training/mergenf.cpp

/******************************************************************************
**	Filename:    MergeNF.c
**	Purpose:     Program for merging similar nano-feature protos
**	Author:      Dan Johnson
**	History:     Wed Nov 21 09:55:23 1990, DSJ, Created.
**
 **	(c) Copyright Hewlett-Packard Company, 1988.
 ** Licensed under the Apache License, Version 2.0 (the "License");
 ** you may not use this file except in compliance with the License.
 ** You may obtain a copy of the License at
 ** http://www.apache.org/licenses/LICENSE-2.0
 ** Unless required by applicable law or agreed to in writing, software
 ** distributed under the License is distributed on an "AS IS" BASIS,
 ** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 ** See the License for the specific language governing permissions and
 ** limitations under the License.
******************************************************************************/
/**----------------------------------------------------------------------------
					Include Files and Type Defines
----------------------------------------------------------------------------**/
#include "mergenf.h"
#include "general.h"
#include "efio.h"
#include "clusttool.h"
#include "cluster.h"
#include "oldlist.h"
#include "protos.h"
#include "ndminx.h"
#include "ocrfeatures.h"
#include "const.h"
#include "featdefs.h"
#include "intproto.h"
#include "varable.h"

#include <stdio.h>
#include <string.h>
#include <math.h>


/**----------------------------------------------------------------------------
					Variables
-----------------------------------------------------------------------------**/
/*-------------------once in subfeat---------------------------------*/
double_VAR(training_angle_match_scale, 1.0, "Angle Match Scale ...");

double_VAR(training_similarity_midpoint, 0.0075, "Similarity Midpoint ...");

double_VAR(training_similarity_curl, 2.0, "Similarity Curl ...");

/*-----------------------------once in fasttrain----------------------------------*/
double_VAR(training_tangent_bbox_pad, 0.5, "Tangent bounding box pad ...");

double_VAR(training_orthogonal_bbox_pad, 2.5, "Orthogonal bounding box pad ...");

double_VAR(training_angle_pad, 45.0, "Angle pad ...");

/**----------------------------------------------------------------------------
		  		Global Data Definitions and Declarations
----------------------------------------------------------------------------**/
//int row_number;			/* kludge due to linking problems */

/**----------------------------------------------------------------------------
							Public Code
----------------------------------------------------------------------------**/
/*---------------------------------------------------------------------------*/
FLOAT32 CompareProtos(PROTO p1, PROTO p2) {
/*
**	Parameters:
**		p1, p2		protos to be compared
**	Globals: none
**	Operation: Compare protos p1 and p2 and return an estimate of the
**		worst evidence rating that will result for any part of p1
**		that is compared to p2.  In other words, if p1 were broken
**		into pico-features and each pico-feature was matched to p2,
**		what is the worst evidence rating that will be achieved for
**		any pico-feature.
**	Return: Worst possible result when matching p1 to p2.
**	Exceptions: none
**	History: Mon Nov 26 08:27:53 1990, DSJ, Created.
*/
	FEATURE	Feature;
	FLOAT32	WorstEvidence = WORST_EVIDENCE;
	FLOAT32	Evidence;
	FLOAT32	Angle, Length;

	/* if p1 and p2 are not close in length, don't let them match */
  Length = fabs (p1->Length - p2->Length);
	if (Length > MAX_LENGTH_MISMATCH)
		return (0.0);

	/* create a dummy pico-feature to be used for comparisons */
	Feature = NewFeature (&PicoFeatDesc);
  Feature->Params[PicoFeatDir] = p1->Angle;

	/* convert angle to radians */
  Angle = p1->Angle * 2.0 * PI;

	/* find distance from center of p1 to 1/2 picofeat from end */
  Length = p1->Length / 2.0 - GetPicoFeatureLength () / 2.0;
	if (Length < 0) Length = 0;

	/* set the dummy pico-feature at one end of p1 and match it to p2 */
  Feature->Params[PicoFeatX] = p1->X + cos (Angle) * Length;
  Feature->Params[PicoFeatY] = p1->Y + sin (Angle) * Length;
  if (DummyFastMatch (Feature, p2)) {
		Evidence = SubfeatureEvidence (Feature, p2);
		if (Evidence < WorstEvidence)
			WorstEvidence = Evidence;
  } else {
		FreeFeature (Feature);
    return 0.0;
    }

	/* set the dummy pico-feature at the other end of p1 and match it to p2 */
  Feature->Params[PicoFeatX] = p1->X - cos (Angle) * Length;
  Feature->Params[PicoFeatY] = p1->Y - sin (Angle) * Length;
  if (DummyFastMatch (Feature, p2)) {
		Evidence = SubfeatureEvidence (Feature, p2);
		if (Evidence < WorstEvidence)
			WorstEvidence = Evidence;
  } else {
		FreeFeature (Feature);
    return 0.0;
    }

	FreeFeature (Feature);
	return (WorstEvidence);

}	/* CompareProtos */

/*---------------------------------------------------------------------------*/
void ComputeMergedProto (
     PROTO	p1,
	 PROTO	p2,
     FLOAT32	w1,
	 FLOAT32	w2,
     PROTO	MergedProto)

/*
**	Parameters:
**		p1, p2		protos to be merged
**		w1, w2		weight of each proto
**		MergedProto	place to put resulting merged proto
**	Globals: none
**	Operation: This routine computes a proto which is the weighted
**		average of protos p1 and p2.  The new proto is returned
**		in MergedProto.
**	Return: none (results are returned in MergedProto)
**	Exceptions: none
**	History: Mon Nov 26 08:15:08 1990, DSJ, Created.
*/

{
	FLOAT32	TotalWeight;

	TotalWeight = w1 + w2;
	w1 /= TotalWeight;
	w2 /= TotalWeight;

  MergedProto->X = p1->X * w1 + p2->X * w2;
  MergedProto->Y = p1->Y * w1 + p2->Y * w2;
  MergedProto->Length = p1->Length * w1 + p2->Length * w2;
  MergedProto->Angle = p1->Angle * w1 + p2->Angle * w2;
	FillABC     (MergedProto);
}	/* ComputeMergedProto */

/*---------------------------------------------------------------------------*/
int FindClosestExistingProto(CLASS_TYPE Class, int NumMerged[],
                             PROTOTYPE  *Prototype) {
/*
**	Parameters:
**		Class		class to search for matching old proto in
**		NumMerged[]	# of protos merged into each proto of Class
**		Prototype	new proto to find match for
**	Globals: none
**	Operation: This routine searches thru all of the prototypes in
**		Class and returns the id of the proto which would provide
**		the best approximation of Prototype.  If no close
**		approximation can be found, NO_PROTO is returned.
**	Return: Id of closest proto in Class or NO_PROTO.
**	Exceptions: none
**	History: Sat Nov 24 11:42:58 1990, DSJ, Created.
*/
	PROTO_STRUCT	NewProto;
	PROTO_STRUCT	MergedProto;
	int		Pid;
	PROTO		Proto;
	int		BestProto;
	FLOAT32	BestMatch;
	FLOAT32	Match, OldMatch, NewMatch;

	MakeNewFromOld (&NewProto, Prototype);

	BestProto = NO_PROTO;
	BestMatch = WORST_MATCH_ALLOWED;
  for (Pid = 0; Pid < Class->NumProtos; Pid++) {
		Proto  = ProtoIn (Class, Pid);
		ComputeMergedProto (Proto, &NewProto,
			(FLOAT32) NumMerged[Pid], 1.0, &MergedProto);
		OldMatch = CompareProtos (Proto, &MergedProto);
		NewMatch = CompareProtos (&NewProto, &MergedProto);
		Match = MIN (OldMatch, NewMatch);
    if (Match > BestMatch) {
			BestProto = Pid;
			BestMatch = Match;
		}
    }
  return BestProto;
}	/* FindClosestExistingProto */

/*---------------------------------------------------------------------------*/
void MakeNewFromOld(PROTO New, PROTOTYPE *Old) {
/*
**	Parameters:
**		New	new proto to be filled in
**		Old	old proto to be converted
**	Globals: none
**	Operation: This fills in the fields of the New proto based on the
**		fields of the Old proto.
**	Return: none
**	Exceptions: none
**	History: Mon Nov 26 09:45:39 1990, DSJ, Created.
*/
  New->X = CenterX(Old->Mean);
  New->Y = CenterY(Old->Mean);
  New->Length = LengthOf(Old->Mean);
  New->Angle = OrientationOf(Old->Mean);
	FillABC     (New);
}	/* MakeNewFromOld */

/*-------------------once in subfeat---------------------------------*/

/**********************************************************************
* SubfeatureEvidence
*
* Compare a feature to a prototype. Print the result.
**********************************************************************/
FLOAT32 SubfeatureEvidence(FEATURE Feature, PROTO Proto) {
	float       Distance;
	float       Dangle;

  Dangle   = Proto->Angle - Feature->Params[PicoFeatDir];
	if (Dangle < -0.5) Dangle += 1.0;
	if (Dangle >  0.5) Dangle -= 1.0;
  Dangle *= training_angle_match_scale;

  Distance = Proto->A * Feature->Params[PicoFeatX] +
    Proto->B * Feature->Params[PicoFeatY] +
    Proto->C;

	return (EvidenceOf (Distance * Distance + Dangle * Dangle));
}

/**********************************************************************
* EvidenceOf
*
* Return the new type of evidence number corresponding to this
* distance value.  This number is no longer based on the chi squared
* approximation.  The equation that represents the transform is:
*       1 / (1 + (sim / midpoint) ^ curl)
**********************************************************************/
FLOAT32 EvidenceOf (
  register FLOAT32   Similarity)
{

  Similarity /= training_similarity_midpoint;

  if (training_similarity_curl == 3)
		Similarity = Similarity * Similarity * Similarity;
  else if (training_similarity_curl == 2)
		Similarity = Similarity * Similarity;
	else
    Similarity = static_cast<float>(pow(static_cast<double>(Similarity),
	                                    training_similarity_curl));

	return (1.0 / (1.0 + Similarity));
}

/*---------------------------------------------------------------------------*/
BOOL8 DummyFastMatch (
     FEATURE	Feature,
     PROTO	Proto)

/*
**	Parameters:
**		Feature		feature to be "fast matched" to proto
**		Proto		proto being "fast matched" against
**	Globals:
**    training_tangent_bbox_pad    bounding box pad tangent to proto
**    training_orthogonal_bbox_pad bounding box pad orthogonal to proto
**	Operation: This routine returns TRUE if Feature would be matched
**		by a fast match table built from Proto.
**	Return: TRUE if feature could match Proto.
**	Exceptions: none
**	History: Wed Nov 14 17:19:58 1990, DSJ, Created.
*/

{
	FRECT		BoundingBox;
	FLOAT32	MaxAngleError;
	FLOAT32	AngleError;

  MaxAngleError = training_angle_pad / 360.0;
  AngleError = fabs (Proto->Angle - Feature->Params[PicoFeatDir]);
	if (AngleError > 0.5)
		AngleError = 1.0 - AngleError;

	if (AngleError > MaxAngleError)
		return (FALSE);

	ComputePaddedBoundingBox (Proto,
    training_tangent_bbox_pad * GetPicoFeatureLength (),
    training_orthogonal_bbox_pad * GetPicoFeatureLength (),
		&BoundingBox);

  return PointInside(&BoundingBox, Feature->Params[PicoFeatX],
                     Feature->Params[PicoFeatY]);
}	/* DummyFastMatch */

/*----------------------------------------------------------------------------*/
void ComputePaddedBoundingBox (PROTO  Proto, FLOAT32  TangentPad,
                               FLOAT32  OrthogonalPad, FRECT  *BoundingBox) {
/*
**	Parameters:
**		Proto		proto to compute bounding box for
**		TangentPad	amount of pad to add in direction of segment
**		OrthogonalPad	amount of pad to add orthogonal to segment
**		BoundingBox	place to put results
**	Globals: none
**	Operation: This routine computes a bounding box that encloses the
**		specified proto along with some padding.  The
**		amount of padding is specified as separate distances
**		in the tangential and orthogonal directions.
**	Return: none (results are returned in BoundingBox)
**	Exceptions: none
**	History: Wed Nov 14 14:55:30 1990, DSJ, Created.
*/
	FLOAT32	Pad, Length, Angle;
	FLOAT32	CosOfAngle, SinOfAngle;

  Length     = Proto->Length / 2.0 + TangentPad;
  Angle      = Proto->Angle * 2.0 * PI;
	CosOfAngle = fabs (cos (Angle));
	SinOfAngle = fabs (sin (Angle));

	Pad = MAX (CosOfAngle * Length, SinOfAngle * OrthogonalPad);
  BoundingBox->MinX = Proto->X - Pad;
  BoundingBox->MaxX = Proto->X + Pad;

	Pad = MAX (SinOfAngle * Length, CosOfAngle * OrthogonalPad);
  BoundingBox->MinY = Proto->Y - Pad;
  BoundingBox->MaxY = Proto->Y + Pad;

}	/* ComputePaddedBoundingBox */

/*--------------------------------------------------------------------------*/
BOOL8 PointInside(FRECT *Rectangle, FLOAT32 X, FLOAT32  Y) {
/*
**	Parameters:
**	Globals: none
**	Operation: Return TRUE if point (X,Y) is inside of Rectangle.
**	Return:  Return TRUE if point (X,Y) is inside of Rectangle.
**	Exceptions: none
**	History: Wed Nov 14 17:26:35 1990, DSJ, Created.
*/
	if (X < Rectangle->MinX) return (FALSE);
	if (X > Rectangle->MaxX) return (FALSE);
	if (Y < Rectangle->MinY) return (FALSE);
	if (Y > Rectangle->MaxY) return (FALSE);
	return (TRUE);

}	/* PointInside */