Leptonica 1.68
C Image Processing Library

jbclass.c File Reference

data extraction from a set of pages for jbig2 compression More...

#include <string.h>
#include <math.h>
#include "allheaders.h"

Go to the source code of this file.

Data Structures

struct  JbFindTemplatesState

Defines

#define L_BUF_SIZE   512
#define MAX_ALLOWED_DILATION   14
#define DEBUG_PLOT_CC   0
#define DEBUG_CORRELATION_SCORE   0

Typedefs

typedef struct JbFindTemplatesState JBFINDCTX

Functions

static JBCLASSERjbCorrelationInitInternal (l_int32 components, l_int32 maxwidth, l_int32 maxheight, l_float32 thresh, l_float32 weightfactor, l_int32 keep_components)
static JBFINDCTXfindSimilarSizedTemplatesInit (JBCLASSER *classer, PIX *pixs)
static l_int32 findSimilarSizedTemplatesNext (JBFINDCTX *context)
static void findSimilarSizedTemplatesDestroy (JBFINDCTX **pcontext)
static l_int32 finalPositioningForAlignment (PIX *pixs, l_int32 x, l_int32 y, l_int32 idelx, l_int32 idely, PIX *pixt, l_int32 *sumtab, l_int32 *pdx, l_int32 *pdy)
JBCLASSERjbRankHausInit (l_int32 components, l_int32 maxwidth, l_int32 maxheight, l_int32 size, l_float32 rank)
JBCLASSERjbCorrelationInit (l_int32 components, l_int32 maxwidth, l_int32 maxheight, l_float32 thresh, l_float32 weightfactor)
JBCLASSERjbCorrelationInitWithoutComponents (l_int32 components, l_int32 maxwidth, l_int32 maxheight, l_float32 thresh, l_float32 weightfactor)
l_int32 jbAddPages (JBCLASSER *classer, SARRAY *safiles)
l_int32 jbAddPage (JBCLASSER *classer, PIX *pixs)
l_int32 jbAddPageComponents (JBCLASSER *classer, PIX *pixs, BOXA *boxas, PIXA *pixas)
l_int32 jbClassifyRankHaus (JBCLASSER *classer, BOXA *boxa, PIXA *pixas)
l_int32 pixHaustest (PIX *pix1, PIX *pix2, PIX *pix3, PIX *pix4, l_float32 delx, l_float32 dely, l_int32 maxdiffw, l_int32 maxdiffh)
l_int32 pixRankHaustest (PIX *pix1, PIX *pix2, PIX *pix3, PIX *pix4, l_float32 delx, l_float32 dely, l_int32 maxdiffw, l_int32 maxdiffh, l_int32 area1, l_int32 area3, l_float32 rank, l_int32 *tab8)
l_int32 jbClassifyCorrelation (JBCLASSER *classer, BOXA *boxa, PIXA *pixas)
l_int32 jbGetComponents (PIX *pixs, l_int32 components, l_int32 maxwidth, l_int32 maxheight, BOXA **pboxad, PIXA **ppixad)
PIXpixWordMaskByDilation (PIX *pixs, l_int32 maxsize, l_int32 *psize)
PIXAjbAccumulateComposites (PIXAA *pixaa, NUMA **pna, PTA **pptat)
PIXAjbTemplatesFromComposites (PIXA *pixac, NUMA *na)
JBCLASSERjbClasserCreate (l_int32 method, l_int32 components)
void jbClasserDestroy (JBCLASSER **pclasser)
JBDATAjbDataSave (JBCLASSER *classer)
void jbDataDestroy (JBDATA **pdata)
l_int32 jbDataWrite (const char *rootout, JBDATA *jbdata)
JBDATAjbDataRead (const char *rootname)
PIXAjbDataRender (JBDATA *data, l_int32 debugflag)
l_int32 jbGetULCorners (JBCLASSER *classer, PIX *pixs, BOXA *boxa)
l_int32 jbGetLLCorners (JBCLASSER *classer)

Variables

static const l_int32 JB_ADDED_PIXELS = 6
static const l_int32 MAX_DIFF_WIDTH = 2
static const l_int32 MAX_DIFF_HEIGHT = 2
static const l_int32 MAX_CONN_COMP_WIDTH = 350
static const l_int32 MAX_CHAR_COMP_WIDTH = 350
static const l_int32 MAX_WORD_COMP_WIDTH = 1000
static const l_int32 MAX_COMP_HEIGHT = 120
static int two_by_two_walk [50]

Detailed Description

data extraction from a set of pages for jbig2 compression

   These are functions for unsupervised classification of
   collections of connected components -- either characters or
   words -- in binary images.  They can be used as image
   processing steps in jbig2 compression.

   Initialization

       JBCLASSER         *jbRankHausInit()      [rank hausdorff encoder]
       JBCLASSER         *jbCorrelationInit()   [correlation encoder]
       JBCLASSER         *jbCorrelationInitWithoutComponents()  [ditto]
       static JBCLASSER  *jbCorrelationInitInternal()

   Classify the pages

       l_int32     jbAddPages()
       l_int32     jbAddPage()
       l_int32     jbAddPageComponents()

   Rank hausdorff classifier

       l_int32     jbClassifyRankHaus()
       l_int32     pixHaustest()
       l_int32     pixRankHaustest()

   Binary correlation classifier

       l_int32     jbClassifyCorrelation()

   Determine the image components we start with

       l_int32     jbGetComponents()
       PIX        *pixWordMaskByDilation()

   Build grayscale composites (templates)

       PIXA       *jbAccumulateComposites
       PIXA       *jbTemplatesFromComposites

   Utility functions for Classer

       JBCLASSER  *jbClasserCreate()
       void        jbClasserDestroy()

   Utility functions for Data

       JBDATA     *jbDataSave()
       void        jbDataDestroy()
       l_int32     jbDataWrite()
       JBDATA     *jbDataRead()
       PIXA       *jbDataRender()
       l_int32     jbGetULCorners()
       l_int32     jbGetLLCorners()

   Static helpers

       static JBFINDCTX *findSimilarSizedTemplatesInit()
       static l_int32    findSimilarSizedTemplatesNext()
       static void       findSimilarSizedTemplatesDestroy()
       static l_int32    finalPositioningForAlignment()

   Note: this is NOT an implementation of the JPEG jbig2
   proposed standard encoder, the specifications for which
   can be found at http://www.jpeg.org/jbigpt2.html.
   (See below for a full implementation.)
   It is an implementation of the lower-level part of an encoder that:

      (1) identifies connected components that are going to be used
      (2) puts them in similarity classes (this is an unsupervised
          classifier), and
      (3) stores the result in a simple file format (2 files,
          one for templates and one for page/coordinate/template-index
          quartets).

   An actual implementation of the official jbig2 encoder could
   start with parts (1) and (2), and would then compress the quartets
   according to the standards requirements (e.g., Huffman or
   arithmetic coding of coordinate differences and image templates).

   The low-level part of the encoder provided here has the
   following useful features:

       - It is accurate in the identification of templates
         and classes because it uses a windowed hausdorff
         distance metric.
       - It is accurate in the placement of the connected
         components, doing a two step process of first aligning
         the the centroids of the template with those of each instance,
         and then making a further correction of up to +- 1 pixel
         in each direction to best align the templates.
       - It is fast because it uses a morphologically based
         matching algorithm to implement the hausdorff criterion,
         and it selects the patterns that are possible matches
         based on their size.

   We provide two different matching functions, one using Hausdorff
   distance and one using a simple image correlation.
   The Hausdorff method sometimes produces better results for the
   same number of classes, because it gives a relatively small
   effective weight to foreground pixels near the boundary,
   and a relatively  large weight to foreground pixels that are
   not near the boundary.  By effectively ignoring these boundary
   pixels, Hausdorff weighting corresponds better to the expected
   probabilities of the pixel values in a scanned image, where the
   variations in instances of the same printed character are much
   more likely to be in pixels near the boundary.  By contrast,
   the correlation method gives equal weight to all foreground pixels.

   For best results, use the correlation method.  Correlation takes
   the number of fg pixels in the AND of instance and template,
   divided by the product of the number of fg pixels in instance
   and template.  It compares this with a threshold that, in
   general, depends on the fractional coverage of the template.
   For heavy text, the threshold is raised above that for light
   text,  By using both these parameters (basic threshold and
   adjustment factor for text weight), one has more flexibility
   and can arrive at the fewest substitution errors, although
   this comes at the price of more templates.

   The strict Hausdorff scoring is not a rank weighting, because a
   single pixel beyond the given distance will cause a match
   failure.  A rank Hausdorff is more robust to non-boundary noise,
   but it is also more susceptible to confusing components that
   should be in different classes.  For implementing a jbig2
   application for visually lossless binary image compression,
   you have two choices:

      (1) use a 3x3 structuring element (size = 3) and a strict
          Hausdorff comparison (rank = 1.0 in the rank Hausdorff
          function).  This will result in a minimal number of classes,
          but confusion of small characters, such as italic and
          non-italic lower-case 'o', can still occur.
      (2) use the correlation method with a threshold of 0.85
          and a weighting factor of about 0.7.  This will result in
          a larger number of classes, but should not be confused
          either by similar small characters or by extremely
          thick sans serif characters, such as in prog/cootoots.png.

   As mentioned above, if visual substitution errors must be
   avoided, you should use the correlation method.

   We provide executables that show how to do the encoding:
       prog/jbrankhaus.c
       prog/jbcorrelation.c

   The basic flow for correlation classification goes as follows,
   where specific choices have been made for parameters (Hausdorff
   is the same except for initialization):

           // Initialize and save data in the classer
       JBCLASSER *classer =
           jbCorrelationInit(JB_CONN_COMPS, 0, 0, 0.8, 0.7);
       SARRAY *safiles = getSortedPathnamesInDirectory(directory,
                                                       NULL, 0, 0);
       jbAddPages(classer, safiles);

           // Save the data in a data structure for serialization,
           // and write it into two files.
       JBDATA *data = jbDataSave(classer);
       jbDataWrite(rootname, data);

           // Reconstruct (render) the pages from the encoded data.
       PIXA *pixa = jbDataRender(data, FALSE);

   Adam Langley has recently built a jbig2 standards-compliant
   encoder, the first one to appear in open source.  You can get
   this encoder at:

        http://www.imperialviolet.org/jbig2.html

   It uses arithmetic encoding throughout.  It encodes binary images
   losslessly with a single arithmetic coding over the full image.
   It also does both lossy and lossless encoding from connected
   components, using leptonica to generate the templates representing
   each cluster.

Definition in file jbclass.c.


Define Documentation

#define L_BUF_SIZE   512

Definition at line 201 of file jbclass.c.

Referenced by jbDataRead(), and jbDataWrite().

#define MAX_ALLOWED_DILATION   14

Definition at line 227 of file jbclass.c.

Referenced by pixWordMaskByDilation().

#define DEBUG_PLOT_CC   0

Definition at line 257 of file jbclass.c.

#define DEBUG_CORRELATION_SCORE   0

Definition at line 258 of file jbclass.c.


Typedef Documentation

Definition at line 240 of file jbclass.c.


Function Documentation

static JBFINDCTX * findSimilarSizedTemplatesInit ( JBCLASSER classer,
PIX pixs 
) [static]

findSimilarSizedTemplatesInit()

Input: classer pixs (instance to be matched) Return: Allocated context to be used with findSimilar*

Definition at line 2246 of file jbclass.c.

References CALLOC, JbFindTemplatesState::classer, JbFindTemplatesState::h, JB_ADDED_PIXELS, pixGetHeight(), pixGetWidth(), and JbFindTemplatesState::w.

Referenced by jbClassifyCorrelation(), and jbClassifyRankHaus().

static l_int32 findSimilarSizedTemplatesNext ( JBFINDCTX state) [static]

findSimilarSizedTemplatesNext()

Input: state (from findSimilarSizedTemplatesInit) Return: Next template number, or -1 when finished

We have a hash table mapping template area to a list of template numbers with that area. We wish to find similar sized templates, so we first look for templates with the same width and height, and then with width + 1, etc. This walk is guided by the two_by_two_walk array, above.

We don't want to have to collect the whole list of templates first because (we hope) to find it quickly. So we keep the context for this walk in an explictit state structure and this function acts like a generator.

Definition at line 2298 of file jbclass.c.

References Numa::array, JbFindTemplatesState::classer, JbFindTemplatesState::h, JbFindTemplatesState::i, JB_ADDED_PIXELS, L_CLONE, JbFindTemplatesState::n, JbClasser::nahash, JbFindTemplatesState::numa, numaDestroy(), numaGetCount(), numaHashGetNuma(), pixaGetPix(), JbClasser::pixat, pixDestroy(), pixGetHeight(), pixGetWidth(), size, two_by_two_walk, and JbFindTemplatesState::w.

Referenced by jbClassifyCorrelation(), and jbClassifyRankHaus().

static void findSimilarSizedTemplatesDestroy ( JBFINDCTX **  pcontext) [static]

Definition at line 2261 of file jbclass.c.

References FREE, L_WARNING, NULL, JbFindTemplatesState::numa, numaDestroy(), and PROCNAME.

Referenced by jbClassifyCorrelation(), and jbClassifyRankHaus().

static l_int32 finalPositioningForAlignment ( PIX pixs,
l_int32  x,
l_int32  y,
l_int32  idelx,
l_int32  idely,
PIX pixt,
l_int32 sumtab,
l_int32 pdx,
l_int32 pdy 
) [static]

finalPositioningForAlignment()

Input: pixs (input page image) x, y (location of UL corner of bb of component in pixs) idelx, idely (compensation to match centroids of component and template) pixt (template, with JB_ADDED_PIXELS of padding on all sides) sumtab (for summing fg pixels in an image) &dx, &dy (return delta on position for best match; each one is in the set {-1, 0, 1}) Return: 0 if OK, 1 on error

Definition at line 2363 of file jbclass.c.

References boxCreate(), boxDestroy(), ERROR_INT, JbFindTemplatesState::h, JbFindTemplatesState::i, JB_ADDED_PIXELS, NULL, PIX_DST, PIX_SRC, pixClipRectangle(), pixCopy(), pixCountPixels(), pixCreate(), pixDestroy(), pixGetHeight(), pixGetWidth(), pixRasterop(), PROCNAME, and JbFindTemplatesState::w.

Referenced by jbGetULCorners().

JBCLASSER* jbRankHausInit ( l_int32  components,
l_int32  maxwidth,
l_int32  maxheight,
l_int32  size,
l_float32  rank 
)

jbRankHausInit()

Input: components (JB_CONN_COMPS, JB_CHARACTERS, JB_WORDS) maxwidth (of component; use 0 for default) maxheight (of component; use 0 for default) size (of square structuring element; 2, representing 2x2 sel, is necessary for reasonable accuracy of small components; combine this with rank ~ 0.97 to avoid undue class expansion) rank (rank val of match, each way; in [0.5 - 1.0]; when using size = 2, 0.97 is a reasonable value) Return: jbclasser if OK; NULL on error

Definition at line 280 of file jbclass.c.

References JbFindTemplatesState::classer, ERROR_PTR, JB_CHARACTERS, JB_CONN_COMPS, JB_RANKHAUS, JB_WORDS, jbClasserCreate(), MAX_CHAR_COMP_WIDTH, MAX_COMP_HEIGHT, MAX_CONN_COMP_WIDTH, MAX_WORD_COMP_WIDTH, JbClasser::maxheight, JbClasser::maxwidth, JbClasser::nahash, NULL, numaHashCreate(), PROCNAME, JbClasser::rankhaus, size, and JbClasser::sizehaus.

Referenced by jbRankHaus(), and main().

JBCLASSER* jbCorrelationInit ( l_int32  components,
l_int32  maxwidth,
l_int32  maxheight,
l_float32  thresh,
l_float32  weightfactor 
)

jbCorrelationInit()

Input: components (JB_CONN_COMPS, JB_CHARACTERS, JB_WORDS) maxwidth (of component; use 0 for default) maxheight (of component; use 0 for default) thresh (value for correlation score: in [0.4 - 0.98]) weightfactor (corrects thresh for thick characters [0.0 - 1.0]) Return: jbclasser if OK; NULL on error

Notes: (1) For scanned text, suggested input values are: thresh ~ [0.8 - 0.85] weightfactor ~ [0.5 - 0.6] (2) For electronically generated fonts (e.g., rasterized pdf), a very high thresh (e.g., 0.95) will not cause a significant increase in the number of classes.

Definition at line 338 of file jbclass.c.

References jbCorrelationInitInternal().

Referenced by jbCorrelation(), jbWordsInTextlines(), and main().

JBCLASSER* jbCorrelationInitWithoutComponents ( l_int32  components,
l_int32  maxwidth,
l_int32  maxheight,
l_float32  thresh,
l_float32  weightfactor 
)

jbCorrelationInitWithoutComponents()

Input: same as jbCorrelationInit Output: same as jbCorrelationInit

Note: acts the same as jbCorrelationInit(), but the resulting object doesn't keep a list of all the components.

Definition at line 358 of file jbclass.c.

References jbCorrelationInitInternal().

l_int32 jbAddPages ( JBCLASSER classer,
SARRAY safiles 
)

jbAddPages()

Input: jbclasser safiles (of page image file names) Return: 0 if OK; 1 on error

Note: (1) jbclasser makes a copy of the array of file names. (2) The caller is still responsible for destroying the input array.

Definition at line 429 of file jbclass.c.

References ERROR_INT, JbFindTemplatesState::i, jbAddPage(), L_WARNING_INT, nfiles, NULL, pixDestroy(), pixGetDepth(), pixRead(), PROCNAME, JbClasser::safiles, sarrayCopy(), sarrayGetCount(), and sarrayGetString().

Referenced by jbCorrelation(), jbRankHaus(), and main().

l_int32 jbAddPage ( JBCLASSER classer,
PIX pixs 
)
l_int32 jbAddPageComponents ( JBCLASSER classer,
PIX pixs,
BOXA boxas,
PIXA pixas 
)

jbAddPageComponents()

Input: jbclasser pixs (of input page) boxas (b.b. of components for this page) pixas (components for this page) Return: 0 if OK; 1 on error

Notes: (1) If there are no components on the page, we don't require input of empty boxas or pixas, although that's the typical situation.

Definition at line 514 of file jbclass.c.

References JbClasser::baseindex, boxaGetCount(), ERROR_INT, JB_RANKHAUS, jbClassifyCorrelation(), jbClassifyRankHaus(), jbGetULCorners(), JbClasser::method, JbFindTemplatesState::n, JbClasser::nacomps, JbClasser::npages, numaAddNumber(), and PROCNAME.

Referenced by jbAddPage(), and jbWordsInTextlines().

l_int32 pixHaustest ( PIX pix1,
PIX pix2,
PIX pix3,
PIX pix4,
l_float32  delx,
l_float32  dely,
l_int32  maxdiffw,
l_int32  maxdiffh 
)

pixHaustest()

Input: pix1 (new pix, not dilated) pix2 (new pix, dilated) pix3 (exemplar pix, not dilated) pix4 (exemplar pix, dilated) delx (x comp of centroid difference) dely (y comp of centroid difference) maxdiffw (max width difference of pix1 and pix2) maxdiffh (max height difference of pix1 and pix2) Return: 0 (FALSE) if no match, 1 (TRUE) if the new pix is in the same class as the exemplar.

Note: we check first that the two pix are roughly the same size. Only if they meet that criterion do we compare the bitmaps. The Hausdorff is a 2-way check. The centroid difference is used to align the two images to the nearest integer for each of the checks. These check that the dilated image of one contains ALL the pixels of the undilated image of the other. Checks are done in both direction. A single pixel not contained in either direction results in failure of the test.

Definition at line 833 of file jbclass.c.

References FALSE, L_ABS, PIX_DST, PIX_NOT, PIX_SRC, pixCreateTemplate(), pixDestroy(), pixGetHeight(), pixGetWidth(), pixRasterop(), and pixZero().

Referenced by jbClassifyRankHaus().

l_int32 pixRankHaustest ( PIX pix1,
PIX pix2,
PIX pix3,
PIX pix4,
l_float32  delx,
l_float32  dely,
l_int32  maxdiffw,
l_int32  maxdiffh,
l_int32  area1,
l_int32  area3,
l_float32  rank,
l_int32 tab8 
)

pixRankHaustest()

Input: pix1 (new pix, not dilated) pix2 (new pix, dilated) pix3 (exemplar pix, not dilated) pix4 (exemplar pix, dilated) delx (x comp of centroid difference) dely (y comp of centroid difference) maxdiffw (max width difference of pix1 and pix2) maxdiffh (max height difference of pix1 and pix2) area1 (fg pixels in pix1) area3 (fg pixels in pix3) rank (rank value of test, each way) tab8 (table of pixel sums for byte) Return: 0 (FALSE) if no match, 1 (TRUE) if the new pix is in the same class as the exemplar.

Note: we check first that the two pix are roughly the same size. Only if they meet that criterion do we compare the bitmaps. We convert the rank value to a number of pixels by multiplying the rank fraction by the number of pixels in the undilated image. The Hausdorff is a 2-way check. The centroid difference is used to align the two images to the nearest integer for each of the checks. The rank hausdorff checks that the dilated image of one contains the rank fraction of the pixels of the undilated image of the other. Checks are done in both direction. Failure of the test in either direction results in failure of the test.

Definition at line 928 of file jbclass.c.

References FALSE, L_ABS, PIX_DST, PIX_NOT, PIX_SRC, pixCreateTemplate(), pixDestroy(), pixGetHeight(), pixGetWidth(), pixRasterop(), pixThresholdPixelSum(), and TRUE.

Referenced by jbClassifyRankHaus().

l_int32 jbGetComponents ( PIX pixs,
l_int32  components,
l_int32  maxwidth,
l_int32  maxheight,
BOXA **  pboxad,
PIXA **  ppixad 
)

jbGetComponents()

Input: pixs (1 bpp) components (JB_CONN_COMPS, JB_CHARACTERS, JB_WORDS) maxwidth, maxheight (of saved components; larger are discarded) &pboxa (<return> b.b. of component items) &ppixa (<return> component items) Return: 0 if OK, 1 on error

Definition at line 1292 of file jbclass.c.

References boxaCreate(), boxaDestroy(), boxaSelectBySize(), ERROR_INT, JB_CHARACTERS, JB_CONN_COMPS, JB_WORDS, L_SELECT_IF_BOTH, L_SELECT_IF_LTE, NULL, pixaClipToPix(), pixaCreate(), pixaDestroy(), pixaSelectBySize(), pixClone(), pixConnComp(), pixDestroy(), pixExpandReplicate(), pixGetXRes(), pixMorphSequence(), pixReduceRankBinaryCascade(), pixWordMaskByDilation(), pixZero(), and PROCNAME.

Referenced by jbAddPage().

PIX* pixWordMaskByDilation ( PIX pixs,
l_int32  maxsize,
l_int32 psize 
)

pixWordMaskByDilation()

Input: pixs (1 bpp; typ. at 75 to 150 ppi) maxsize (use 0 for default; not to exceed 14) &size (<optional return>=""> size of optimal horiz Sel) Return: pixd (dilated word mask), or null on error

Notes: (1) For 75 to 150 ppi, the optimal dilation should not exceed 7. This is the default size chosen if maxsize <= 0. (2) To run this on images at resolution between 200 and 300, it is advisable to use a larger maxsize, say between 10 and 14. (3) The best size for dilating to get word masks is optionally returned.

Definition at line 1420 of file jbclass.c.

References boxaDestroy(), boxaGetCount(), ERROR_PTR, GPLOT_LINES, GPLOT_PNG, gplotAddPlot(), gplotCreate(), gplotDestroy(), gplotMakeOutput(), JbFindTemplatesState::i, L_CLONE, L_COPY, MAX_ALLOWED_DILATION, maxsize, NULL, numaAddNumber(), numaCreate(), numaDestroy(), numaGetCount(), numaMakeSequence(), pixaAddPix(), pixaCreate(), pixaDestroy(), pixaGetPix(), pixConnCompBB(), pixCopy(), pixDestroy(), pixErode(), pixMorphSequence(), PROCNAME, SEL_HIT, selCreateBrick(), and selDestroy().

Referenced by jbGetComponents(), pixGetWordBoxesInTextlines(), and pixGetWordsInTextlines().

PIXA* jbAccumulateComposites ( PIXAA pixaa,
NUMA **  pna,
PTA **  pptat 
)

jbAccumulateComposites()

Input: pixaa (one pixa for each class) &pna (<return> number of samples used to build each composite) &ptat (<return> centroids of bordered composites) Return: pixad (accumulated sum of samples in each class), or null on error

Definition at line 1522 of file jbclass.c.

References ERROR_PTR, JbFindTemplatesState::i, L_ARITH_ADD, L_CLONE, L_INSERT, L_WARNING, JbFindTemplatesState::n, NULL, numaAddNumber(), numaCreate(), PIX_SRC, pixaAddPix(), pixaaGetCount(), pixaaGetPixa(), pixAccumulate(), pixaCentroids(), pixaCreate(), pixaDestroy(), pixaGetCount(), pixaGetPix(), pixaSizeRange(), pixClearAll(), pixCreate(), pixDestroy(), pixGetDepth(), pixInitAccumulate(), pixRasterop(), PROCNAME, ptaAddPt(), ptaCreate(), ptaDestroy(), and ptaGetPt().

PIXA* jbTemplatesFromComposites ( PIXA pixac,
NUMA na 
)

jbTemplatesFromComposites()

Input: pixac (one pix of composites for each class) na (number of samples used for each class composite) Return: pixad (8 bpp templates for each class), or null on error

Definition at line 1612 of file jbclass.c.

References ERROR_PTR, JbFindTemplatesState::i, L_COPY, L_INSERT, JbFindTemplatesState::n, NULL, numaGetFValue(), pixaAddPix(), pixaCreate(), pixaGetCount(), pixaGetPix(), pixDestroy(), pixFinalAccumulate(), pixMultConstAccumulate(), and PROCNAME.

JBDATA* jbDataSave ( JBCLASSER classer)

jbDataSave()

Input: jbclasser latticew, latticeh (cell size used to store each connected component in the composite) Return: jbdata, or null on error

Notes: (1) This routine stores the jbig2-type data required for generating a lossy jbig2 version of the image. It can be losslessly written to (and read from) two files. (2) It generates and stores the mosaic of templates. (3) It clones the Numa and Pta arrays, so these must all be destroyed by the caller. (4) Input 0 to use the default values for latticew and/or latticeh,

Definition at line 1744 of file jbclass.c.

References CALLOC, ERROR_PTR, JbClasser::h, JbData::h, JbData::latticeh, JbData::latticew, JbClasser::naclass, JbData::naclass, JbClasser::napage, JbData::napage, JbClasser::nclass, JbData::nclass, JbClasser::npages, JbData::npages, NULL, numaClone(), JbData::pix, pixaDisplayOnLattice(), pixaSizeRange(), JbClasser::pixat, PROCNAME, ptaClone(), JbClasser::ptaul, JbData::ptaul, JbClasser::w, and JbData::w.

Referenced by jbCorrelation(), jbRankHaus(), and main().

void jbDataDestroy ( JBDATA **  pdata)
l_int32 jbDataWrite ( const char *  rootout,
JBDATA jbdata 
)

jbDataWrite()

Input: rootname (for output files; everything but the extension) jbdata Return: 0 if OK, 1 on error

Notes: (1) Serialization function that writes data in jbdata to file.

Definition at line 1815 of file jbclass.c.

References buf, ERROR_INT, fopenWriteStream(), JbData::h, JbFindTemplatesState::h, JbFindTemplatesState::i, IFF_PNG, JB_DATA_EXT, JB_TEMPLATE_EXT, L_BUF_SIZE, JbData::latticeh, JbData::latticew, JbData::naclass, JbData::napage, JbData::nclass, JbData::npages, NULL, numaGetIValue(), JbData::pix, pixWrite(), PROCNAME, ptaGetCount(), ptaGetIPt(), JbData::ptaul, JbData::w, and JbFindTemplatesState::w.

Referenced by jbCorrelation(), jbRankHaus(), and main().

l_int32 jbGetULCorners ( JBCLASSER classer,
PIX pixs,
BOXA boxa 
)

jbGetULCorners()

Input: jbclasser pixs (full res image) boxa (of c.c. bounding rectangles for this page) Return: 0 if OK, 1 on error

Notes: (1) This computes the ptaul field, which has the global UL corners, adjusted for each specific component, so that each component can be replaced by the template for its class and have the centroid in the template in the same position as the centroid of the original connected component. It is important that this be done properly to avoid a wavy baseline in the result. (2) The array fields ptac and ptact give the centroids of those components relative to the UL corner of each component. Here, we compute the difference in each component, round to nearest integer, and correct the box->x and box->y by the appropriate integral difference. (3) The templates and stored instances are all bordered.

Definition at line 2075 of file jbclass.c.

References JbClasser::baseindex, boxaGetBox(), boxaGetCount(), boxDestroy(), boxGetGeometry(), ERROR_INT, finalPositioningForAlignment(), FREE, JbFindTemplatesState::i, L_CLONE, makePixelSumTab8(), JbFindTemplatesState::n, JbClasser::naclass, NULL, numaGetIValue(), pixaGetPix(), JbClasser::pixat, pixDestroy(), PROCNAME, ptaAddPt(), JbClasser::ptac, JbClasser::ptact, ptaGetPt(), JbClasser::ptaul, x1, x2, y1, and y2.

Referenced by jbAddPageComponents().

l_int32 jbGetLLCorners ( JBCLASSER classer)

jbGetLLCorners()

Input: jbclasser Return: 0 if OK, 1 on error

Notes: (1) This computes the ptall field, which has the global LL corners, adjusted for each specific component, so that each component can be replaced by the template for its class and have the centroid in the template in the same position as the centroid of the original connected component. It is important that this be done properly to avoid a wavy baseline in the result. (2) It is computed here from the corresponding UL corners, where the input templates and stored instances are all bordered. This should be done after all pages have been processed. (3) For proper substitution, the templates whose LL corners are placed in these locations must be UN-bordered. This is available for a realistic jbig2 encoder, which would (1) encode each template without a border, and (2) encode the position using the LL corner (rather than the UL corner) because the difference between y-values of successive instances is typically close to zero.

Definition at line 2163 of file jbclass.c.

References ERROR_INT, JbFindTemplatesState::h, JbFindTemplatesState::i, JB_ADDED_PIXELS, L_CLONE, JbFindTemplatesState::n, JbClasser::naclass, numaGetIValue(), pixaGetPix(), JbClasser::pixat, pixDestroy(), pixGetHeight(), PROCNAME, ptaAddPt(), ptaCreate(), ptaDestroy(), ptaGetCount(), ptaGetIPt(), JbClasser::ptall, JbClasser::ptaul, x1, and y1.


Variable Documentation

const l_int32 MAX_DIFF_WIDTH = 2 [static]

Definition at line 211 of file jbclass.c.

Referenced by jbClassifyCorrelation(), and jbClassifyRankHaus().

const l_int32 MAX_DIFF_HEIGHT = 2 [static]

Definition at line 212 of file jbclass.c.

Referenced by jbClassifyCorrelation(), and jbClassifyRankHaus().

const l_int32 MAX_CONN_COMP_WIDTH = 350 [static]

Definition at line 221 of file jbclass.c.

Referenced by jbCorrelationInitInternal(), and jbRankHausInit().

const l_int32 MAX_CHAR_COMP_WIDTH = 350 [static]

Definition at line 222 of file jbclass.c.

Referenced by jbCorrelationInitInternal(), and jbRankHausInit().

const l_int32 MAX_WORD_COMP_WIDTH = 1000 [static]

Definition at line 223 of file jbclass.c.

Referenced by jbCorrelationInitInternal(), and jbRankHausInit().

const l_int32 MAX_COMP_HEIGHT = 120 [static]

Definition at line 224 of file jbclass.c.

Referenced by jbCorrelationInitInternal(), and jbRankHausInit().

int two_by_two_walk[50] [static]
Initial value:
 {
  0, 0,
  0, 1,
  -1, 0,
  0, -1,
  1, 0,
  -1, 1,
  1, 1,
  -1, -1,
  1, -1,
  0, -2,
  2, 0,
  0, 2,
  -2, 0,
  -1, -2,
  1, -2,
  2, -1,
  2, 1,
  1, 2,
  -1, 2,
  -2, 1,
  -2, -1,
  -2, -2,
  2, -2,
  2, 2,
  -2, 2}

Definition at line 2210 of file jbclass.c.

Referenced by findSimilarSizedTemplatesNext().

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