tesseract/classify/clusttool.cpp
2016-11-07 10:46:33 -08:00

467 lines
15 KiB
C++

/******************************************************************************
** Filename: clustertool.c
** Purpose: Misc. tools for use with the clustering routines
** Author: Dan Johnson
** History: 6/6/89, DSJ, Created.
**
** (c) Copyright Hewlett-Packard Company, 1988.
** Licensed under the Apache License, Version 2.0 (the "License");
** you may not use this file except in compliance with the License.
** You may obtain a copy of the License at
** http://www.apache.org/licenses/LICENSE-2.0
** Unless required by applicable law or agreed to in writing, software
** distributed under the License is distributed on an "AS IS" BASIS,
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
** See the License for the specific language governing permissions and
** limitations under the License.
******************************************************************************/
//--------------------------Include Files----------------------------------
#include "clusttool.h"
#include "const.h"
#include "danerror.h"
#include "emalloc.h"
#include "scanutils.h"
#include <stdio.h>
#include <math.h>
//---------------Global Data Definitions and Declarations--------------------
#define TOKENSIZE 80 //< max size of tokens read from an input file
#define MAXSAMPLESIZE 65535 //< max num of dimensions in feature space
//#define MAXBLOCKSIZE 65535 //< max num of samples in a character (block
// size)
/**
* This routine reads a single integer from the specified
* file and checks to ensure that it is between 0 and
* MAXSAMPLESIZE.
* @param File open text file to read sample size from
* @return Sample size
* @note Globals: None
* @note Exceptions: ILLEGALSAMPLESIZE illegal format or range
* @note History: 6/6/89, DSJ, Created.
*/
uinT16 ReadSampleSize(FILE *File) {
int SampleSize;
if ((tfscanf(File, "%d", &SampleSize) != 1) ||
(SampleSize < 0) || (SampleSize > MAXSAMPLESIZE))
DoError (ILLEGALSAMPLESIZE, "Illegal sample size");
return (SampleSize);
}
/**
* This routine reads textual descriptions of sets of parameters
* which describe the characteristics of feature dimensions.
*
* Exceptions:
* - ILLEGALCIRCULARSPEC
* - ILLEGALESSENTIALSPEC
* - ILLEGALMINMAXSPEC
* @param File open text file to read N parameter descriptions from
* @param N number of parameter descriptions to read
* @return Pointer to an array of parameter descriptors.
* @note Globals: None
* @note History: 6/6/89, DSJ, Created.
*/
PARAM_DESC *ReadParamDesc(FILE *File, uinT16 N) {
int i;
PARAM_DESC *ParamDesc;
char Token[TOKENSIZE];
ParamDesc = (PARAM_DESC *) Emalloc (N * sizeof (PARAM_DESC));
for (i = 0; i < N; i++) {
if (tfscanf(File, "%s", Token) != 1)
DoError (ILLEGALCIRCULARSPEC,
"Illegal circular/linear specification");
if (Token[0] == 'c')
ParamDesc[i].Circular = TRUE;
else
ParamDesc[i].Circular = FALSE;
if (tfscanf(File, "%s", Token) != 1)
DoError (ILLEGALESSENTIALSPEC,
"Illegal essential/non-essential spec");
if (Token[0] == 'e')
ParamDesc[i].NonEssential = FALSE;
else
ParamDesc[i].NonEssential = TRUE;
if (tfscanf(File, "%f%f", &(ParamDesc[i].Min), &(ParamDesc[i].Max)) != 2)
DoError (ILLEGALMINMAXSPEC, "Illegal min or max specification");
ParamDesc[i].Range = ParamDesc[i].Max - ParamDesc[i].Min;
ParamDesc[i].HalfRange = ParamDesc[i].Range / 2;
ParamDesc[i].MidRange = (ParamDesc[i].Max + ParamDesc[i].Min) / 2;
}
return (ParamDesc);
}
/**
* This routine reads a textual description of a prototype from
* the specified file.
*
* Exceptions:
* - ILLEGALSIGNIFICANCESPEC
* - ILLEGALSAMPLECOUNT
* - ILLEGALMEANSPEC
* - ILLEGALVARIANCESPEC
* - ILLEGALDISTRIBUTION
* @param File open text file to read prototype from
* @param N number of dimensions used in prototype
* @return List of prototypes
* @note Globals: None
* @note History: 6/6/89, DSJ, Created.
*/
PROTOTYPE *ReadPrototype(FILE *File, uinT16 N) {
char Token[TOKENSIZE];
int Status;
PROTOTYPE *Proto;
int SampleCount;
int i;
if ((Status = tfscanf(File, "%s", Token)) == 1) {
Proto = (PROTOTYPE *) Emalloc (sizeof (PROTOTYPE));
Proto->Cluster = NULL;
if (Token[0] == 's')
Proto->Significant = TRUE;
else
Proto->Significant = FALSE;
Proto->Style = ReadProtoStyle (File);
if ((tfscanf(File, "%d", &SampleCount) != 1) || (SampleCount < 0))
DoError (ILLEGALSAMPLECOUNT, "Illegal sample count");
Proto->NumSamples = SampleCount;
Proto->Mean = ReadNFloats (File, N, NULL);
if (Proto->Mean == NULL)
DoError (ILLEGALMEANSPEC, "Illegal prototype mean");
switch (Proto->Style) {
case spherical:
if (ReadNFloats (File, 1, &(Proto->Variance.Spherical)) == NULL)
DoError (ILLEGALVARIANCESPEC, "Illegal prototype variance");
Proto->Magnitude.Spherical =
1.0 / sqrt ((double) (2.0 * PI * Proto->Variance.Spherical));
Proto->TotalMagnitude =
pow (Proto->Magnitude.Spherical, (float) N);
Proto->LogMagnitude = log ((double) Proto->TotalMagnitude);
Proto->Weight.Spherical = 1.0 / Proto->Variance.Spherical;
Proto->Distrib = NULL;
break;
case elliptical:
Proto->Variance.Elliptical = ReadNFloats (File, N, NULL);
if (Proto->Variance.Elliptical == NULL)
DoError (ILLEGALVARIANCESPEC, "Illegal prototype variance");
Proto->Magnitude.Elliptical =
(FLOAT32 *) Emalloc (N * sizeof (FLOAT32));
Proto->Weight.Elliptical =
(FLOAT32 *) Emalloc (N * sizeof (FLOAT32));
Proto->TotalMagnitude = 1.0;
for (i = 0; i < N; i++) {
Proto->Magnitude.Elliptical[i] =
1.0 /
sqrt ((double) (2.0 * PI * Proto->Variance.Elliptical[i]));
Proto->Weight.Elliptical[i] =
1.0 / Proto->Variance.Elliptical[i];
Proto->TotalMagnitude *= Proto->Magnitude.Elliptical[i];
}
Proto->LogMagnitude = log ((double) Proto->TotalMagnitude);
Proto->Distrib = NULL;
break;
case mixed:
Proto->Distrib =
(DISTRIBUTION *) Emalloc (N * sizeof (DISTRIBUTION));
for (i = 0; i < N; i++) {
if (tfscanf(File, "%s", Token) != 1)
DoError (ILLEGALDISTRIBUTION,
"Illegal prototype distribution");
switch (Token[0]) {
case 'n':
Proto->Distrib[i] = normal;
break;
case 'u':
Proto->Distrib[i] = uniform;
break;
case 'r':
Proto->Distrib[i] = D_random;
break;
default:
DoError (ILLEGALDISTRIBUTION,
"Illegal prototype distribution");
}
}
Proto->Variance.Elliptical = ReadNFloats (File, N, NULL);
if (Proto->Variance.Elliptical == NULL)
DoError (ILLEGALVARIANCESPEC, "Illegal prototype variance");
Proto->Magnitude.Elliptical =
(FLOAT32 *) Emalloc (N * sizeof (FLOAT32));
Proto->Weight.Elliptical =
(FLOAT32 *) Emalloc (N * sizeof (FLOAT32));
Proto->TotalMagnitude = 1.0;
for (i = 0; i < N; i++) {
switch (Proto->Distrib[i]) {
case normal:
Proto->Magnitude.Elliptical[i] = 1.0 /
sqrt ((double)
(2.0 * PI * Proto->Variance.Elliptical[i]));
Proto->Weight.Elliptical[i] =
1.0 / Proto->Variance.Elliptical[i];
break;
case uniform:
case D_random:
Proto->Magnitude.Elliptical[i] = 1.0 /
(2.0 * Proto->Variance.Elliptical[i]);
break;
case DISTRIBUTION_COUNT:
ASSERT_HOST(!"Distribution count not allowed!");
}
Proto->TotalMagnitude *= Proto->Magnitude.Elliptical[i];
}
Proto->LogMagnitude = log ((double) Proto->TotalMagnitude);
break;
}
return (Proto);
}
else if (Status == EOF)
return (NULL);
else {
DoError (ILLEGALSIGNIFICANCESPEC, "Illegal significance specification");
return (NULL);
}
}
/**
* This routine reads an single token from the specified
* text file and interprets it as a prototype specification.
* @param File open text file to read prototype style from
* @return Prototype style read from text file
* @note Globals: None
* @note Exceptions: ILLEGALSTYLESPEC illegal prototype style specification
* @note History: 6/8/89, DSJ, Created.
*/
PROTOSTYLE ReadProtoStyle(FILE *File) {
char Token[TOKENSIZE];
PROTOSTYLE Style;
if (tfscanf(File, "%s", Token) != 1)
DoError (ILLEGALSTYLESPEC, "Illegal prototype style specification");
switch (Token[0]) {
case 's':
Style = spherical;
break;
case 'e':
Style = elliptical;
break;
case 'm':
Style = mixed;
break;
case 'a':
Style = automatic;
break;
default:
Style = elliptical;
DoError (ILLEGALSTYLESPEC, "Illegal prototype style specification");
}
return (Style);
}
/**
* This routine reads N floats from the specified text file
* and places them into Buffer. If Buffer is NULL, a buffer
* is created and passed back to the caller. If EOF is
* encountered before any floats can be read, NULL is
* returned.
* @param File open text file to read floats from
* @param N number of floats to read
* @param Buffer pointer to buffer to place floats into
* @return Pointer to buffer holding floats or NULL if EOF
* @note Globals: None
* @note Exceptions: ILLEGALFLOAT
* @note History: 6/6/89, DSJ, Created.
*/
FLOAT32* ReadNFloats(FILE * File, uinT16 N, FLOAT32 Buffer[]) {
bool needs_free = false;
int i;
int NumFloatsRead;
if (Buffer == NULL) {
Buffer = reinterpret_cast<FLOAT32*>(Emalloc(N * sizeof(FLOAT32)));
needs_free = true;
}
for (i = 0; i < N; i++) {
NumFloatsRead = tfscanf(File, "%f", &(Buffer[i]));
if (NumFloatsRead != 1) {
if ((NumFloatsRead == EOF) && (i == 0)) {
if (needs_free) {
Efree(Buffer);
}
return NULL;
} else {
DoError(ILLEGALFLOAT, "Illegal float specification");
}
}
}
return Buffer;
}
/**
* This routine writes an array of dimension descriptors to
* the specified text file.
* @param File open text file to write param descriptors to
* @param N number of param descriptors to write
* @param ParamDesc array of param descriptors to write
* @return None
* @note Globals: None
* @note Exceptions: None
* @note History: 6/6/89, DSJ, Created.
*/
void WriteParamDesc(FILE *File, uinT16 N, const PARAM_DESC ParamDesc[]) {
int i;
for (i = 0; i < N; i++) {
if (ParamDesc[i].Circular)
fprintf (File, "circular ");
else
fprintf (File, "linear ");
if (ParamDesc[i].NonEssential)
fprintf (File, "non-essential ");
else
fprintf (File, "essential ");
fprintf (File, "%10.6f %10.6f\n", ParamDesc[i].Min, ParamDesc[i].Max);
}
}
/**
* This routine writes a textual description of a prototype
* to the specified text file.
* @param File open text file to write prototype to
* @param N number of dimensions in feature space
* @param Proto prototype to write out
* @return None
* @note Globals: None
* @note Exceptions: None
* @note History: 6/12/89, DSJ, Created.
*/
void WritePrototype(FILE *File, uinT16 N, PROTOTYPE *Proto) {
int i;
if (Proto->Significant)
fprintf (File, "significant ");
else
fprintf (File, "insignificant ");
WriteProtoStyle (File, (PROTOSTYLE) Proto->Style);
fprintf (File, "%6d\n\t", Proto->NumSamples);
WriteNFloats (File, N, Proto->Mean);
fprintf (File, "\t");
switch (Proto->Style) {
case spherical:
WriteNFloats (File, 1, &(Proto->Variance.Spherical));
break;
case elliptical:
WriteNFloats (File, N, Proto->Variance.Elliptical);
break;
case mixed:
for (i = 0; i < N; i++)
switch (Proto->Distrib[i]) {
case normal:
fprintf (File, " %9s", "normal");
break;
case uniform:
fprintf (File, " %9s", "uniform");
break;
case D_random:
fprintf (File, " %9s", "random");
break;
case DISTRIBUTION_COUNT:
ASSERT_HOST(!"Distribution count not allowed!");
}
fprintf (File, "\n\t");
WriteNFloats (File, N, Proto->Variance.Elliptical);
}
}
/**
* This routine writes a text representation of N floats from
* an array to a file. All of the floats are placed on one line.
* @param File open text file to write N floats to
* @param N number of floats to write
* @param Array array of floats to write
* @return None
* @note Globals: None
* @note Exceptions: None
* @note History: 6/6/89, DSJ, Created.
*/
void WriteNFloats(FILE * File, uinT16 N, FLOAT32 Array[]) {
for (int i = 0; i < N; i++)
fprintf(File, " %9.6f", Array[i]);
fprintf(File, "\n");
}
/**
* This routine writes to the specified text file a word
* which represents the ProtoStyle. It does not append
* a carriage return to the end.
* @param File open text file to write prototype style to
* @param ProtoStyle prototype style to write
* @return None
* @note Globals: None
* @note Exceptions: None
* @note History: 6/8/89, DSJ, Created.
*/
void WriteProtoStyle(FILE *File, PROTOSTYLE ProtoStyle) {
switch (ProtoStyle) {
case spherical:
fprintf (File, "spherical");
break;
case elliptical:
fprintf (File, "elliptical");
break;
case mixed:
fprintf (File, "mixed");
break;
case automatic:
fprintf (File, "automatic");
break;
}
}
/**
* This routine writes a textual description of each prototype
* in the prototype list to the specified file. It also
* writes a file header which includes the number of dimensions
* in feature space and the descriptions for each dimension.
* @param File open text file to write prototypes to
* @param N number of dimensions in feature space
* @param ParamDesc descriptions for each dimension
* @param ProtoList list of prototypes to be written
* @param WriteSigProtos TRUE to write out significant prototypes
* @param WriteInsigProtos TRUE to write out insignificants
* @note Globals: None
* @return None
* @note Exceptions: None
* @note History: 6/12/89, DSJ, Created.
*/
void WriteProtoList(FILE *File, uinT16 N, PARAM_DESC ParamDesc[],
LIST ProtoList, BOOL8 WriteSigProtos,
BOOL8 WriteInsigProtos) {
PROTOTYPE *Proto;
/* write file header */
fprintf(File,"%0d\n",N);
WriteParamDesc(File,N,ParamDesc);
/* write prototypes */
iterate(ProtoList)
{
Proto = (PROTOTYPE *) first_node ( ProtoList );
if ((Proto->Significant && WriteSigProtos) ||
(!Proto->Significant && WriteInsigProtos))
WritePrototype(File, N, Proto);
}
}