ACwithoutEdges::ACwithoutEdges(const unsigned char* img_data1, int img_width1, int img_height1) :
ActiveContour(img_data1, img_width1, img_height1,
true, 0.65, 0.65, 0.0, 0.0,
true, 5, 2.0, 30, 3),
lambda_out(1), lambda_in(1)
{
initialize_sums();
calculate_means();
}
void ACwithoutEdges::initialize_for_each_frame()
{
ActiveContour::initialize_for_each_frame();
initialize_sums();
calculate_means();
return;
}
ACwithoutEdges::ACwithoutEdges(const unsigned char* img_data1, int img_width1, int img_height1,
const char* phi_init1,
bool hasCycle2_1, int kernel_length1, double sigma1, int Na1, int Ns1,
int lambda_out1, int lambda_in1) :
ActiveContour(img_data1, img_width1, img_height1,
phi_init1,
hasCycle2_1, kernel_length1, sigma1, Na1, Ns1),
lambda_out(lambda_out1), lambda_in(lambda_in1)
{
initialize_sums();
calculate_means();
}
RegionBasedActiveContourYUV::RegionBasedActiveContourYUV(const ofeli::Matrix<const unsigned char>& img_rgb1) :
ActiveContour(img_rgb1.get_width(), img_rgb1.get_height(),
true, 0.65, 0.65, 0.0, 0.0,
true, 5, 2.0, 30, 3),
img_rgb(img_rgb1),
lambda_out(1), lambda_in(1), alpha(1), beta(10), gamma(10)
{
if( !isValid_matrix(img_rgb1) )
{
std::cerr << std::endl <<
"img_rgb1 is not valid."
<< std::endl;
}
initialize_sums();
calculate_means();
}
void RegionBasedActiveContourYUV::initialize_for_each_frame()
{
unsigned int it = get_iteration();
ActiveContour::initialize_for_each_frame();
// condition for video tracking :
// If the active contour moves enough ( > 120 ), variables sums, n_in, n_out
// are too different and are recalculated.
// If the active contour does not evolve ( < 5 because a last cycle 2 is performed )
// in the case of uniform images (or during the object initialization),
// variables are (re)calculated for convergence.
// Otherwise, variables are not calculated.
if( it > 120 || it < 5 )
{
initialize_sums();
}
calculate_means();
}
RegionBasedActiveContourYUV::RegionBasedActiveContourYUV(const ofeli::Matrix<const unsigned char>& img_rgb1,
bool hasEllipse1, double shape_width_ratio1, double shape_height_ratio1, double center_x_ratio1, double center_y_ratio1,
bool hasCycle2_1, unsigned int kernel_length1, double sigma1, unsigned int Na1, unsigned int Ns1,
int lambda_out1, int lambda_in1, int alpha1, int beta1, int gamma1) :
ActiveContour(img_rgb1.get_width(), img_rgb1.get_height(),
hasEllipse1, shape_width_ratio1, shape_height_ratio1, center_x_ratio1, center_y_ratio1,
hasCycle2_1, kernel_length1, sigma1, Na1, Ns1),
img_rgb(img_rgb1),
lambda_out(check_value(lambda_out1)), lambda_in(check_value(lambda_in1)), alpha(check_value(alpha1)), beta(check_value(beta1)), gamma(check_value(gamma1))
{
if( !isValid_matrix(img_rgb1) )
{
std::cerr << std::endl <<
"img_rgb1 is not valid."
<< std::endl;
}
initialize_sums();
calculate_means();
}
RegionBasedActiveContourYUV::RegionBasedActiveContourYUV(const ofeli::Matrix<const unsigned char>& img_rgb1,
const ofeli::Matrix<const signed char>& phi_init1,
bool hasCycle2_1, unsigned int kernel_length1, double sigma1, unsigned int Na1, unsigned int Ns1,
int lambda_out1, int lambda_in1, int alpha1, int beta1, int gamma1) :
ActiveContour(phi_init1,
hasCycle2_1, kernel_length1, sigma1, Na1, Ns1),
img_rgb(img_rgb1),
lambda_out(check_value(lambda_out1)), lambda_in(check_value(lambda_in1)), alpha(check_value(alpha1)), beta(check_value(beta1)), gamma(check_value(gamma1))
{
if( !isValid_matrix(img_rgb1) )
{
std::cerr << std::endl <<
"img_rgb1 is not valid."
<< std::endl;
}
if( !isValid_matrix(phi_init1) )
{
std::cerr << std::endl <<
"phi_init1 is not valid."
<< std::endl;
}
if( phi_init1.get_width() != img_rgb1.get_width() )
{
std::cerr << std::endl <<
"Precondition, phi_init1 must have the same width of the input image img_rgb1."
<< std::endl;
}
if( phi_init1.get_height() != img_rgb1.get_height() )
{
std::cerr << std::endl <<
"Precondition, phi_init1 must have the same height of the input image img_rgb1."
<< std::endl;
}
initialize_sums();
calculate_means();
}