
280         temp_step = tempsrc->step ? tempsrc->step : CV_STUB_STEP;
281         max_dy = tempsrc->rows - aperture_size + 1;
282         use_ipp = true;
283     }
284     else
285     {
286         ipp_sobel_vert = ipp_sobel_horiz = 0;
287         ipp_scharr_vert = ipp_scharr_horiz = 0;
288 
289         CV_CALL( dx_filter.init_deriv( size.width, depth, d_depth, 1, 0, aperture_size0 ));
290         CV_CALL( dy_filter.init_deriv( size.width, depth, d_depth, 0, 1, aperture_size0 ));
291         max_dy = buf_size / src->cols;
292         max_dy = MAX( max_dy, aperture_size + block_size );
293     }
294 
295     CV_CALL( Dx = cvCreateMat( max_dy, aligned_width, d_depth ));
296     CV_CALL( Dy = cvCreateMat( max_dy, aligned_width, d_depth ));
297     CV_CALL( cov = cvCreateMat( max_dy + block_size + 1, size.width, CV_32FC3 ));
298     CV_CALL( sqrt_buf = cvCreateMat( 2, size.width, CV_32F ));
299     Dx->cols = Dy->cols = size.width;
300 
301     if( !use_ipp )
302         max_dy -= aperture_size - 1;
303     d_step = Dx->step ? Dx->step : CV_STUB_STEP;
304 
305     CV_CALL(blur_filter.init(size.width, CV_32FC3, CV_32FC3, 0, cvSize(block_size,block_size)));
306     stripe_size = size;
307 
308     factorx = (double)(1 << (aperture_size - 1)) * block_size;
309     if( aperture_size0 == CV_SCHARR )
310         factorx *= 2;
311     if( depth == CV_8U )
312         factorx *= 255.;
313     factory = factorx = 1./factorx;
314     if( ipp_sobel_vert )
315         factory = -factory;
316 
317     for( y = 0; y < size.height; y += delta )
318     {
319         if( !use_ipp )
320         {
321             delta = MIN( size.height - y, max_dy );
322             if( y + delta == size.height )
323                 stage = stage & CV_START ? CV_START + CV_END : CV_END;
324             dx_filter.process( src, Dx, cvRect(0,y,-1,delta), cvPoint(0,0), stage );
325             stripe_size.height = dy_filter.process( src, Dy, cvRect(0,y,-1,delta),
326                                                     cvPoint(0,0), stage );
327         }
328         else
329         {
330             delta = icvIPPFilterNextStripe( src, tempsrc, y, el_size, el_anchor );
331             stripe_size.height = delta;
332 
333             if( ipp_sobel_vert )
334             {
335                 IPPI_CALL( ipp_sobel_vert( shifted_ptr, temp_step,
336                         Dx->data.ptr, d_step, stripe_size,
337                         aperture_size*10 + aperture_size ));
338                 IPPI_CALL( ipp_sobel_horiz( shifted_ptr, temp_step,
339                         Dy->data.ptr, d_step, stripe_size,
340                         aperture_size*10 + aperture_size ));
341             }
342             else /*if( ipp_scharr_vert )*/
343             {
344                 IPPI_CALL( ipp_scharr_vert( shifted_ptr, temp_step,
345                         Dx->data.ptr, d_step, stripe_size ));
346                 IPPI_CALL( ipp_scharr_horiz( shifted_ptr, temp_step,
347                         Dy->data.ptr, d_step, stripe_size ));
348             }
349         }
350 
351         for( i = 0; i < stripe_size.height; i++ )
352         {
353             float* cov_data = (float*)(cov->data.ptr + i*cov->step);
354             if( d_depth == CV_16S )
355             {
356                 const short* dxdata = (const short*)(Dx->data.ptr + i*Dx->step);
357                 const short* dydata = (const short*)(Dy->data.ptr + i*Dy->step);
358 
359                 for( j = 0; j < size.width; j++ )
360                 {
361                     double dx = dxdata[j]*factorx;
362                     double dy = dydata[j]*factory;
363 
364                     cov_data[j*3] = (float)(dx*dx);
365                     cov_data[j*3+1] = (float)(dx*dy);
366                     cov_data[j*3+2] = (float)(dy*dy);
367                 }
368             }
369             else
370             {
371                 const float* dxdata = (const float*)(Dx->data.ptr + i*Dx->step);
372                 const float* dydata = (const float*)(Dy->data.ptr + i*Dy->step);
373 
374                 for( j = 0; j < size.width; j++ )
375                 {
376                     double dx = dxdata[j]*factorx;
377                     double dy = dydata[j]*factory;
378 
379                     cov_data[j*3] = (float)(dx*dx);
380                     cov_data[j*3+1] = (float)(dx*dy);
381                     cov_data[j*3+2] = (float)(dy*dy);
382                 }
383             }
384         }
385 
386         if( y + stripe_size.height >= size.height )
387             stage = stage & CV_START ? CV_START + CV_END : CV_END;
388 
389         stripe_size.height = blur_filter.process(cov,cov,
390             cvRect(0,0,-1,stripe_size.height),cvPoint(0,0),stage+CV_ISOLATED_ROI);
391 
392         if( op_type == ICV_MINEIGENVAL )
393             icvCalcMinEigenVal( cov->data.fl, cov->step,
394                 (float*)(eigenv->data.ptr + dst_y*eigenv->step), eigenv->step,
395                 stripe_size, sqrt_buf );
396         else if( op_type == ICV_HARRIS )
397             icvCalcHarris( cov->data.fl, cov->step,
398                 (float*)(eigenv->data.ptr + dst_y*eigenv->step), eigenv->step,
399                 stripe_size, sqrt_buf, k );
400         else if( op_type == ICV_EIGENVALSVECS )
401             icvCalcEigenValsVecs( cov->data.fl, cov->step,
402                 (float*)(eigenv->data.ptr + dst_y*eigenv->step), eigenv->step,
403                 stripe_size, sqrt_buf );
404 
405         dst_y += stripe_size.height;
406         stage = CV_MIDDLE;
407     }
408 
409     __END__;
410 
411     cvReleaseMat( &Dx );
412     cvReleaseMat( &Dy );
413     cvReleaseMat( &cov );
414     cvReleaseMat( &sqrt_buf );
415     cvReleaseMat( &tempsrc );
416 }
417 
418 
419 CV_IMPL void
cvCornerMinEigenVal(const void * srcarr,void * eigenvarr,int block_size,int aperture_size)420 cvCornerMinEigenVal( const void* srcarr, void* eigenvarr,
421                      int block_size, int aperture_size )
422 {
423     CV_FUNCNAME( "cvCornerMinEigenVal" );
424 
425     __BEGIN__;
426 
427     CvMat stub, *src = (CvMat*)srcarr;
428     CvMat eigstub, *eigenv = (CvMat*)eigenvarr;
429 
430     CV_CALL( src = cvGetMat( srcarr, &stub ));
431     CV_CALL( eigenv = cvGetMat( eigenv, &eigstub ));
432 
433     if( (CV_MAT_TYPE(src->type) != CV_8UC1 && CV_MAT_TYPE(src->type) != CV_32FC1) ||
434         CV_MAT_TYPE(eigenv->type) != CV_32FC1 )
435         CV_ERROR( CV_StsUnsupportedFormat, "Input must be 8uC1 or 32fC1, output must be 32fC1" );
436 
437     if( !CV_ARE_SIZES_EQ( src, eigenv ))
438         CV_ERROR( CV_StsUnmatchedSizes, "" );
439 
440     CV_CALL( icvCornerEigenValsVecs( src, eigenv, block_size, aperture_size, ICV_MINEIGENVAL ));
441 
442     __END__;
443 }
444 
445 
446 CV_IMPL void
cvCornerHarris(const CvArr * srcarr,CvArr * harris_responce,int block_size,int aperture_size,double k)447 cvCornerHarris( const CvArr* srcarr, CvArr* harris_responce,
448                 int block_size, int aperture_size, double k )
449 {
450     CV_FUNCNAME( "cvCornerHarris" );
451 
452     __BEGIN__;
453 
454     CvMat stub, *src = (CvMat*)srcarr;
455     CvMat eigstub, *eigenv = (CvMat*)harris_responce;
456 
457     CV_CALL( src = cvGetMat( srcarr, &stub ));
458     CV_CALL( eigenv = cvGetMat( eigenv, &eigstub ));
459 
460     if( (CV_MAT_TYPE(src->type) != CV_8UC1 && CV_MAT_TYPE(src->type) != CV_32FC1) ||
461         CV_MAT_TYPE(eigenv->type) != CV_32FC1 )
462         CV_ERROR( CV_StsUnsupportedFormat, "Input must be 8uC1 or 32fC1, output must be 32fC1" );
463 
464     if( !CV_ARE_SIZES_EQ( src, eigenv ))
465         CV_ERROR( CV_StsUnmatchedSizes, "" );
466 
467     CV_CALL( icvCornerEigenValsVecs( src, eigenv, block_size, aperture_size, ICV_HARRIS, k ));
468 
469     __END__;
470 }
471 
472 
473 CV_IMPL void
cvCornerEigenValsAndVecs(const void * srcarr,void * eigenvarr,int block_size,int aperture_size)474 cvCornerEigenValsAndVecs( const void* srcarr, void* eigenvarr,
475                           int block_size, int aperture_size )
476 {
477     CV_FUNCNAME( "cvCornerEigenValsAndVecs" );
478 
479     __BEGIN__;
480 
481     CvMat stub, *src = (CvMat*)srcarr;
482     CvMat eigstub, *eigenv = (CvMat*)eigenvarr;
483 
484     CV_CALL( src = cvGetMat( srcarr, &stub ));
485     CV_CALL( eigenv = cvGetMat( eigenv, &eigstub ));
486 
487     if( CV_MAT_CN(eigenv->type)*eigenv->cols != src->cols*6 ||
488         eigenv->rows != src->rows )
489         CV_ERROR( CV_StsUnmatchedSizes, "Output array should be 6 times "
490             "wider than the input array and they should have the same height");
491 
492     if( (CV_MAT_TYPE(src->type) != CV_8UC1 && CV_MAT_TYPE(src->type) != CV_32FC1) ||
493         CV_MAT_TYPE(eigenv->type) != CV_32FC1 )
494         CV_ERROR( CV_StsUnsupportedFormat, "Input must be 8uC1 or 32fC1, output must be 32fC1" );
495 
496     CV_CALL( icvCornerEigenValsVecs( src, eigenv, block_size, aperture_size, ICV_EIGENVALSVECS ));
497 
498     __END__;
499 }
500 
501 
502 CV_IMPL void
cvPreCornerDetect(const void * srcarr,void * dstarr,int aperture_size)503 cvPreCornerDetect( const void* srcarr, void* dstarr, int aperture_size )
504 {
505     CvSepFilter dx_filter, dy_filter, d2x_filter, d2y_filter, dxy_filter;
506     CvMat *Dx = 0, *Dy = 0, *D2x = 0, *D2y = 0, *Dxy = 0;
507     CvMat *tempsrc = 0;
508 
509     int buf_size = 1 << 12;
510 
511     CV_FUNCNAME( "cvPreCornerDetect" );
512 
513     __BEGIN__;
514 
515     int i, j, y, dst_y = 0, max_dy, delta = 0;
516     int temp_step = 0, d_step;
517     uchar* shifted_ptr = 0;
518     int depth, d_depth;
519     int stage = CV_START;
520     CvSobelFixedIPPFunc ipp_sobel_vert = 0, ipp_sobel_horiz = 0,
521                         ipp_sobel_vert_second = 0, ipp_sobel_horiz_second = 0,
522                         ipp_sobel_cross = 0;
523     CvSize el_size, size, stripe_size;
524     int aligned_width;
525     CvPoint el_anchor;
526     double factor;
527     CvMat stub, *src = (CvMat*)srcarr;
528     CvMat dststub, *dst = (CvMat*)dstarr;
529     bool use_ipp = false;
530 
531     CV_CALL( src = cvGetMat( srcarr, &stub ));
532     CV_CALL( dst = cvGetMat( dst, &dststub ));
533 
534     if( (CV_MAT_TYPE(src->type) != CV_8UC1 && CV_MAT_TYPE(src->type) != CV_32FC1) ||
535         CV_MAT_TYPE(dst->type) != CV_32FC1 )
536         CV_ERROR( CV_StsUnsupportedFormat, "Input must be 8uC1 or 32fC1, output must be 32fC1" );
537 
538     if( !CV_ARE_SIZES_EQ( src, dst ))
539         CV_ERROR( CV_StsUnmatchedSizes, "" );
540 
541     if( aperture_size == CV_SCHARR )
542         CV_ERROR( CV_StsOutOfRange, "CV_SCHARR is not supported by this function" );
543 
544     if( aperture_size < 3 || aperture_size > 7 || !(aperture_size & 1) )
545         CV_ERROR( CV_StsOutOfRange,
546         "Derivative filter aperture size must be 3, 5 or 7" );
547 
548     depth = CV_MAT_DEPTH(src->type);
549     d_depth = depth == CV_8U ? CV_16S : CV_32F;
550 
551     size = cvGetMatSize(src);
552     aligned_width = cvAlign(size.width, 4);
553 
554     el_size = cvSize( aperture_size, aperture_size );
555     el_anchor = cvPoint( aperture_size/2, aperture_size/2 );
556 
557     if( aperture_size <= 5 && icvFilterSobelVert_8u16s_C1R_p )
558     {
559         if( depth == CV_8U )
560         {
561             ipp_sobel_vert = icvFilterSobelVert_8u16s_C1R_p;
562             ipp_sobel_horiz = icvFilterSobelHoriz_8u16s_C1R_p;
563             ipp_sobel_vert_second = icvFilterSobelVertSecond_8u16s_C1R_p;
564             ipp_sobel_horiz_second = icvFilterSobelHorizSecond_8u16s_C1R_p;
565             ipp_sobel_cross = icvFilterSobelCross_8u16s_C1R_p;
566         }
567         else if( depth == CV_32F )
568         {
569             ipp_sobel_vert = icvFilterSobelVert_32f_C1R_p;
570             ipp_sobel_horiz = icvFilterSobelHoriz_32f_C1R_p;
571             ipp_sobel_vert_second = icvFilterSobelVertSecond_32f_C1R_p;
572             ipp_sobel_horiz_second = icvFilterSobelHorizSecond_32f_C1R_p;
573             ipp_sobel_cross = icvFilterSobelCross_32f_C1R_p;
574         }
575     }
576 
577     if( ipp_sobel_vert && ipp_sobel_horiz && ipp_sobel_vert_second &&
578         ipp_sobel_horiz_second && ipp_sobel_cross )
579     {
580         CV_CALL( tempsrc = icvIPPFilterInit( src, buf_size, el_size ));
581         shifted_ptr = tempsrc->data.ptr + el_anchor.y*tempsrc->step +
582                       el_anchor.x*CV_ELEM_SIZE(depth);
583         temp_step = tempsrc->step ? tempsrc->step : CV_STUB_STEP;
584         max_dy = tempsrc->rows - aperture_size + 1;
585         use_ipp = true;
586     }
587     else
588     {
589         ipp_sobel_vert = ipp_sobel_horiz = 0;
590         ipp_sobel_vert_second = ipp_sobel_horiz_second = ipp_sobel_cross = 0;
591         dx_filter.init_deriv( size.width, depth, d_depth, 1, 0, aperture_size );
592         dy_filter.init_deriv( size.width, depth, d_depth, 0, 1, aperture_size );
593         d2x_filter.init_deriv( size.width, depth, d_depth, 2, 0, aperture_size );
594         d2y_filter.init_deriv( size.width, depth, d_depth, 0, 2, aperture_size );
595         dxy_filter.init_deriv( size.width, depth, d_depth, 1, 1, aperture_size );
596         max_dy = buf_size / src->cols;
597         max_dy = MAX( max_dy, aperture_size );
598     }
599 
600     CV_CALL( Dx = cvCreateMat( max_dy, aligned_width, d_depth ));
601     CV_CALL( Dy = cvCreateMat( max_dy, aligned_width, d_depth ));
602     CV_CALL( D2x = cvCreateMat( max_dy, aligned_width, d_depth ));
603     CV_CALL( D2y = cvCreateMat( max_dy, aligned_width, d_depth ));
604     CV_CALL( Dxy = cvCreateMat( max_dy, aligned_width, d_depth ));
605     Dx->cols = Dy->cols = D2x->cols = D2y->cols = Dxy->cols = size.width;
606 
607     if( !use_ipp )
608         max_dy -= aperture_size - 1;
609     d_step = Dx->step ? Dx->step : CV_STUB_STEP;
610 
611     stripe_size = size;
612 
613     factor = 1 << (aperture_size - 1);
614     if( depth == CV_8U )
615         factor *= 255;
616     factor = 1./(factor * factor * factor);
617 
618     aperture_size = aperture_size * 10 + aperture_size;
619 
620     for( y = 0; y < size.height; y += delta )
621     {
622         if( !use_ipp )
623         {
624             delta = MIN( size.height - y, max_dy );
625             CvRect roi = cvRect(0,y,size.width,delta);
626             CvPoint origin=cvPoint(0,0);
627 
628             if( y + delta == size.height )
629                 stage = stage & CV_START ? CV_START + CV_END : CV_END;
630 
631             dx_filter.process(src,Dx,roi,origin,stage);
632             dy_filter.process(src,Dy,roi,origin,stage);
633             d2x_filter.process(src,D2x,roi,origin,stage);
634             d2y_filter.process(src,D2y,roi,origin,stage);
635             stripe_size.height = dxy_filter.process(src,Dxy,roi,origin,stage);
636         }
637         else
638         {
639             delta = icvIPPFilterNextStripe( src, tempsrc, y, el_size, el_anchor );
640             stripe_size.height = delta;
641 
642             IPPI_CALL( ipp_sobel_vert( shifted_ptr, temp_step,
643                 Dx->data.ptr, d_step, stripe_size, aperture_size ));
644             IPPI_CALL( ipp_sobel_horiz( shifted_ptr, temp_step,
645                 Dy->data.ptr, d_step, stripe_size, aperture_size ));
646             IPPI_CALL( ipp_sobel_vert_second( shifted_ptr, temp_step,
647                 D2x->data.ptr, d_step, stripe_size, aperture_size ));
648             IPPI_CALL( ipp_sobel_horiz_second( shifted_ptr, temp_step,
649                 D2y->data.ptr, d_step, stripe_size, aperture_size ));
650             IPPI_CALL( ipp_sobel_cross( shifted_ptr, temp_step,
651                 Dxy->data.ptr, d_step, stripe_size, aperture_size ));
652         }
653 
654         for( i = 0; i < stripe_size.height; i++, dst_y++ )
655         {
656             float* dstdata = (float*)(dst->data.ptr + dst_y*dst->step);
657 
658             if( d_depth == CV_16S )
659             {
660                 const short* dxdata = (const short*)(Dx->data.ptr + i*Dx->step);
661                 const short* dydata = (const short*)(Dy->data.ptr + i*Dy->step);
662                 const short* d2xdata = (const short*)(D2x->data.ptr + i*D2x->step);
663                 const short* d2ydata = (const short*)(D2y->data.ptr + i*D2y->step);
664                 const short* dxydata = (const short*)(Dxy->data.ptr + i*Dxy->step);
665 
666                 for( j = 0; j < stripe_size.width; j++ )
667                 {
668                     double dx = dxdata[j];
669                     double dx2 = dx * dx;
670                     double dy = dydata[j];
671                     double dy2 = dy * dy;
672 
673                     dstdata[j] = (float)(factor*(dx2*d2ydata[j] + dy2*d2xdata[j] - 2*dx*dy*dxydata[j]));
674                 }
675             }
676             else
677             {
678                 const float* dxdata = (const float*)(Dx->data.ptr + i*Dx->step);
679                 const float* dydata = (const float*)(Dy->data.ptr + i*Dy->step);
680                 const float* d2xdata = (const float*)(D2x->data.ptr + i*D2x->step);
681                 const float* d2ydata = (const float*)(D2y->data.ptr + i*D2y->step);
682                 const float* dxydata = (const float*)(Dxy->data.ptr + i*Dxy->step);
683 
684                 for( j = 0; j < stripe_size.width; j++ )
685                 {
686                     double dx = dxdata[j];
687                     double dy = dydata[j];
688                     dstdata[j] = (float)(factor*(dx*dx*d2ydata[j] + dy*dy*d2xdata[j] - 2*dx*dy*dxydata[j]));
689                 }
690             }
691         }
692 
693         stage = CV_MIDDLE;
694     }
695 
696     __END__;
697 
698     cvReleaseMat( &Dx );
699     cvReleaseMat( &Dy );
700     cvReleaseMat( &D2x );
701     cvReleaseMat( &D2y );
702     cvReleaseMat( &Dxy );
703     cvReleaseMat( &tempsrc );
704 }
705 
706 /* End of file */
707