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float2int.cpp
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1 /******************************************************************************
2 ** Filename: float2int.c
3 ** Purpose: Routines for converting float features to int features
4 ** Author: Dan Johnson
5 ** History: Wed Mar 13 07:47:48 1991, DSJ, Created.
6 **
7 ** (c) Copyright Hewlett-Packard Company, 1988.
8 ** Licensed under the Apache License, Version 2.0 (the "License");
9 ** you may not use this file except in compliance with the License.
10 ** You may obtain a copy of the License at
11 ** http://www.apache.org/licenses/LICENSE-2.0
12 ** Unless required by applicable law or agreed to in writing, software
13 ** distributed under the License is distributed on an "AS IS" BASIS,
14 ** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
15 ** See the License for the specific language governing permissions and
16 ** limitations under the License.
17 ******************************************************************************/
18 /*-----------------------------------------------------------------------------
19 Include Files and Type Defines
20 -----------------------------------------------------------------------------*/
21 #include "float2int.h"
22 #include "normmatch.h"
23 #include "mfoutline.h"
24 #include "classify.h"
25 #include "helpers.h"
26 #include "picofeat.h"
27
28 #define MAX_INT_CHAR_NORM (INT_CHAR_NORM_RANGE - 1)
29
30 /*-----------------------------------------------------------------------------
31 Public Code
32 -----------------------------------------------------------------------------*/
33 /*---------------------------------------------------------------------------*/
34 namespace tesseract {
35
48 void Classify::ClearCharNormArray(uinT8* char_norm_array) {
49 memset(char_norm_array, 0, sizeof(*char_norm_array) * unicharset.size());
50 } /* ClearCharNormArray */
51
52
53 /*---------------------------------------------------------------------------*/
69 void Classify::ComputeIntCharNormArray(const FEATURE_STRUCT& norm_feature,
70 uinT8* char_norm_array) {
71 for (int i = 0; i < unicharset.size(); i++) {
72 int norm_adjust = static_cast<int>(INT_CHAR_NORM_RANGE *
73 ComputeNormMatch(i, norm_feature, FALSE));
74 char_norm_array[i] = ClipToRange(norm_adjust, 0, MAX_INT_CHAR_NORM);
75 }
76 } /* ComputeIntCharNormArray */
77
78
79 /*---------------------------------------------------------------------------*/
94 void Classify::ComputeIntFeatures(FEATURE_SET Features,
95 INT_FEATURE_ARRAY IntFeatures) {
96 int Fid;
97 FEATURE Feature;
98 FLOAT32 YShift;
99
100 if (classify_norm_method == baseline)
101 YShift = BASELINE_Y_SHIFT;
102 else
103 YShift = Y_SHIFT;
104
105 for (Fid = 0; Fid < Features->NumFeatures; Fid++) {
106 Feature = Features->Features[Fid];
107
108 IntFeatures[Fid].X = BucketFor (Feature->Params[PicoFeatX],
109 X_SHIFT, INT_FEAT_RANGE);
110 IntFeatures[Fid].Y = BucketFor (Feature->Params[PicoFeatY],
111 YShift, INT_FEAT_RANGE);
112 IntFeatures[Fid].Theta = CircBucketFor (Feature->Params[PicoFeatDir],
113 ANGLE_SHIFT, INT_FEAT_RANGE);
114 IntFeatures[Fid].CP_misses = 0;
115 }
116 } /* ComputeIntFeatures */
117 } // namespace tesseract