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/******************************************************************************
** Filename: float2int.c
** Purpose: Routines for converting float features to int features
** Author: Dan Johnson
** History: Wed Mar 13 07:47:48 1991, 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 "float2int.h"
#include "normmatch.h"
#include "mfoutline.h"
#include "picofeat.h"
#define MAX_INT_CHAR_NORM (INT_CHAR_NORM_RANGE - 1)
/**----------------------------------------------------------------------------
Public Code
----------------------------------------------------------------------------**/
/*---------------------------------------------------------------------------*/
void ClearCharNormArray(INT_TEMPLATES Templates,
CLASS_NORMALIZATION_ARRAY CharNormArray) {
/*
** Parameters:
** Templates specifies classes currently defined
** CharNormArray array to be cleared
** Globals: none
** Operation: For each class in Templates, clear the corresponding
** entry in CharNormArray. CharNormArray is indexed by class
** indicies (as obtained from Templates) rather than class id's.
** Return: none
** Exceptions: none
** History: Wed Feb 20 11:20:54 1991, DSJ, Created.
*/
int i;
for (i = 0; i < NumClassesIn (Templates); i++) {
CharNormArray[i] = 0;
}
} /* ClearCharNormArray */
/*---------------------------------------------------------------------------*/
void ComputeIntCharNormArray(FEATURE NormFeature,
INT_TEMPLATES Templates,
CLASS_NORMALIZATION_ARRAY CharNormArray) {
/*
** Parameters:
** NormFeature character normalization feature
** Templates specifies classes currently defined
** CharNormArray place to put results
** Globals: none
** Operation: For each class in Templates, compute the match between
** NormFeature and the normalization protos for that class.
** Convert this number to the range from 0 - 255 and store it
** into CharNormArray. CharNormArray is indexed by class
** indicies (as obtained from Templates) rather than class id's.
** Return: none (results are returned in CharNormArray)
** Exceptions: none
** History: Wed Feb 20 11:20:54 1991, DSJ, Created.
*/
int i;
int NormAdjust;
for (i = 0; i < NumClassesIn (Templates); i++) {
NormAdjust = (int) (INT_CHAR_NORM_RANGE *
ComputeNormMatch (i, NormFeature, FALSE));
if (NormAdjust < 0)
NormAdjust = 0;
else if (NormAdjust > MAX_INT_CHAR_NORM)
NormAdjust = MAX_INT_CHAR_NORM;
CharNormArray[i] = NormAdjust;
}
} /* ComputeIntCharNormArray */
/*---------------------------------------------------------------------------*/
void ComputeIntFeatures(FEATURE_SET Features, INT_FEATURE_ARRAY IntFeatures) {
/*
** Parameters:
** Features floating point pico-features to be converted
** IntFeatures array to put converted features into
** Globals: none
** Operation: This routine converts each floating point pico-feature
** in Features into integer format and saves it into
** IntFeatures.
** Return: none (results are returned in IntFeatures)
** Exceptions: none
** History: Wed Feb 20 10:58:45 1991, DSJ, Created.
*/
int Fid;
FEATURE Feature;
FLOAT32 YShift;
if (NormMethod == baseline)
YShift = BASELINE_Y_SHIFT;
else
YShift = Y_SHIFT;
for (Fid = 0; Fid < NumFeaturesIn (Features); Fid++) {
Feature = FeatureIn (Features, Fid);
IntFeatures[Fid].X = BucketFor (ParamOf (Feature, PicoFeatX),
X_SHIFT, INT_FEAT_RANGE);
IntFeatures[Fid].Y = BucketFor (ParamOf (Feature, PicoFeatY),
YShift, INT_FEAT_RANGE);
IntFeatures[Fid].Theta = CircBucketFor (ParamOf (Feature, PicoFeatDir),
ANGLE_SHIFT, INT_FEAT_RANGE);
IntFeatures[Fid].CP_misses = 0;
}
} /* ComputeIntFeatures */
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