tesseract/classify/intmatcher.h

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/******************************************************************************
** Filename: intmatcher.h
** Purpose: Interface to high level generic classifier routines.
** Author: Robert Moss
** History: Wed Feb 13 15:24:15 MST 1991, RWM, 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.
******************************************************************************/
#ifndef INTMATCHER_H
#define INTMATCHER_H
#include "varable.h"
// Character fragments could be present in the trained templaes
// but turned on/off on the language-by-language basis or depending
// on particular properties of the corpus (e.g. when we expect the
// images to have low exposure).
extern BOOL_VAR_H(disable_character_fragments, FALSE,
"Do not include character fragments in the"
" results of the classifier");
extern INT_VAR_H(classify_integer_matcher_multiplier, 14,
"Integer Matcher Multiplier 0-255: ");
/**----------------------------------------------------------------------------
Include Files and Type Defines
----------------------------------------------------------------------------**/
#include "intproto.h"
#include "cutoffs.h"
typedef struct
{
FLOAT32 Rating;
uinT8 Config;
uinT8 Config2;
uinT16 FeatureMisses;
}
INT_RESULT_STRUCT, *INT_RESULT;
typedef struct
{
FLOAT32 Rating;
INT_RESULT_STRUCT IMResult;
CLASS_ID Class;
}
CP_RESULT_STRUCT;
/*typedef CLASS_ID CLASS_PRUNER_RESULTS [MAX_NUM_CLASSES]; */
typedef CP_RESULT_STRUCT CLASS_PRUNER_RESULTS[MAX_NUM_CLASSES];
typedef uinT8 CLASS_NORMALIZATION_ARRAY[MAX_NUM_CLASSES];
/*----------------------------------------------------------------------------
Variables
-----------------------------------------------------------------------------*/
extern INT_VAR_H(classify_adapt_proto_thresh, 230,
"Threshold for good protos during adaptive 0-255: ");
extern INT_VAR_H(classify_adapt_feature_thresh, 230,
"Threshold for good features during adaptive 0-255: ");
/**----------------------------------------------------------------------------
Public Function Prototypes
----------------------------------------------------------------------------**/
void IntegerMatcher(INT_CLASS ClassTemplate,
BIT_VECTOR ProtoMask,
BIT_VECTOR ConfigMask,
uinT16 BlobLength,
inT16 NumFeatures,
INT_FEATURE_ARRAY Features,
uinT8 NormalizationFactor,
INT_RESULT Result,
int Debug);
int FindGoodProtos(INT_CLASS ClassTemplate,
BIT_VECTOR ProtoMask,
BIT_VECTOR ConfigMask,
uinT16 BlobLength,
inT16 NumFeatures,
INT_FEATURE_ARRAY Features,
PROTO_ID *ProtoArray,
int Debug);
int FindBadFeatures(INT_CLASS ClassTemplate,
BIT_VECTOR ProtoMask,
BIT_VECTOR ConfigMask,
uinT16 BlobLength,
inT16 NumFeatures,
INT_FEATURE_ARRAY Features,
FEATURE_ID *FeatureArray,
int Debug);
void InitIntegerMatcher();
void PrintIntMatcherStats(FILE *f);
void SetProtoThresh(FLOAT32 Threshold);
void SetFeatureThresh(FLOAT32 Threshold);
void SetBaseLineMatch();
void SetCharNormMatch();
/**----------------------------------------------------------------------------
Private Function Prototypes
----------------------------------------------------------------------------**/
void IMClearTables (INT_CLASS ClassTemplate,
int SumOfFeatureEvidence[MAX_NUM_CONFIGS],
uinT8 ProtoEvidence[MAX_NUM_PROTOS][MAX_PROTO_INDEX]);
void IMClearFeatureEvidenceTable (uinT8 FeatureEvidence[MAX_NUM_CONFIGS],
int NumConfigs);
void IMDebugConfiguration(INT_FEATURE FeatureNum,
uinT16 ActualProtoNum,
uinT8 Evidence,
BIT_VECTOR ConfigMask,
uinT32 ConfigWord);
void IMDebugConfigurationSum(INT_FEATURE FeatureNum,
uinT8 *FeatureEvidence,
inT32 ConfigCount);
int IMUpdateTablesForFeature (INT_CLASS ClassTemplate,
BIT_VECTOR ProtoMask,
BIT_VECTOR ConfigMask,
int FeatureNum,
INT_FEATURE Feature,
uinT8 FeatureEvidence[MAX_NUM_CONFIGS],
int SumOfFeatureEvidence[MAX_NUM_CONFIGS],
uinT8
ProtoEvidence[MAX_NUM_PROTOS][MAX_PROTO_INDEX],
int Debug);
#ifndef GRAPHICS_DISABLED
void IMDebugFeatureProtoError (INT_CLASS ClassTemplate,
BIT_VECTOR ProtoMask,
BIT_VECTOR ConfigMask,
int SumOfFeatureEvidence[MAX_NUM_CONFIGS],
uinT8
ProtoEvidence[MAX_NUM_PROTOS][MAX_PROTO_INDEX],
inT16 NumFeatures, int Debug);
void IMDisplayProtoDebugInfo (INT_CLASS ClassTemplate,
BIT_VECTOR ProtoMask,
BIT_VECTOR ConfigMask,
uinT8
ProtoEvidence[MAX_NUM_PROTOS][MAX_PROTO_INDEX],
int Debug);
void IMDisplayFeatureDebugInfo(INT_CLASS ClassTemplate,
BIT_VECTOR ProtoMask,
BIT_VECTOR ConfigMask,
inT16 NumFeatures,
INT_FEATURE_ARRAY Features,
int Debug);
#endif
void IMUpdateSumOfProtoEvidences (INT_CLASS ClassTemplate,
BIT_VECTOR ConfigMask,
int SumOfFeatureEvidence[MAX_NUM_CONFIGS],
uinT8
ProtoEvidence[MAX_NUM_PROTOS]
[MAX_PROTO_INDEX], inT16 NumFeatures);
void IMNormalizeSumOfEvidences (INT_CLASS ClassTemplate,
int SumOfFeatureEvidence[MAX_NUM_CONFIGS],
inT16 NumFeatures, inT32 used_features);
int IMFindBestMatch (INT_CLASS ClassTemplate,
int SumOfFeatureEvidence[MAX_NUM_CONFIGS],
uinT16 BlobLength,
uinT8 NormalizationFactor, INT_RESULT Result);
#ifndef GRAPHICS_DISABLED
void IMDebugBestMatch(int BestMatch,
INT_RESULT Result,
uinT16 BlobLength,
uinT8 NormalizationFactor);
#endif
void HeapSort (int n, register int ra[], register int rb[]);
/**----------------------------------------------------------------------------
Global Data Definitions and Declarations
----------------------------------------------------------------------------**/
extern uinT32 EvidenceMultMask;
#endif