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📄 cvsegmentation.cpp

📁 opencv库在TI DM6437上的移植,目前包括两个库cv.lib和cxcore.lib的工程
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
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//  If you do not agree to this license, do not download, install,
//  copy or use the software.
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//
//                        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,
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//M*/

#include "_cv.h"

/****************************************************************************************\
*                                       Watershed                                        *
\****************************************************************************************/

typedef struct CvWSNode
{
    struct CvWSNode* next;
    int mask_ofs;
    int img_ofs;
}
CvWSNode;

typedef struct CvWSQueue
{
    CvWSNode* first;
    CvWSNode* last;
}
CvWSQueue;

static CvWSNode*
icvAllocWSNodes( CvMemStorage* storage )
{
    CvWSNode* n = 0;
    
    CV_FUNCNAME( "icvAllocWSNodes" );

    __BEGIN__;

    int i, count = (storage->block_size - sizeof(CvMemBlock))/sizeof(*n) - 1;

    CV_CALL( n = (CvWSNode*)cvMemStorageAlloc( storage, count*sizeof(*n) ));
    for( i = 0; i < count-1; i++ )
        n[i].next = n + i + 1;
    n[count-1].next = 0;

    __END__;

    return n;
}


CV_IMPL void
cvWatershed( const CvArr* srcarr, CvArr* dstarr )
{
    const int IN_QUEUE = -2;
    const int WSHED = -1;
    const int NQ = 256;
    CvMemStorage* storage = 0;
    
    CV_FUNCNAME( "cvWatershed" );

    __BEGIN__;

    CvMat sstub, *src;
    CvMat dstub, *dst;
    CvSize size;
    CvWSNode* free_node = 0, *node;
    CvWSQueue q[NQ];
    int active_queue;
    int i, j;
    int db, dg, dr;
    int* mask;
    uchar* img;
    int mstep, istep;
    int subs_tab[513];

    // MAX(a,b) = b + MAX(a-b,0)
    #define ws_max(a,b) ((b) + subs_tab[(a)-(b)+NQ])
    // MIN(a,b) = a - MAX(a-b,0)
    #define ws_min(a,b) ((a) - subs_tab[(a)-(b)+NQ])

    #define ws_push(idx,mofs,iofs)  \
    {                               \
        if( !free_node )            \
            CV_CALL( free_node = icvAllocWSNodes( storage ));\
        node = free_node;           \
        free_node = free_node->next;\
        node->next = 0;             \
        node->mask_ofs = mofs;      \
        node->img_ofs = iofs;       \
        if( q[idx].last )           \
            q[idx].last->next=node; \
        else                        \
            q[idx].first = node;    \
        q[idx].last = node;         \
    }

    #define ws_pop(idx,mofs,iofs)   \
    {                               \
        node = q[idx].first;        \
        q[idx].first = node->next;  \
        if( !node->next )           \
            q[idx].last = 0;        \
        node->next = free_node;     \
        free_node = node;           \
        mofs = node->mask_ofs;      \
        iofs = node->img_ofs;       \
    }

    #define c_diff(ptr1,ptr2,diff)      \
    {                                   \
        db = abs((ptr1)[0] - (ptr2)[0]);\
        dg = abs((ptr1)[1] - (ptr2)[1]);\
        dr = abs((ptr1)[2] - (ptr2)[2]);\
        diff = ws_max(db,dg);           \
        diff = ws_max(diff,dr);         \
        assert( 0 <= diff && diff <= 255 ); \
    }

    CV_CALL( src = cvGetMat( srcarr, &sstub ));
    CV_CALL( dst = cvGetMat( dstarr, &dstub ));

    if( CV_MAT_TYPE(src->type) != CV_8UC3 )
        CV_ERROR( CV_StsUnsupportedFormat, "Only 8-bit, 3-channel input images are supported" );

    if( CV_MAT_TYPE(dst->type) != CV_32SC1 )
        CV_ERROR( CV_StsUnsupportedFormat,
            "Only 32-bit, 1-channel output images are supported" );
    
    if( !CV_ARE_SIZES_EQ( src, dst ))
        CV_ERROR( CV_StsUnmatchedSizes, "The input and output images must have the same size" );

    size = cvGetMatSize(src);

    CV_CALL( storage = cvCreateMemStorage() );

    istep = src->step;
    img = src->data.ptr;
    mstep = dst->step / sizeof(mask[0]);
    mask = dst->data.i;

    memset( q, 0, NQ*sizeof(q[0]) );

    for( i = 0; i < 256; i++ )
        subs_tab[i] = 0;
    for( i = 256; i <= 512; i++ )
        subs_tab[i] = i - 256;

    // draw a pixel-wide border of dummy "watershed" (i.e. boundary) pixels
    for( j = 0; j < size.width; j++ )
        mask[j] = mask[j + mstep*(size.height-1)] = WSHED;

    // initial phase: put all the neighbor pixels of each marker to the ordered queue -
    // determine the initial boundaries of the basins
    for( i = 1; i < size.height-1; i++ )
    {
        img += istep; mask += mstep;
        mask[0] = mask[size.width-1] = WSHED;

        for( j = 1; j < size.width-1; j++ )
        {
            int* m = mask + j;
            if( m[0] < 0 ) m[0] = 0;
            if( m[0] == 0 && (m[-1] > 0 || m[1] > 0 || m[-mstep] > 0 || m[mstep] > 0) )
            {
                uchar* ptr = img + j*3;
                int idx = 256, t;
                if( m[-1] > 0 )
                    c_diff( ptr, ptr - 3, idx );
                if( m[1] > 0 )
                {
                    c_diff( ptr, ptr + 3, t );
                    idx = ws_min( idx, t );
                }
                if( m[-mstep] > 0 )
                {
                    c_diff( ptr, ptr - istep, t );
                    idx = ws_min( idx, t );
                }
                if( m[mstep] > 0 )
                {
                    c_diff( ptr, ptr + istep, t );
                    idx = ws_min( idx, t );
                }
                assert( 0 <= idx && idx <= 255 );
                ws_push( idx, i*mstep + j, i*istep + j*3 );
                m[0] = IN_QUEUE;
            }
        }
    }

    // find the first non-empty queue
    for( i = 0; i < NQ; i++ )
        if( q[i].first )
            break;

    // if there is no markers, exit immediately
    if( i == NQ )
        EXIT;

    active_queue = i;
    img = src->data.ptr;
    mask = dst->data.i;

    // recursively fill the basins
    for(;;)
    {
        int mofs, iofs;
        int lab = 0, t;
        int* m;
        uchar* ptr;
        
        if( q[active_queue].first == 0 )
        {
            for( i = active_queue+1; i < NQ; i++ )
                if( q[i].first )
                    break;
            if( i == NQ )
                break;
            active_queue = i;
        }
        
        ws_pop( active_queue, mofs, iofs );

        m = mask + mofs;
        ptr = img + iofs;
        t = m[-1];
        if( t > 0 ) lab = t;
        t = m[1];
        if( t > 0 )
            if( lab == 0 ) lab = t;
            else if( t != lab ) lab = WSHED;
        t = m[-mstep];
        if( t > 0 )
            if( lab == 0 ) lab = t;
            else if( t != lab ) lab = WSHED;
        t = m[mstep];
        if( t > 0 )
            if( lab == 0 ) lab = t;
            else if( t != lab ) lab = WSHED;
        

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