/****************************************************************************** ** 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 < Templates->NumClasses; 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 < Templates->NumClasses; i++) { NormAdjust = (int) (INT_CHAR_NORM_RANGE * ComputeNormMatch (Templates->ClassIdFor[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 < Features->NumFeatures; Fid++) { Feature = Features->Features[Fid]; IntFeatures[Fid].X = BucketFor (Feature->Params[PicoFeatX], X_SHIFT, INT_FEAT_RANGE); IntFeatures[Fid].Y = BucketFor (Feature->Params[PicoFeatY], YShift, INT_FEAT_RANGE); IntFeatures[Fid].Theta = CircBucketFor (Feature->Params[PicoFeatDir], ANGLE_SHIFT, INT_FEAT_RANGE); IntFeatures[Fid].CP_misses = 0; } } /* ComputeIntFeatures */