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https://github.com/tesseract-ocr/tesseract.git
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a18816f839
git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@441 d0cd1f9f-072b-0410-8dd7-cf729c803f20
135 lines
4.6 KiB
C++
135 lines
4.6 KiB
C++
/******************************************************************************
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** Filename: float2int.c
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** Purpose: Routines for converting float features to int features
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** Author: Dan Johnson
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** History: Wed Mar 13 07:47:48 1991, DSJ, Created.
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**
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** (c) Copyright Hewlett-Packard Company, 1988.
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** Licensed under the Apache License, Version 2.0 (the "License");
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** you may not use this file except in compliance with the License.
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** You may obtain a copy of the License at
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** http://www.apache.org/licenses/LICENSE-2.0
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** Unless required by applicable law or agreed to in writing, software
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** distributed under the License is distributed on an "AS IS" BASIS,
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** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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** See the License for the specific language governing permissions and
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** limitations under the License.
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******************************************************************************/
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/*-----------------------------------------------------------------------------
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Include Files and Type Defines
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-----------------------------------------------------------------------------*/
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#include "float2int.h"
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#include "normmatch.h"
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#include "mfoutline.h"
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#include "classify.h"
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#include "picofeat.h"
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#define MAX_INT_CHAR_NORM (INT_CHAR_NORM_RANGE - 1)
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/*-----------------------------------------------------------------------------
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Public Code
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-----------------------------------------------------------------------------*/
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/*---------------------------------------------------------------------------*/
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namespace tesseract {
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/**
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* For each class in Templates, clear the corresponding
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* entry in CharNormArray. CharNormArray is indexed by class
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* indicies (as obtained from Templates) rather than class id's.
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*
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* Globals:
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* - none
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*
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* @param Templates specifies classes currently defined
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* @param CharNormArray array to be cleared
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*
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* @note Exceptions: none
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* @note History: Wed Feb 20 11:20:54 1991, DSJ, Created.
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*/
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void ClearCharNormArray(INT_TEMPLATES Templates,
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CLASS_NORMALIZATION_ARRAY CharNormArray) {
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int i;
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for (i = 0; i < Templates->NumClasses; i++) {
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CharNormArray[i] = 0;
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}
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} /* ClearCharNormArray */
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/*---------------------------------------------------------------------------*/
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/**
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* For each class in Templates, compute the match between
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* NormFeature and the normalization protos for that class.
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* Convert this number to the range from 0 - 255 and store it
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* into CharNormArray. CharNormArray is indexed by class
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* indicies (as obtained from Templates) rather than class id's.
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*
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* Globals:
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* - none
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*
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* @param NormFeature character normalization feature
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* @param Templates specifies classes currently defined
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* @param[out] CharNormArray place to put results
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*
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* @note Exceptions: none
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* @note History: Wed Feb 20 11:20:54 1991, DSJ, Created.
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*/
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void Classify::ComputeIntCharNormArray(
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FEATURE NormFeature, INT_TEMPLATES Templates,
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CLASS_NORMALIZATION_ARRAY CharNormArray) {
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int i;
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int NormAdjust;
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for (i = 0; i < Templates->NumClasses; i++) {
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NormAdjust = (int) (INT_CHAR_NORM_RANGE *
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ComputeNormMatch (i, NormFeature, FALSE));
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if (NormAdjust < 0)
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NormAdjust = 0;
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else if (NormAdjust > MAX_INT_CHAR_NORM)
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NormAdjust = MAX_INT_CHAR_NORM;
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CharNormArray[i] = NormAdjust;
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}
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} /* ComputeIntCharNormArray */
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} // namespace tesseract
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/*---------------------------------------------------------------------------*/
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/**
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* This routine converts each floating point pico-feature
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* in Features into integer format and saves it into
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* IntFeatures.
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*
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* Globals:
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* - none
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*
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* @param Features floating point pico-features to be converted
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* @param[out] IntFeatures array to put converted features into
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*
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* @note Exceptions: none
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* @note History: Wed Feb 20 10:58:45 1991, DSJ, Created.
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*/
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void ComputeIntFeatures(FEATURE_SET Features, INT_FEATURE_ARRAY IntFeatures) {
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int Fid;
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FEATURE Feature;
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FLOAT32 YShift;
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if (classify_norm_method == baseline)
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YShift = BASELINE_Y_SHIFT;
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else
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YShift = Y_SHIFT;
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for (Fid = 0; Fid < Features->NumFeatures; Fid++) {
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Feature = Features->Features[Fid];
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IntFeatures[Fid].X = BucketFor (Feature->Params[PicoFeatX],
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X_SHIFT, INT_FEAT_RANGE);
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IntFeatures[Fid].Y = BucketFor (Feature->Params[PicoFeatY],
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YShift, INT_FEAT_RANGE);
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IntFeatures[Fid].Theta = CircBucketFor (Feature->Params[PicoFeatDir],
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ANGLE_SHIFT, INT_FEAT_RANGE);
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IntFeatures[Fid].CP_misses = 0;
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}
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} /* ComputeIntFeatures */
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