FastLineRecognition::Cluster Struct Reference

cluster of intersection points More...

#include <FastLineRecognition.h>

Public Member Functions
void	add (const Point *p1, const Point *p2, double a, double b, double w)
	Cluster ()
bool	operator< (const Cluster &c) const

Public Attributes
std::vector< const Point * >	contents
double	max_a
double	max_b
double	min_a
double	min_b
double	S1
double	Saw
double	Sbw
double	Sw
double	weight

Detailed Description

cluster of intersection points

Definition at line 81 of file FastLineRecognition.h.

Constructor & Destructor Documentation

FastLineRecognition::Cluster::Cluster ( )

inline

Definition at line 89 of file FastLineRecognition.h.

: Saw(0.), Sbw(0.), Sw(0.), S1(0.), weight(0.) {}

Member Function Documentation

void FastLineRecognition::Cluster::add	(	const Point *	p1,
		const Point *	p2,
		double	a,
		double	b,
		double	w
	)

Definition at line 31 of file FastLineRecognition.cc.

References relmon_rootfiles_spy::contents, FastLineRecognition::Point::hit, bookConverter::max, min(), and w.

Referenced by counter.Counter::register().

{
  // which points to be added to contents?
  bool add1 = true, add2 = true;
  for (vector<const Point *>::const_iterator it = contents.begin(); it != contents.end() && (add1 || add2); ++it)
  {
    if ((*it)->hit == p1->hit)
      add1 = false;

    if ((*it)->hit == p2->hit)
      add2 = false;
  }
  
  // add the points
  if (add1)
    contents.push_back(p1);
  if (add2)
    contents.push_back(p2);

  // update sums, mins and maxs
  Saw += a*w;
  Sbw += b*w;
  Sw += w;
  S1 += 1.;

  min_a = min(a, min_a);
  min_b = min(b, min_b);
  max_a = max(a, max_a);
  max_b = max(b, max_b);
}

bool FastLineRecognition::Cluster::operator< ( const Cluster &  c ) const

inline

Definition at line 93 of file FastLineRecognition.h.

References Sw.

      {
        return (this->Sw > c.Sw) ? true : false;
      }

Member Data Documentation

std::vector<const Point *> FastLineRecognition::Cluster::contents

Definition at line 87 of file FastLineRecognition.h.

Referenced by BeautifulSoup.PageElement::_invert(), FastLineRecognition::getPatterns(), and dqm_interfaces.DirFetcher::run().

double FastLineRecognition::Cluster::max_a

Definition at line 85 of file FastLineRecognition.h.

double FastLineRecognition::Cluster::max_b

Definition at line 85 of file FastLineRecognition.h.

double FastLineRecognition::Cluster::min_a

Definition at line 85 of file FastLineRecognition.h.

double FastLineRecognition::Cluster::min_b

Definition at line 85 of file FastLineRecognition.h.

double FastLineRecognition::Cluster::S1

Definition at line 83 of file FastLineRecognition.h.

Referenced by FastLineRecognition::getOneLine().

double FastLineRecognition::Cluster::Saw

Definition at line 83 of file FastLineRecognition.h.

Referenced by FastLineRecognition::getOneLine(), and FastLineRecognition::getPatterns().

double FastLineRecognition::Cluster::Sbw

Definition at line 83 of file FastLineRecognition.h.

Referenced by FastLineRecognition::getOneLine(), and FastLineRecognition::getPatterns().

double FastLineRecognition::Cluster::Sw

Definition at line 83 of file FastLineRecognition.h.

Referenced by FastLineRecognition::getOneLine(), FastLineRecognition::getPatterns(), and operator<().

double FastLineRecognition::Cluster::weight

Definition at line 84 of file FastLineRecognition.h.

Referenced by cuy.ValElement::__init__(), cuy.additionElement::__init__(), cuy.superimposeElement::__init__(), cuy.graphElement::__init__(), dirstructure.Directory::calcStats(), dirstructure.Directory::get_fail_rate(), dirstructure.Directory::get_null_rate(), dirstructure.Directory::get_skiped_rate(), dirstructure.Directory::get_success_rate(), FastLineRecognition::getPatterns(), and dirstructure.Directory::print_report().