//特征点检测
void SiftMatch::on_detectButton_clicked()
{
img1_Feat = cvCloneImage(img1);//复制图1，深拷贝，用来画特征点
img2_Feat = cvCloneImage(img2);//复制图2，深拷贝，用来画特征点
//默认提取的是LOWE格式的SIFT特征点
//提取并显示第1幅图片上的特征点
n1 = sift_features( img1, &feat1 );//检测图1中的SIFT特征点,n1是图1的特征点个数
export_features("feature1.txt",feat1,n1);//将特征向量数据写入到文件
draw_features( img1_Feat, feat1, n1 );//画出特征点
//cvNamedWindow(IMG1_FEAT);//创建窗口
//cvShowImage(IMG1_FEAT,img1_Feat);//显示
QString name1_Feat = name1;//文件名，原文件名加"_Feat"
cvSaveImage(name1_Feat.insert( name1_Feat.lastIndexOf(".",-1) , "_Feat").toAscii().data(),img1_Feat);//保存图片
//提取并显示第2幅图片上的特征点
n2 = sift_features( img2, &feat2 );//检测图2中的SIFT特征点，n2是图2的特征点个数
export_features("feature2.txt",feat2,n2);//将特征向量数据写入到文件
draw_features( img2_Feat, feat2, n2 );//画出特征点
//cvNamedWindow(IMG2_FEAT);//创建窗口
//cvShowImage(IMG2_FEAT,img2_Feat);//显示
QString name2_Feat = name2;//文件名，原文件名加"_Feat"
cvSaveImage(name2_Feat.insert( name2_Feat.lastIndexOf(".",-1) , "_Feat").toAscii().data(),img2_Feat);//保存图片
ui->detectButton->setEnabled(false);//禁用特征检测按钮
ui->radioButton_horizontal->setEnabled(true);//激活排列方向选择按钮
ui->radioButton_vertical->setEnabled(true);
ui->matchButton->setEnabled(true);//激活特征匹配按钮
}
int main( int argc, char** argv )
{
IplImage* img;
struct feature* features;
int n = 0;
fprintf( stderr, "Finding SIFT features...\n" );
img = cvLoadImage( img_file_name, 1 );
if( ! img )
{
fprintf( stderr, "unable to load image from %s", img_file_name );
exit( 1 );
}
n = _sift_features( img, &features, intvls, sigma, contr_thr, curv_thr,
img_dbl, descr_width, descr_hist_bins );
fprintf( stderr, "Found %d features.\n", n );
if( display )
{
draw_features( img, features, n );
cvNamedWindow( img_file_name, 1 );
cvShowImage( img_file_name, img );
cvWaitKey( 0 );
}
if( out_file_name != NULL )
export_features( out_file_name, features, n );
if( out_img_name != NULL )
cvSaveImage( out_img_name, img );
return 0;
}
// Feature Thread
void* featureThread(void* featureData)
{
char file[25];
int index, numFeatures;
struct feature* feat;
struct fData* temp;
temp = (struct fData*) featureData;
IplImage* img = temp->img;
index = temp->index;
sprintf(file, "features/temp%d", index);
struct feature* feat1;
if (import_features(file, FEATURE_LOWE, &feat1) == -1) {
numFeatures = sift_features(img, &feat);
export_features(file, feat, numFeatures);
printf("features for image %d:\n", index);
// print all features
if (DEBUG) {
printFeature(feat, numFeatures, 100);
printf("\n\n");
}
}
}
int CUtil_Sift::GetSiftFile( const char* imagefile,const char* siftfile )
{
int intvls = SIFT_INTVLS;
double sigma = SIFT_SIGMA;
double contr_thr = 0.2;
int curv_thr = SIFT_CURV_THR;
int img_dbl = SIFT_IMG_DBL;
int descr_width = SIFT_DESCR_WIDTH;
int descr_hist_bins = SIFT_DESCR_HIST_BINS;
IplImage* img;
struct feature* features;
int n = 0;
if ( !imagefile || !siftfile )
{
return -1;
}
if ( strlen(imagefile)<1 || strlen(siftfile)<1 )
{
return -1;
}
img = cvLoadImage( imagefile,1);
if( !img )
{
return -1;
}
fprintf(stderr,"load image %s\n",imagefile);
n = _sift_features( img, &features, intvls, sigma, contr_thr, curv_thr,
img_dbl, descr_width, descr_hist_bins );
export_features( (char*)siftfile, features, n );
return n;
}
int main2( int argc, char** argv )
{
IplImage* img;
struct feature* features;
int n = 0;
arg_parse( argc, argv );
fprintf( stderr, "Finding SIFT features...\n" );
img = cvLoadImage( img_file_name, 1 );
if( ! img )
fatal_error( "unable to load image from %s", img_file_name );
n = _sift_features( img, &features, intvls, sigma, contr_thr, curv_thr,
img_dbl, descr_width, descr_hist_bins );
fprintf( stderr, "Found %d features.\n", n );
if( display )
{
draw_features( img, features, n );
display_big_img( img, img_file_name );
cvWaitKey( 0 );
}
if( out_file_name != NULL )
export_features( out_file_name, features, n );
if( out_img_name != NULL )
cvSaveImage( out_img_name, img, NULL );
cvReleaseImage( &img );
return 0;
}
// [ref] ${OPENSIFT_HOME}/src/siftfeat.c
void extract_feature()
{
#if 1
const std::string in_img_file_name("./data/feature_analysis/sift/beaver.png");
const std::string out_sift_file_name("./data/feature_analysis/sift/beaver.sift");
const std::string out_img_file_name;
#elif 0
const std::string in_img_file_name("./data/feature_analysis/sift/marker_pen_2.bmp");
const std::string out_sift_file_name("./data/feature_analysis/sift/marker_pen_2.sift");
const std::string out_img_file_name;
#endif
const int display = 1;
const int intvls = SIFT_INTVLS;
const double sigma = SIFT_SIGMA;
const double contr_thr = SIFT_CONTR_THR;
const int curv_thr = SIFT_CURV_THR;
const int img_dbl = SIFT_IMG_DBL;
const int descr_width = SIFT_DESCR_WIDTH;
const int descr_hist_bins = SIFT_DESCR_HIST_BINS;
std::cout << "finding SIFT features..." << std::endl;
IplImage *img = cvLoadImage(in_img_file_name.c_str(), 1);
if (!img)
{
std::cout <<"unable to load image from " << in_img_file_name << std::endl;
return;
}
struct feature *features;
const int n = _sift_features(img, &features, intvls, sigma, contr_thr, curv_thr, img_dbl, descr_width, descr_hist_bins);
std::cout << "found " << n << " features." << std::endl;
if (display)
{
draw_features(img, features, n);
cvNamedWindow(in_img_file_name.c_str(), 1);
cvShowImage(in_img_file_name.c_str(), img);
cvWaitKey(0);
}
if (!out_sift_file_name.empty())
export_features((char *)out_sift_file_name.c_str(), features, n);
if (!out_img_file_name.empty())
cvSaveImage(out_img_file_name.c_str(), img);
}
