classify/blobclass.h File Reference

#include "oldlist.h"
#include "tessclas.h"

Go to the source code of this file.

Defines

Functions


Define Documentation

 
#define DisableCharDisplay (  )     (DisplayCharacters = FALSE)

Definition at line 34 of file blobclass.h.

 
#define DisableMatchDisplay (  )     (DisplayMatchList = FALSE)

Definition at line 38 of file blobclass.h.

 
#define EnableCharDisplay (  )     (DisplayCharacters = TRUE)

macros for controlling the display of recognized characters

Definition at line 33 of file blobclass.h.

 
#define EnableMatchDisplay (  )     (DisplayMatchList = TRUE)

macros for controlling the display of the entire match list

Definition at line 37 of file blobclass.h.


Function Documentation

void InitBlobClassifierVars (  ) 

Install blob classifier variables into the wiseowl variable system.

Parameters:
none 
Note:
Globals: FontName name of font being trained on
Returns:
none
Note:
Exceptions: none
Date:
Fri Jan 19 16:13:33 1990, DSJ, Created.

Definition at line 64 of file blobclass.cpp.

References dummy, FONT_NAME, FontName, and string_variable.

Referenced by mfeature_variables().

00064                               { 
00065   VALUE dummy;
00066 
00067   string_variable (FontName, "FontName", FONT_NAME);
00068 
00069 }                                /* InitBlobClassifierVars */

void LearnBlob ( TBLOB Blob,
TEXTROW Row,
char  BlobText[],
int  TextLength 
)

Extract micro-features from the specified blob and append them to the appropriate file.

Parameters:
Blob blob whose micro-features are to be learned
Row row of text that blob came from
BlobText text that corresponds to blob
TextLength number of characters in blob
Note:
Globals:
imagefile Base filename of the page being learned
FontName Name of font currently being trained on
Returns:
none
Note:
Exceptions: none
Date:
7/28/89, DSJ, Created.

Definition at line 97 of file blobclass.cpp.

References chartoname(), cprintf(), Efopen(), EnterLearnMode, ExtractBlobFeatures(), FontName, FreeCharDescription(), GetLineStatsFromRow(), imagefile, MAXCHARNAME, MAXFILENAME, NULL, TRAIN_SUFFIX, and WriteCharDescription().

Referenced by tess_training_tester().

00098 {
00099   static FILE *FeatureFile = NULL;
00100   char Filename[MAXFILENAME];
00101   char CharName[MAXCHARNAME];
00102   CHAR_DESC CharDesc;
00103   LINE_STATS LineStats;
00104 
00105   EnterLearnMode;
00106 
00107   // throw out blobs which do not represent only one character
00108   if (TextLength != 1)
00109     return;
00110 
00111   GetLineStatsFromRow(Row, &LineStats); 
00112 
00113   CharDesc = ExtractBlobFeatures (Blob, &LineStats);
00114 
00115   // if a feature file is not yet open, open it
00116   // the name of the file is the name of the image plus TRAIN_SUFFIX
00117   if (FeatureFile == NULL) {
00118     strcpy(Filename, imagefile); 
00119     strcat(Filename, TRAIN_SUFFIX); 
00120     FeatureFile = Efopen (Filename, "w");
00121 
00122     cprintf ("TRAINING ... Font name = %s.\n", FontName);
00123   }
00124 
00125   // get the name of the character for this blob
00126   chartoname (CharName, BlobText[0], "");
00127 
00128   // label the features with a class name and font name
00129   fprintf (FeatureFile, "\n%s %s ", FontName, CharName);
00130 
00131   // write micro-features to file and clean up
00132   WriteCharDescription(FeatureFile, CharDesc); 
00133   FreeCharDescription(CharDesc); 
00134 
00135 }                                // LearnBlob


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