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