cvapprox.cpp.svn-base
来自「非结构化路识别」· SVN-BASE 代码 · 共 897 行 · 第 1/2 页
SVN-BASE
897 行
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "_cv.h"
#include <limits.h>
#include "_cvdatastructs.h"
/****************************************************************************************\
* Chain Approximation *
\****************************************************************************************/
typedef struct _CvPtInfo
{
CvPoint pt;
int k; /* support region */
int s; /* curvature value */
struct _CvPtInfo *next;
}
_CvPtInfo;
/* curvature: 0 - 1-curvature, 1 - k-cosine curvature. */
CvStatus
icvApproximateChainTC89( CvChain* chain,
int header_size,
CvMemStorage* storage,
CvSeq** contour,
CvChainApproxMethod method )
{
static const int abs_diff[] = { 1, 2, 3, 4, 3, 2, 1, 0, 1, 2, 3, 4, 3, 2, 1 };
char local_buffer[1 << 16];
char* buffer = local_buffer;
int buffer_size;
_CvPtInfo temp;
_CvPtInfo *array, *first = 0, *current = 0, *prev_current = 0;
int i, j, i1, i2, s, len;
int count;
CvChainPtReader reader;
CvSeqWriter writer;
CvPoint pt = chain->origin;
assert( chain && contour && buffer );
buffer_size = (chain->total + 8) * sizeof( _CvPtInfo );
*contour = 0;
if( !CV_IS_SEQ_CHAIN_CONTOUR( chain ))
return CV_BADFLAG_ERR;
if( header_size < (int)sizeof(CvContour) )
return CV_BADSIZE_ERR;
cvStartWriteSeq( (chain->flags & ~CV_SEQ_ELTYPE_MASK) | CV_SEQ_ELTYPE_POINT,
header_size, sizeof( CvPoint ), storage, &writer );
if( chain->total == 0 )
{
CV_WRITE_SEQ_ELEM( pt, writer );
goto exit_function;
}
cvStartReadChainPoints( chain, &reader );
if( method > CV_CHAIN_APPROX_SIMPLE && buffer_size > (int)sizeof(local_buffer))
{
buffer = (char *) icvAlloc( buffer_size );
if( !buffer )
return CV_OUTOFMEM_ERR;
}
array = (_CvPtInfo *) buffer;
count = chain->total;
temp.next = 0;
current = &temp;
/* Pass 0.
Restores all the digital curve points from the chain code.
Removes the points (from the resultant polygon)
that have zero 1-curvature */
for( i = 0; i < count; i++ )
{
int s, prev_code = *reader.prev_elem;
reader.prev_elem = reader.ptr;
CV_READ_CHAIN_POINT( pt, reader );
/* calc 1-curvature */
s = abs_diff[reader.code - prev_code + 7];
if( method <= CV_CHAIN_APPROX_SIMPLE )
{
if( method == CV_CHAIN_APPROX_NONE || s != 0 )
{
CV_WRITE_SEQ_ELEM( pt, writer );
}
}
else
{
if( s != 0 )
current = current->next = array + i;
array[i].s = s;
array[i].pt = pt;
}
}
//assert( pt.x == chain->origin.x && pt.y == chain->origin.y );
if( method <= CV_CHAIN_APPROX_SIMPLE )
goto exit_function;
current->next = 0;
len = i;
current = temp.next;
assert( current );
/* Pass 1.
Determines support region for all the remained points */
do
{
CvPoint pt0;
int k, l = 0, d_num = 0;
i = current - array;
pt0 = array[i].pt;
/* determine support region */
for( k = 1;; k++ )
{
int lk, dk_num;
int dx, dy;
int di;
float d;
assert( k <= len );
/* calc indices */
i1 = i - k;
i1 += i1 < 0 ? len : 0;
i2 = i + k;
i2 -= i2 >= len ? len : 0;
dx = array[i2].pt.x - array[i1].pt.x;
dy = array[i2].pt.y - array[i1].pt.y;
/* distance between p_(i - k) and p_(i + k) */
lk = dx * dx + dy * dy;
/* distance between p_i and the line (p_(i-k), p_(i+k)) */
dk_num = (pt0.x - array[i1].pt.x) * dy - (pt0.y - array[i1].pt.y) * dx;
d = (float) (((double) d_num) * lk - ((double) dk_num) * l);
di = *(int *) &d;
if( k > 1 && (l >= lk || (d_num > 0 && di <= 0 || d_num < 0 && di >= 0)))
break;
d_num = dk_num;
l = lk;
}
current->k = --k;
/* determine cosine curvature if it should be used */
if( method == CV_CHAIN_APPROX_TC89_KCOS )
{
/* calc k-cosine curvature */
for( j = k, s = 0; j > 0; j-- )
{
double temp_num;
float temp;
int sk;
int dx1, dy1, dx2, dy2;
i1 = i - j;
i1 += i1 < 0 ? len : 0;
i2 = i + j;
i2 -= i2 >= len ? len : 0;
dx1 = array[i1].pt.x - pt0.x;
dy1 = array[i1].pt.y - pt0.y;
dx2 = array[i2].pt.x - pt0.x;
dy2 = array[i2].pt.y - pt0.y;
if( (dx1 | dy1) == 0 || (dx2 | dy2) == 0 )
break;
temp_num = dx1 * dx2 + dy1 * dy2;
temp_num =
(float) (temp_num /
sqrt( ((double)dx1 * dx1 + (double)dy1 * dy1) *
((double)dx2 * dx2 + (double)dy2 * dy2) ));
temp = (float) (temp_num + 1.1);
sk = *((int *) &temp);
assert( 0 <= temp && temp <= 2.2 );
if( j < k && sk <= s )
break;
s = sk;
}
current->s = s;
}
current = current->next;
}
while( current != 0 );
prev_current = &temp;
current = temp.next;
/* Pass 2.
Performs non-maxima supression */
do
{
int k2 = current->k >> 1;
s = current->s;
i = current - array;
for( j = 1; j <= k2; j++ )
{
i2 = i - j;
i2 += i2 < 0 ? len : 0;
if( array[i2].s > s )
break;
i2 = i + j;
i2 -= i2 >= len ? len : 0;
if( array[i2].s > s )
break;
}
if( j <= k2 ) /* exclude point */
{
prev_current->next = current->next;
current->s = 0; /* "clear" point */
}
else
prev_current = current;
current = current->next;
}
while( current != 0 );
/* Pass 3.
Removes non-dominant points with 1-length support region */
current = temp.next;
assert( current );
prev_current = &temp;
do
{
if( current->k == 1 )
{
s = current->s;
i = current - array;
i1 = i - 1;
i1 += i1 < 0 ? len : 0;
i2 = i + 1;
i2 -= i2 >= len ? len : 0;
if( s <= array[i1].s || s <= array[i2].s )
{
prev_current->next = current->next;
current->s = 0;
}
else
prev_current = current;
}
else
prev_current = current;
current = current->next;
}
while( current != 0 );
if( method == CV_CHAIN_APPROX_TC89_KCOS )
goto copy_vect;
/* Pass 4.
Cleans remained couples of points */
assert( temp.next );
if( array[0].s != 0 && array[len - 1].s != 0 ) /* specific case */
{
for( i1 = 1; i1 < len && array[i1].s != 0; i1++ )
{
array[i1 - 1].s = 0;
}
if( i1 == len )
goto copy_vect; /* all points survived */
i1--;
for( i2 = len - 2; i2 > 0 && array[i2].s != 0; i2-- )
{
array[i2].next = 0;
array[i2 + 1].s = 0;
}
i2++;
if( i1 == 0 && i2 == len - 1 ) /* only two points */
{
i1 = array[0].next - array;
array[len] = array[0]; /* move to the end */
array[len].next = 0;
array[len - 1].next = array + len;
}
temp.next = array + i1;
}
current = temp.next;
first = prev_current = &temp;
count = 1;
/* do last pass */
do
{
if( current->next == 0 || current->next - current != 1 )
{
if( count >= 2 )
{
if( count == 2 )
{
int s1 = prev_current->s;
int s2 = current->s;
if( s1 > s2 || s1 == s2 && prev_current->k <= current->k )
/* remove second */
prev_current->next = current->next;
else
/* remove first */
first->next = current;
}
else
first->next->next = current;
}
first = current;
count = 1;
}
else
count++;
prev_current = current;
current = current->next;
}
while( current != 0 );
copy_vect:
/* gather points */
current = temp.next;
assert( current );
do
{
CvPoint pt = current->pt;
CV_WRITE_SEQ_ELEM( pt, writer );
current = current->next;
}
while( current != 0 );
exit_function:
*contour = cvEndWriteSeq( &writer );
assert( writer.seq->total > 0 );
if( buffer != local_buffer )
icvFree( &buffer );
return CV_OK;
}
/*Applies some approximation algorithm to chain-coded contour(s) and
converts it/them to polygonal representation */
CV_IMPL CvSeq*
cvApproxChains( CvSeq* src_seq,
CvMemStorage* storage,
CvChainApproxMethod method,
double /*parameter*/,
int minimal_perimeter,
int recursive )
{
CvSeq *prev_contour = 0, *parent = 0;
CvSeq *dst_seq = 0;
CV_FUNCNAME( "cvApproxChains" );
__BEGIN__;
if( !src_seq || !storage )
CV_ERROR_FROM_STATUS( CV_NULLPTR_ERR );
if( method > CV_CHAIN_APPROX_TC89_KCOS || method <= 0 || minimal_perimeter < 0 )
CV_ERROR_FROM_STATUS( CV_BADRANGE_ERR );
while( src_seq != 0 )
{
int len = src_seq->total;
if( len >= minimal_perimeter )
{
CvSeq *contour;
switch( method )
{
⌨️ 快捷键说明
复制代码Ctrl + C
搜索代码Ctrl + F
全屏模式F11
增大字号Ctrl + =
减小字号Ctrl + -
显示快捷键?