• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
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 #include "_cv.h"
42 
43 /*F///////////////////////////////////////////////////////////////////////////////////////
44 //    Name: cvMatchContours
45 //    Purpose:
46 //      Calculates matching of the two contours
47 //    Context:
48 //    Parameters:
49 //      contour_1 - pointer to the first input contour object.
50 //      contour_2 - pointer to the second input contour object.
51 //      method - method for the matching calculation
52 //      (now CV_IPPI_CONTOURS_MATCH_I1, CV_CONTOURS_MATCH_I2 or
53 //      CV_CONTOURS_MATCH_I3 only  )
54 //      rezult - output calculated measure
55 //
56 //F*/
57 CV_IMPL  double
cvMatchShapes(const void * contour1,const void * contour2,int method,double)58 cvMatchShapes( const void* contour1, const void* contour2,
59                int method, double /*parameter*/ )
60 {
61     CvMoments moments;
62     CvHuMoments huMoments;
63     double ma[7], mb[7];
64     int i, sma, smb;
65     double eps = 1.e-5;
66     double mmm;
67     double result = 0;
68 
69     CV_FUNCNAME( "cvMatchShapes" );
70 
71     __BEGIN__;
72 
73     if( !contour1 || !contour2 )
74         CV_ERROR( CV_StsNullPtr, "" );
75 
76 /*   first moments calculation */
77     CV_CALL( cvMoments( contour1, &moments ));
78 
79 /*  Hu moments calculation   */
80     CV_CALL( cvGetHuMoments( &moments, &huMoments ));
81 
82     ma[0] = huMoments.hu1;
83     ma[1] = huMoments.hu2;
84     ma[2] = huMoments.hu3;
85     ma[3] = huMoments.hu4;
86     ma[4] = huMoments.hu5;
87     ma[5] = huMoments.hu6;
88     ma[6] = huMoments.hu7;
89 
90 
91 /*   second moments calculation  */
92     CV_CALL( cvMoments( contour2, &moments ));
93 
94 /*  Hu moments calculation   */
95     CV_CALL( cvGetHuMoments( &moments, &huMoments ));
96 
97     mb[0] = huMoments.hu1;
98     mb[1] = huMoments.hu2;
99     mb[2] = huMoments.hu3;
100     mb[3] = huMoments.hu4;
101     mb[4] = huMoments.hu5;
102     mb[5] = huMoments.hu6;
103     mb[6] = huMoments.hu7;
104 
105     switch (method)
106     {
107     case 1:
108         {
109             for( i = 0; i < 7; i++ )
110             {
111                 double ama = fabs( ma[i] );
112                 double amb = fabs( mb[i] );
113 
114                 if( ma[i] > 0 )
115                     sma = 1;
116                 else if( ma[i] < 0 )
117                     sma = -1;
118                 else
119                     sma = 0;
120                 if( mb[i] > 0 )
121                     smb = 1;
122                 else if( mb[i] < 0 )
123                     smb = -1;
124                 else
125                     smb = 0;
126 
127                 if( ama > eps && amb > eps )
128                 {
129                     ama = 1. / (sma * log10( ama ));
130                     amb = 1. / (smb * log10( amb ));
131                     result += fabs( -ama + amb );
132                 }
133             }
134             break;
135         }
136 
137     case 2:
138         {
139             for( i = 0; i < 7; i++ )
140             {
141                 double ama = fabs( ma[i] );
142                 double amb = fabs( mb[i] );
143 
144                 if( ma[i] > 0 )
145                     sma = 1;
146                 else if( ma[i] < 0 )
147                     sma = -1;
148                 else
149                     sma = 0;
150                 if( mb[i] > 0 )
151                     smb = 1;
152                 else if( mb[i] < 0 )
153                     smb = -1;
154                 else
155                     smb = 0;
156 
157                 if( ama > eps && amb > eps )
158                 {
159                     ama = sma * log10( ama );
160                     amb = smb * log10( amb );
161                     result += fabs( -ama + amb );
162                 }
163             }
164             break;
165         }
166 
167     case 3:
168         {
169             for( i = 0; i < 7; i++ )
170             {
171                 double ama = fabs( ma[i] );
172                 double amb = fabs( mb[i] );
173 
174                 if( ma[i] > 0 )
175                     sma = 1;
176                 else if( ma[i] < 0 )
177                     sma = -1;
178                 else
179                     sma = 0;
180                 if( mb[i] > 0 )
181                     smb = 1;
182                 else if( mb[i] < 0 )
183                     smb = -1;
184                 else
185                     smb = 0;
186 
187                 if( ama > eps && amb > eps )
188                 {
189                     ama = sma * log10( ama );
190                     amb = smb * log10( amb );
191                     mmm = fabs( (ama - amb) / ama );
192                     if( result < mmm )
193                         result = mmm;
194                 }
195             }
196             break;
197         }
198     default:
199         CV_ERROR_FROM_STATUS( CV_BADCOEF_ERR );
200     }
201 
202     __END__;
203 
204     return result;
205 }
206 
207 
208 
209 /*F///////////////////////////////////////////////////////////////////////////////////////
210 //    Name: icvMatchContourTrees
211 //    Purpose:
212 //      Calculates matching of the two contour trees
213 //    Context:
214 //    Parameters:
215 //      tree1 - pointer to the first input contour tree object.
216 //      tree2 - pointer to the second input contour tree object.
217 //      method - method for the matching calculation
218 //      (now CV_CONTOUR_TREES_MATCH_I1 only  )
219 //      threshold - threshold for the contour trees matching
220 //      result - output calculated measure
221 //F*/
222 CV_IMPL  double
cvMatchContourTrees(const CvContourTree * tree1,const CvContourTree * tree2,int method,double threshold)223 cvMatchContourTrees( const CvContourTree* tree1, const CvContourTree* tree2,
224                      int method, double threshold )
225 {
226     _CvTrianAttr **ptr_p1 = 0, **ptr_p2 = 0;    /*pointers to the pointer's buffer */
227     _CvTrianAttr **ptr_n1 = 0, **ptr_n2 = 0;    /*pointers to the pointer's buffer */
228     _CvTrianAttr **ptr11, **ptr12, **ptr21, **ptr22;
229 
230     int lpt1, lpt2, lpt, flag, flag_n, i, j, ibuf, ibuf1;
231     double match_v, d12, area1, area2, r11, r12, r21, r22, w1, w2;
232     double eps = 1.e-5;
233     char s1, s2;
234     _CvTrianAttr tree_1, tree_2;        /*current vertex 1 and 2 tree */
235     CvSeqReader reader1, reader2;
236     double result = 0;
237 
238     CV_FUNCNAME("cvMatchContourTrees");
239     __BEGIN__;
240 
241     if( !tree1 || !tree2 )
242         CV_ERROR( CV_StsNullPtr, "" );
243 
244     if( method != CV_CONTOUR_TREES_MATCH_I1 )
245         CV_ERROR( CV_StsBadArg, "Unknown/unsupported comparison method" );
246 
247     if( !CV_IS_SEQ_POLYGON_TREE( tree1 ))
248         CV_ERROR( CV_StsBadArg, "The first argument is not a valid contour tree" );
249 
250     if( !CV_IS_SEQ_POLYGON_TREE( tree2 ))
251         CV_ERROR( CV_StsBadArg, "The second argument is not a valid contour tree" );
252 
253     lpt1 = tree1->total;
254     lpt2 = tree2->total;
255     lpt = lpt1 > lpt2 ? lpt1 : lpt2;
256 
257     ptr_p1 = ptr_n1 = ptr_p2 = ptr_n2 = NULL;
258     CV_CALL( ptr_p1 = (_CvTrianAttr **) cvAlloc( lpt * sizeof( _CvTrianAttr * )));
259     CV_CALL( ptr_p2 = (_CvTrianAttr **) cvAlloc( lpt * sizeof( _CvTrianAttr * )));
260 
261     CV_CALL( ptr_n1 = (_CvTrianAttr **) cvAlloc( lpt * sizeof( _CvTrianAttr * )));
262     CV_CALL( ptr_n2 = (_CvTrianAttr **) cvAlloc( lpt * sizeof( _CvTrianAttr * )));
263 
264     cvStartReadSeq( (CvSeq *) tree1, &reader1, 0 );
265     cvStartReadSeq( (CvSeq *) tree2, &reader2, 0 );
266 
267 /*read the root of the first and second tree*/
268     CV_READ_SEQ_ELEM( tree_1, reader1 );
269     CV_READ_SEQ_ELEM( tree_2, reader2 );
270 
271 /*write to buffer pointers to root's childs vertexs*/
272     ptr_p1[0] = tree_1.next_v1;
273     ptr_p1[1] = tree_1.next_v2;
274     ptr_p2[0] = tree_2.next_v1;
275     ptr_p2[1] = tree_2.next_v2;
276     i = 2;
277     match_v = 0.;
278     area1 = tree_1.area;
279     area2 = tree_2.area;
280 
281     if( area1 < eps || area2 < eps || lpt < 4 )
282         CV_ERROR( CV_StsBadSize, "" );
283 
284     r11 = r12 = r21 = r22 = w1 = w2 = d12 = 0;
285     flag = 0;
286     s1 = s2 = 0;
287     do
288     {
289         if( flag == 0 )
290         {
291             ptr11 = ptr_p1;
292             ptr12 = ptr_n1;
293             ptr21 = ptr_p2;
294             ptr22 = ptr_n2;
295             flag = 1;
296         }
297         else
298         {
299             ptr11 = ptr_n1;
300             ptr12 = ptr_p1;
301             ptr21 = ptr_n2;
302             ptr22 = ptr_p2;
303             flag = 0;
304         }
305         ibuf = 0;
306         for( j = 0; j < i; j++ )
307         {
308             flag_n = 0;
309             if( ptr11[j] != NULL )
310             {
311                 r11 = ptr11[j]->r1;
312                 r12 = ptr11[j]->r2;
313                 flag_n = 1;
314                 w1 = ptr11[j]->area / area1;
315                 s1 = ptr11[j]->sign;
316             }
317             else
318             {
319                 r11 = r21 = 0;
320             }
321             if( ptr21[j] != NULL )
322             {
323                 r21 = ptr21[j]->r1;
324                 r22 = ptr21[j]->r2;
325                 flag_n = 1;
326                 w2 = ptr21[j]->area / area2;
327                 s2 = ptr21[j]->sign;
328             }
329             else
330             {
331                 r21 = r22 = 0;
332             }
333             if( flag_n != 0 )
334 /* calculate node distance */
335             {
336                 switch (method)
337                 {
338                 case 1:
339                     {
340                         double t0, t1;
341                         if( s1 != s2 )
342                         {
343                             t0 = fabs( r11 * w1 + r21 * w2 );
344                             t1 = fabs( r12 * w1 + r22 * w2 );
345                         }
346                         else
347                         {
348                             t0 = fabs( r11 * w1 - r21 * w2 );
349                             t1 = fabs( r12 * w1 - r22 * w2 );
350                         }
351                         d12 = t0 + t1;
352                         break;
353                     }
354                 }
355                 match_v += d12;
356                 ibuf1 = ibuf + 1;
357 /*write to buffer the pointer to child vertexes*/
358                 if( ptr11[j] != NULL )
359                 {
360                     ptr12[ibuf] = ptr11[j]->next_v1;
361                     ptr12[ibuf1] = ptr11[j]->next_v2;
362                 }
363                 else
364                 {
365                     ptr12[ibuf] = NULL;
366                     ptr12[ibuf1] = NULL;
367                 }
368                 if( ptr21[j] != NULL )
369                 {
370                     ptr22[ibuf] = ptr21[j]->next_v1;
371                     ptr22[ibuf1] = ptr21[j]->next_v2;
372                 }
373                 else
374                 {
375                     ptr22[ibuf] = NULL;
376                     ptr22[ibuf1] = NULL;
377                 }
378                 ibuf += 2;
379             }
380         }
381         i = ibuf;
382     }
383     while( i > 0 && match_v < threshold );
384 
385     result = match_v;
386 
387     __END__;
388 
389     cvFree( &ptr_n2 );
390     cvFree( &ptr_n1 );
391     cvFree( &ptr_p2 );
392     cvFree( &ptr_p1 );
393 
394     return result;
395 }
396 
397 
398 /* End of file. */
399