ahoughtransform.cpp

微软的基于HMM的人脸识别原代码, 非常经典的说

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#include "CVTest.h"

#include <stdlib.h>
#include <math.h>
#include <float.h>

static const int HT_STANDARD = 1;
static const int HT_PP = 2;
static const int HT_MD = 3;

static char* func_names[] = {"cvHoughTransform", "cvHoughTransformP", "cvHoughTransformSDiv"};
static char* test_desc[] = { "Run the hough transform function"};

int test_dt(void* arg);
int read_image_dims(void);
int read_gen_type(void);

int test_ht(void* arg)
{
    int nlines = 10;
    int* lines = new int[4*nlines];
    float* flines = new float[2*nlines];
    float rho = 10.0f, theta = 0.1f;
    int srn = 10, stn = 10;
    int threshold = 10;
    int lineLength = 10, lineGap = 2;
    int w = 100; /* width and height of the rect */
    int h = 100;
    int type = int(arg);
    IplImage* image; /* Source and destination images */
    image = cvCreateImage( cvSize(w, h), 8, 1 );
    iplSet(image, 0);
    
    if( image == NULL )
    {
        delete lines;
        delete flines;
        return trsResult(TRS_FAIL, "Not enough memory to perform the test");
    }

    switch(type)
    {
    case HT_STANDARD:
        /* Run the distance transformation function */
        cvHoughLines(image, rho, theta, threshold, flines, nlines);
        break;

    case HT_PP:
        cvHoughLinesP(image, rho, theta, threshold, lineLength, lineGap, lines, nlines);
        break;

    case HT_MD:
        cvHoughLinesSDiv(image, rho, srn, theta, stn, threshold, flines, nlines);
        break;

    default:
        iplDeallocate( image, IPL_IMAGE_ALL );
        delete lines;
        delete flines;
        trsResult(TRS_FAIL, "No such function");
    }
    cvReleaseImage( &image );
    delete lines;
    delete flines;
    if(iplGetErrStatus() < 0)
    {
        return trsResult(TRS_FAIL, "Function returned 'bad argument'");
    }
    else
    {
        return trsResult(TRS_OK, "No errors");
    }
}

void InitAHoughLines(void)
{
    /* Registering test functions */
    trsRegArg(func_names[0], test_desc[0], atsAlgoClass, test_ht, HT_STANDARD);
    trsRegArg(func_names[1], test_desc[0], atsAlgoClass, test_ht, HT_PP);
    trsRegArg(func_names[2], test_desc[0], atsAlgoClass, test_ht, HT_MD);

} /* InitADistanceTransform*/