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doxygen classify/picofeat.cpp

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Jim O'Regan 2015-07-20 17:09:59 +01:00
parent f9b4080a56
commit aa1df05321
1 changed files with 71 additions and 77 deletions
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classify/picofeat.cpp
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@ -15,9 +15,9 @@
** See the License for the specific language governing permissions and ** See the License for the specific language governing permissions and
** limitations under the License. ** limitations under the License.
******************************************************************************/ ******************************************************************************/
/**---------------------------------------------------------------------------- /*----------------------------------------------------------------------------
Include Files and Type Defines Include Files and Type Defines
----------------------------------------------------------------------------**/ ----------------------------------------------------------------------------*/
#include "picofeat.h" #include "picofeat.h"
#include "classify.h" #include "classify.h"
@ -49,23 +49,23 @@ void ConvertToPicoFeatures2(MFOUTLINE Outline, FEATURE_SET FeatureSet);
void NormalizePicoX(FEATURE_SET FeatureSet); void NormalizePicoX(FEATURE_SET FeatureSet);
/**---------------------------------------------------------------------------- /*----------------------------------------------------------------------------
Public Code Public Code
----------------------------------------------------------------------------**/ ----------------------------------------------------------------------------*/
/*---------------------------------------------------------------------------*/ /*---------------------------------------------------------------------------*/
namespace tesseract { namespace tesseract {
FEATURE_SET Classify::ExtractPicoFeatures(TBLOB *Blob) { /**
/* * Operation: Dummy for now.
** Parameters: *
** Blob blob to extract pico-features from * Globals:
** LineStats statistics on text row blob is in * - classify_norm_method normalization method currently specified
** Globals: * @param Blob blob to extract pico-features from
** classify_norm_method normalization method currently specified * @param LineStats statistics on text row blob is in
** Operation: Dummy for now. * @eturn Pico-features for Blob.
** Return: Pico-features for Blob. * @note Exceptions: none
** Exceptions: none * @notw History: 9/4/90, DSJ, Created.
** History: 9/4/90, DSJ, Created.
*/ */
FEATURE_SET Classify::ExtractPicoFeatures(TBLOB *Blob) {
LIST Outlines; LIST Outlines;
LIST RemainingOutlines; LIST RemainingOutlines;
MFOUTLINE Outline; MFOUTLINE Outline;
@ -88,29 +88,28 @@ FEATURE_SET Classify::ExtractPicoFeatures(TBLOB *Blob) {
} /* ExtractPicoFeatures */ } /* ExtractPicoFeatures */
} // namespace tesseract } // namespace tesseract
/**---------------------------------------------------------------------------- /*----------------------------------------------------------------------------
Private Code Private Code
----------------------------------------------------------------------------**/ ----------------------------------------------------------------------------*/
/*---------------------------------------------------------------------------*/ /*---------------------------------------------------------------------------*/
/**
* This routine converts an entire segment of an outline
* into a set of pico features which are added to
* FeatureSet. The length of the segment is rounded to the
* nearest whole number of pico-features. The pico-features
* are spaced evenly over the entire segment.
* Globals:
* - classify_pico_feature_length length of a single pico-feature
* @param Start starting point of pico-feature
* @param End ending point of pico-feature
* @param FeatureSet set to add pico-feature to
* @return none (results are placed in FeatureSet)
* @note Exceptions: none
* @note History: Tue Apr 30 15:44:34 1991, DSJ, Created.
*/
void ConvertSegmentToPicoFeat(FPOINT *Start, void ConvertSegmentToPicoFeat(FPOINT *Start,
FPOINT *End, FPOINT *End,
FEATURE_SET FeatureSet) { FEATURE_SET FeatureSet) {
/*
** Parameters:
** Start starting point of pico-feature
** End ending point of pico-feature
** FeatureSet set to add pico-feature to
** Globals:
** classify_pico_feature_length length of a single pico-feature
** Operation: This routine converts an entire segment of an outline
** into a set of pico features which are added to
** FeatureSet. The length of the segment is rounded to the
** nearest whole number of pico-features. The pico-features
** are spaced evenly over the entire segment.
** Return: none (results are placed in FeatureSet)
** Exceptions: none
** History: Tue Apr 30 15:44:34 1991, DSJ, Created.
*/
FEATURE Feature; FEATURE Feature;
FLOAT32 Angle; FLOAT32 Angle;
FLOAT32 Length; FLOAT32 Length;
@ -148,23 +147,21 @@ void ConvertSegmentToPicoFeat(FPOINT *Start,
/*---------------------------------------------------------------------------*/ /*---------------------------------------------------------------------------*/
void ConvertToPicoFeatures2(MFOUTLINE Outline, FEATURE_SET FeatureSet) { /**
/* * This routine steps thru the specified outline and cuts it
** Parameters: * up into pieces of equal length. These pieces become the
** Outline outline to extract micro-features from * desired pico-features. Each segment in the outline
** FeatureSet set of features to add pico-features to * is converted into an integral number of pico-features.
** Globals: *
** classify_pico_feature_length * Globals:
** length of features to be extracted * - classify_pico_feature_length length of features to be extracted
** Operation: * @param Outline outline to extract micro-features from
** This routine steps thru the specified outline and cuts it * @param FeatureSet set of features to add pico-features to
** up into pieces of equal length. These pieces become the * @return none (results are returned in FeatureSet)
** desired pico-features. Each segment in the outline * @note Exceptions: none
** is converted into an integral number of pico-features. * @note History: 4/30/91, DSJ, Adapted from ConvertToPicoFeatures().
** Return: none (results are returned in FeatureSet)
** Exceptions: none
** History: 4/30/91, DSJ, Adapted from ConvertToPicoFeatures().
*/ */
void ConvertToPicoFeatures2(MFOUTLINE Outline, FEATURE_SET FeatureSet) {
MFOUTLINE Next; MFOUTLINE Next;
MFOUTLINE First; MFOUTLINE First;
MFOUTLINE Current; MFOUTLINE Current;
@ -194,19 +191,18 @@ void ConvertToPicoFeatures2(MFOUTLINE Outline, FEATURE_SET FeatureSet) {
/*---------------------------------------------------------------------------*/ /*---------------------------------------------------------------------------*/
void NormalizePicoX(FEATURE_SET FeatureSet) { /**
/* * This routine computes the average x position over all
** Parameters: * of the pico-features in FeatureSet and then renormalizes
** FeatureSet pico-features to be normalized * the pico-features to force this average to be the x origin
** Globals: none * (i.e. x=0).
** Operation: This routine computes the average x position over all * @param FeatureSet pico-features to be normalized
** of the pico-features in FeatureSet and then renormalizes * @return none (FeatureSet is changed)
** the pico-features to force this average to be the x origin * @note Globals: none
** (i.e. x=0). * @note Exceptions: none
** Return: none (FeatureSet is changed) * @note History: Tue Sep 4 16:50:08 1990, DSJ, Created.
** Exceptions: none
** History: Tue Sep 4 16:50:08 1990, DSJ, Created.
*/ */
void NormalizePicoX(FEATURE_SET FeatureSet) {
int i; int i;
FEATURE Feature; FEATURE Feature;
FLOAT32 Origin = 0.0; FLOAT32 Origin = 0.0;
@ -225,16 +221,15 @@ void NormalizePicoX(FEATURE_SET FeatureSet) {
namespace tesseract { namespace tesseract {
/*---------------------------------------------------------------------------*/ /*---------------------------------------------------------------------------*/
/**
* @param blob blob to extract features from
* @param denorm normalization/denormalization parameters.
* @return Integer character-normalized features for blob.
* @note Exceptions: none
* @note History: 8/8/2011, rays, Created.
*/
FEATURE_SET Classify::ExtractIntCNFeatures( FEATURE_SET Classify::ExtractIntCNFeatures(
const TBLOB& blob, const INT_FX_RESULT_STRUCT& fx_info) { const TBLOB& blob, const INT_FX_RESULT_STRUCT& fx_info) {
/*
** Parameters:
** blob blob to extract features from
** denorm normalization/denormalization parameters.
** Return: Integer character-normalized features for blob.
** Exceptions: none
** History: 8/8/2011, rays, Created.
*/
INT_FX_RESULT_STRUCT local_fx_info(fx_info); INT_FX_RESULT_STRUCT local_fx_info(fx_info);
GenericVector<INT_FEATURE_STRUCT> bl_features; GenericVector<INT_FEATURE_STRUCT> bl_features;
tesseract::TrainingSample* sample = tesseract::BlobToTrainingSample( tesseract::TrainingSample* sample = tesseract::BlobToTrainingSample(
@ -258,16 +253,15 @@ FEATURE_SET Classify::ExtractIntCNFeatures(
} /* ExtractIntCNFeatures */ } /* ExtractIntCNFeatures */
/*---------------------------------------------------------------------------*/ /*---------------------------------------------------------------------------*/
/**
* @param blob blob to extract features from
* @param denorm normalization/denormalization parameters.
* @return Geometric (top/bottom/width) features for blob.
* @note Exceptions: none
* @note History: 8/8/2011, rays, Created.
*/
FEATURE_SET Classify::ExtractIntGeoFeatures( FEATURE_SET Classify::ExtractIntGeoFeatures(
const TBLOB& blob, const INT_FX_RESULT_STRUCT& fx_info) { const TBLOB& blob, const INT_FX_RESULT_STRUCT& fx_info) {
/*
** Parameters:
** blob blob to extract features from
** denorm normalization/denormalization parameters.
** Return: Geometric (top/bottom/width) features for blob.
** Exceptions: none
** History: 8/8/2011, rays, Created.
*/
INT_FX_RESULT_STRUCT local_fx_info(fx_info); INT_FX_RESULT_STRUCT local_fx_info(fx_info);
GenericVector<INT_FEATURE_STRUCT> bl_features; GenericVector<INT_FEATURE_STRUCT> bl_features;
tesseract::TrainingSample* sample = tesseract::BlobToTrainingSample( tesseract::TrainingSample* sample = tesseract::BlobToTrainingSample(