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tesseract/textord/tordmain.cpp
joregan 5c8ad7ee72 add config_auto.h anywhere #ifndef GRAPHICS_DISABLED is used 
git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@384 d0cd1f9f-072b-0410-8dd7-cf729c803f20
2010-05-28 12:03:45 +00:00

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/**********************************************************************
* File: tordmain.cpp (Formerly textordp.c)
* Description: C++ top level textord code.
* Author: Ray Smith
* Created: Tue Jul 28 17:12:33 BST 1992
*
* (C) Copyright 1992, Hewlett-Packard Ltd.
** 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 automatically generated configuration file if running autoconf.
#ifdef HAVE_CONFIG_H
#include "config_auto.h"
#endif
#include "mfcpch.h"
#ifdef __UNIX__
#include <assert.h>
#endif
#include "stderr.h"
#include "globaloc.h"
#include "tessout.h"
#include "blread.h"
#include "blobbox.h"
#include "edgblob.h"
#include "drawtord.h"
#include "makerow.h"
#include "wordseg.h"
#include "ocrclass.h"
#include "genblob.h"
#include "imgs.h"
#include "tordmain.h"
#include "secname.h"
#include "tesseractclass.h"
// Some of the code in this file is dependent upon leptonica. If you don't
// have it, you don't get this functionality.
#ifdef HAVE_CONFIG_H
#include "config_auto.h"
#endif
#ifdef HAVE_LIBLEPT
#include "allheaders.h"
#endif
const ERRCODE BLOCKLESS_BLOBS = "Warning:some blobs assigned to no block";
#undef EXTERN
#define EXTERN
EXTERN BOOL_VAR (textord_no_rejects, FALSE, "Don't remove noise blobs");
EXTERN BOOL_VAR (textord_show_blobs, FALSE, "Display unsorted blobs");
EXTERN BOOL_VAR (textord_show_boxes, FALSE, "Display unsorted blobs");
EXTERN BOOL_VAR (textord_new_initial_xheight, TRUE,
"Use test xheight mechanism");
EXTERN BOOL_VAR (textord_exit_after, FALSE, "Exit after completing textord");
EXTERN INT_VAR (textord_max_noise_size, 7, "Pixel size of noise");
EXTERN double_VAR (textord_blob_size_bigile, 95,
"Percentile for large blobs");
EXTERN double_VAR (textord_noise_area_ratio, 0.7,
"Fraction of bounding box for noise");
EXTERN double_VAR (textord_blob_size_smallile, 20,
"Percentile for small blobs");
EXTERN double_VAR (textord_initialx_ile, 0.75,
"Ile of sizes for xheight guess");
EXTERN double_VAR (textord_initialasc_ile, 0.90,
"Ile of sizes for xheight guess");
EXTERN INT_VAR (textord_noise_sizefraction, 10,
"Fraction of size for maxima");
EXTERN double_VAR (textord_noise_sizelimit, 0.5,
"Fraction of x for big t count");
EXTERN INT_VAR (textord_noise_translimit, 16, "Transitions for normal blob");
EXTERN double_VAR (textord_noise_normratio, 2.0,
"Dot to norm ratio for deletion");
EXTERN BOOL_VAR (textord_noise_rejwords, TRUE, "Reject noise-like words");
EXTERN BOOL_VAR (textord_noise_rejrows, TRUE, "Reject noise-like rows");
EXTERN double_VAR (textord_noise_syfract, 0.2,
"xh fract error for norm blobs");
EXTERN double_VAR (textord_noise_sxfract, 0.4,
"xh fract width error for norm blobs");
EXTERN double_VAR(textord_noise_hfract, 1.0/64,
"Height fraction to discard outlines as speckle noise");
EXTERN INT_VAR (textord_noise_sncount, 1, "super norm blobs to save row");
EXTERN double_VAR (textord_noise_rowratio, 6.0,
"Dot to norm ratio for deletion");
EXTERN BOOL_VAR (textord_noise_debug, FALSE, "Debug row garbage detector");
EXTERN double_VAR (textord_blshift_maxshift, 0.00, "Max baseline shift");
EXTERN double_VAR (textord_blshift_xfraction, 9.99,
"Min size of baseline shift");
EXTERN STRING_EVAR (tessedit_image_ext, ".tif", "Externsion for image file");
#ifndef EMBEDDED
EXTERN clock_t previous_cpu;
#endif
extern BOOL_VAR_H (polygon_tess_approximation, TRUE,
"Do tess poly instead of grey scale");
#define MAX_NEAREST_DIST 600 //for block skew stats
#define MAX_BLOB_TRANSITIONS100 //for nois stats
extern IMAGE page_image; //must be defined somewhere
extern BOOL_VAR_H (interactive_mode, TRUE, "Run interactively?");
extern /*"C" */ ETEXT_DESC *global_monitor; //progress monitor
/**********************************************************************
* find_components
*
* Find the C_OUTLINEs of the connected components in each block, put them
* in C_BLOBs, and filter them by size, putting the different size
* grades on different lists in the matching TO_BLOCK in port_blocks.
**********************************************************************/
void find_components(
BLOCK_LIST *blocks,
TO_BLOCK_LIST *land_blocks,
TO_BLOCK_LIST *port_blocks,
TBOX *page_box) {
BLOCK *block; //current block
PDBLK_CLIST pd_blocks; //copy of list
BLOCK_IT block_it = blocks; //iterator
PDBLK_C_IT pd_it = &pd_blocks; //iterator
IMAGE thresh_image; //thresholded
int width = page_image.get_xsize();
int height = page_image.get_ysize();
if (width > MAX_INT16 || height > MAX_INT16) {
tprintf("Input image too large! (%d, %d)\n", width, height);
return; // Can't handle it.
}
ICOORD page_tr(width, height);
block_it.set_to_list (blocks);
if (global_monitor != NULL)
global_monitor->ocr_alive = TRUE;
set_global_loc_code(LOC_EDGE_PROG);
if (!page_image.white_high ())
invert_image(&page_image);
#ifndef EMBEDDED
previous_cpu = clock ();
#endif
for (block_it.mark_cycle_pt(); !block_it.cycled_list();
block_it.forward()) {
block = block_it.data();
if (block->poly_block() == NULL ||
block->poly_block()->IsText()) {
#ifndef GRAPHICS_DISABLED
extract_edges(NULL, &page_image, &page_image, page_tr, block);
#else
extract_edges(&page_image, &page_image, page_tr, block);
#endif
*page_box += block->bounding_box ();
}
}
if (global_monitor != NULL) {
global_monitor->ocr_alive = TRUE;
global_monitor->progress = 10;
}
assign_blobs_to_blocks2(blocks, land_blocks, port_blocks);
if (global_monitor != NULL)
global_monitor->ocr_alive = TRUE;
filter_blobs (page_box->topright (), land_blocks, textord_test_landscape);
#ifndef EMBEDDED
previous_cpu = clock ();
#endif
filter_blobs (page_box->topright (), port_blocks, !textord_test_landscape);
if (global_monitor != NULL)
global_monitor->ocr_alive = TRUE;
}
/**********************************************************************
* SetBlobStrokeWidth
*
* Set the horizontal and vertical stroke widths in the blob.
**********************************************************************/
void SetBlobStrokeWidth(bool debug, BLOBNBOX* blob) {
#ifdef HAVE_LIBLEPT
// Cut the blob rectangle into a Pix.
// TODO(rays) make the page_image a Pix so this is more direct.
const TBOX& box = blob->bounding_box();
IMAGE blob_im;
int width = box.width();
int height = box.height();
blob_im.create(width, height, 1);
copy_sub_image(&page_image, box.left(), box.bottom(), width, height,
&blob_im, 0, 0, false);
Pix* pix = blob_im.ToPix();
Pix* dist_pix = pixDistanceFunction(pix, 4, 8, L_BOUNDARY_BG);
if (debug) {
pixWrite("cutpix.png", pix, IFF_PNG);
pixWrite("distpix.png", dist_pix, IFF_PNG);
}
pixDestroy(&pix);
// Compute the stroke widths.
uinT32* data = pixGetData(dist_pix);
int wpl = pixGetWpl(dist_pix);
// Horizontal width of stroke.
STATS h_stats(0, width + 1);
for (int y = 0; y < height; ++y) {
uinT32* pixels = data + y*wpl;
int prev_pixel = 0;
int pixel = GET_DATA_BYTE(pixels, 0);
for (int x = 1; x < width; ++x) {
int next_pixel = GET_DATA_BYTE(pixels, x);
// We are looking for a pixel that is equal to its vertical neighbours,
// yet greater than its left neighbour.
if (prev_pixel < pixel &&
(y == 0 || pixel == GET_DATA_BYTE(pixels - wpl, x - 1)) &&
(y == height - 1 || pixel == GET_DATA_BYTE(pixels + wpl, x - 1))) {
if (pixel > next_pixel) {
// Single local max, so an odd width.
h_stats.add(pixel * 2 - 1, 1);
} else if (pixel == next_pixel && x + 1 < width &&
pixel > GET_DATA_BYTE(pixels, x + 1)) {
// Double local max, so an even width.
h_stats.add(pixel * 2, 1);
}
}
prev_pixel = pixel;
pixel = next_pixel;
}
}
if (debug) {
h_stats.print(stderr, true);
}
// Vertical width of stroke.
STATS v_stats(0, height + 1);
for (int x = 0; x < width; ++x) {
int prev_pixel = 0;
int pixel = GET_DATA_BYTE(data, x);
for (int y = 1; y < height; ++y) {
uinT32* pixels = data + y*wpl;
int next_pixel = GET_DATA_BYTE(pixels, x);
// We are looking for a pixel that is equal to its horizontal neighbours,
// yet greater than its upper neighbour.
if (prev_pixel < pixel &&
(x == 0 || pixel == GET_DATA_BYTE(pixels - wpl, x - 1)) &&
(x == width - 1 || pixel == GET_DATA_BYTE(pixels - wpl, x + 1))) {
if (pixel > next_pixel) {
// Single local max, so an odd width.
v_stats.add(pixel * 2 - 1, 1);
} else if (pixel == next_pixel && y + 1 < height &&
pixel > GET_DATA_BYTE(pixels + wpl, x)) {
// Double local max, so an even width.
v_stats.add(pixel * 2, 1);
}
}
prev_pixel = pixel;
pixel = next_pixel;
}
}
if (debug) {
v_stats.print(stderr, true);
}
pixDestroy(&dist_pix);
// Store the horizontal and vertical width in the blob, keeping both
// widths if there is enough information, otherwse only the one with
// the most samples.
// If there are insufficent samples, store zero, rather than using
// 2*area/perimeter, as the numbers that gives do not match the numbers
// from the distance method.
if (debug) {
tprintf("box=%d,%d->%d,%d, hcount=%d, vcount=%d, target=%d\n",
box.left(), box.bottom(), box.right(), box.top(),
h_stats.get_total(), v_stats.get_total(), (width+height) /4);
tprintf("hstats median=%f, lq=%f, uq=%f, sd=%f\n",
h_stats.median(), h_stats.ile(0.25f), h_stats.ile(0.75f),
h_stats.sd());
tprintf("vstats median=%f, lq=%f, uq=%f, sd=%f\n",
v_stats.median(), v_stats.ile(0.25f), v_stats.ile(0.75f),
v_stats.sd());
}
if (h_stats.get_total() >= (width + height) / 4) {
blob->set_horz_stroke_width(h_stats.ile(0.5f));
if (v_stats.get_total() >= (width + height) / 4)
blob->set_vert_stroke_width(v_stats.ile(0.5f));
else
blob->set_vert_stroke_width(0.0f);
} else {
if (v_stats.get_total() >= (width + height) / 4 ||
v_stats.get_total() > h_stats.get_total()) {
blob->set_horz_stroke_width(0.0f);
blob->set_vert_stroke_width(v_stats.ile(0.5f));
} else {
blob->set_horz_stroke_width(h_stats.get_total() > 2 ? h_stats.ile(0.5f)
: 0.0f);
blob->set_vert_stroke_width(0.0f);
}
}
#else
// Without leptonica present, use the 2*area/perimeter as an approximation.
float width = 2.0f * blob->cblob()->area();
width /= blob->cblob()->perimeter();
blob->set_horz_stroke_width(width);
blob->set_vert_stroke_width(width);
#endif
}
/**********************************************************************
* assign_blobs_to_blocks2
*
* Make a list of TO_BLOCKs for portrait and landscape orientation.
**********************************************************************/
void assign_blobs_to_blocks2( // split into groups
BLOCK_LIST *blocks, // blocks to process
TO_BLOCK_LIST *land_blocks, // ** unused **
TO_BLOCK_LIST *port_blocks // output list
) {
BLOCK *block; // current block
BLOBNBOX *newblob; // created blob
C_BLOB *blob; // current blob
BLOCK_IT block_it = blocks;
C_BLOB_IT blob_it; // iterator
BLOBNBOX_IT port_box_it; // iterator
// destination iterator
TO_BLOCK_IT port_block_it = port_blocks;
TO_BLOCK *port_block; // created block
for (block_it.mark_cycle_pt(); !block_it.cycled_list(); block_it.forward()) {
block = block_it.data ();
port_block = new TO_BLOCK(block);
// Convert the good outlines to block->blob_list
port_box_it.set_to_list(&port_block->blobs);
blob_it.set_to_list(block->blob_list());
for (blob_it.mark_cycle_pt(); !blob_it.cycled_list(); blob_it.forward()) {
blob = blob_it.extract();
newblob = new BLOBNBOX(blob); // Convert blob to BLOBNBOX.
SetBlobStrokeWidth(false, newblob);
port_box_it.add_after_then_move(newblob);
}
// Put the rejected outlines in block->noise_blobs, which allows them to
// be reconsidered and sorted back into rows and recover outlines mistakenly
// rejected.
port_box_it.set_to_list(&port_block->noise_blobs);
blob_it.set_to_list(block->reject_blobs());
for (blob_it.mark_cycle_pt(); !blob_it.cycled_list(); blob_it.forward()) {
blob = blob_it.extract();
newblob = new BLOBNBOX(blob); // Convert blob to BLOBNBOX.
SetBlobStrokeWidth(false, newblob);
port_box_it.add_after_then_move(newblob);
}
port_block_it.add_after_then_move(port_block);
}
}
/**********************************************************************
* filter_blobs
*
* Sort the blobs into sizes in all the blocks for later work.
**********************************************************************/
void filter_blobs( //split into groups
ICOORD page_tr, //top right
TO_BLOCK_LIST *blocks, //output list
BOOL8 testing_on //for plotting
) {
TO_BLOCK_IT block_it = blocks; //destination iterator
TO_BLOCK *block; //created block
if (to_win != NULL)
to_win->Clear();
for (block_it.mark_cycle_pt (); !block_it.cycled_list ();
block_it.forward ()) {
block = block_it.data ();
block->line_size = filter_noise_blobs (&block->blobs,
&block->noise_blobs,
&block->small_blobs,
&block->large_blobs);
block->line_spacing =
block->line_size * (textord_merge_desc + textord_merge_x +
textord_merge_asc +
textord_merge_asc) / textord_merge_x;
block->line_size *= textord_min_linesize;
block->max_blob_size = block->line_size * textord_excess_blobsize;
#ifndef GRAPHICS_DISABLED
if (textord_show_blobs && testing_on) {
if (to_win == NULL)
create_to_win(page_tr);
block->plot_graded_blobs(to_win);
}
if (textord_show_boxes && testing_on) {
if (to_win == NULL)
create_to_win(page_tr);
plot_box_list (to_win, &block->noise_blobs, ScrollView::WHITE);
plot_box_list (to_win, &block->small_blobs, ScrollView::WHITE);
plot_box_list (to_win, &block->large_blobs, ScrollView::WHITE);
plot_box_list (to_win, &block->blobs, ScrollView::WHITE);
}
#endif
}
}
/**********************************************************************
* filter_noise_blobs
*
* Move small blobs to a separate list.
**********************************************************************/
float filter_noise_blobs( //separate noise
BLOBNBOX_LIST *src_list, //origonal list
BLOBNBOX_LIST *noise_list, //noise list
BLOBNBOX_LIST *small_list, //small blobs
BLOBNBOX_LIST *large_list //large blobs
) {
inT16 height; //height of blob
inT16 width; //of blob
BLOBNBOX_IT src_it = src_list; //iterators
BLOBNBOX_IT noise_it = noise_list;
BLOBNBOX_IT small_it = small_list;
BLOBNBOX_IT large_it = large_list;
STATS size_stats (0, MAX_NEAREST_DIST);
//blob heights
if (textord_new_initial_xheight)
return filter_noise_blobs2 (src_list, noise_list, small_list, large_list);
float min_y; //size limits
float max_y;
float max_x;
for (src_it.mark_cycle_pt (); !src_it.cycled_list (); src_it.forward ()) {
if (src_it.data ()->bounding_box ().height () < textord_max_noise_size)
noise_it.add_after_then_move (src_it.extract ());
}
for (src_it.mark_cycle_pt (); !src_it.cycled_list (); src_it.forward ()) {
size_stats.add (src_it.data ()->bounding_box ().height (), 1);
}
min_y = floor (size_stats.ile (textord_blob_size_smallile / 100.0));
max_y = ceil (size_stats.ile (textord_blob_size_bigile / 100.0));
max_x = ceil (size_stats.ile (0.5) * textord_width_limit);
for (src_it.mark_cycle_pt (); !src_it.cycled_list (); src_it.forward ()) {
height = src_it.data ()->bounding_box ().height ();
width = src_it.data ()->bounding_box ().width ();
if (height < min_y)
small_it.add_after_then_move (src_it.extract ());
else if (height > max_y || width > max_x)
large_it.add_after_then_move (src_it.extract ());
}
return size_stats.ile (textord_initialx_ile);
}
/**********************************************************************
* filter_noise_blobs2
*
* Move small blobs to a separate list.
**********************************************************************/
float filter_noise_blobs2( //separate noise
BLOBNBOX_LIST *src_list, //origonal list
BLOBNBOX_LIST *noise_list, //noise list
BLOBNBOX_LIST *small_list, //small blobs
BLOBNBOX_LIST *large_list //large blobs
) {
inT16 height; //height of blob
inT16 width; //of blob
BLOBNBOX *blob; //current blob
float initial_x; //first guess
BLOBNBOX_IT src_it = src_list; //iterators
BLOBNBOX_IT noise_it = noise_list;
BLOBNBOX_IT small_it = small_list;
BLOBNBOX_IT large_it = large_list;
STATS size_stats (0, MAX_NEAREST_DIST);
//blob heights
float min_y; //size limits
float max_y;
float max_x;
float max_height; //of good blobs
for (src_it.mark_cycle_pt (); !src_it.cycled_list (); src_it.forward ()) {
blob = src_it.data ();
if (blob->bounding_box ().height () < textord_max_noise_size)
noise_it.add_after_then_move (src_it.extract ());
else if (blob->enclosed_area () >= blob->bounding_box ().height ()
* blob->bounding_box ().width () * textord_noise_area_ratio)
small_it.add_after_then_move (src_it.extract ());
}
for (src_it.mark_cycle_pt (); !src_it.cycled_list (); src_it.forward ()) {
size_stats.add (src_it.data ()->bounding_box ().height (), 1);
}
initial_x = size_stats.ile (textord_initialx_ile);
max_y =
ceil (initial_x *
(textord_merge_desc + textord_merge_x +
2 * textord_merge_asc) / textord_merge_x);
min_y = floor (initial_x / 2);
max_x = ceil (initial_x * textord_width_limit);
small_it.move_to_first ();
for (small_it.mark_cycle_pt (); !small_it.cycled_list ();
small_it.forward ()) {
height = small_it.data()->bounding_box().height();
if (height > max_y)
large_it.add_after_then_move(small_it.extract ());
else if (height >= min_y)
src_it.add_after_then_move(small_it.extract ());
}
size_stats.clear ();
for (src_it.mark_cycle_pt (); !src_it.cycled_list (); src_it.forward ()) {
height = src_it.data ()->bounding_box ().height ();
width = src_it.data ()->bounding_box ().width ();
if (height < min_y)
small_it.add_after_then_move (src_it.extract ());
else if (height > max_y || width > max_x)
large_it.add_after_then_move (src_it.extract ());
else
size_stats.add (height, 1);
}
max_height = size_stats.ile (textord_initialasc_ile);
// printf("max_y=%g, min_y=%g, initial_x=%g, max_height=%g,",
// max_y,min_y,initial_x,max_height);
max_height *= textord_merge_x / (textord_merge_x + textord_merge_asc);
if (max_height > initial_x)
initial_x = max_height;
// printf(" ret=%g\n",initial_x);
return initial_x;
}
/**********************************************************************
* textord_page
*
* Textord the list of blobs and return a list of proper blocks.
**********************************************************************/
void textord_page( //make rows & words
ICOORD page_tr, //top right
BLOCK_LIST *blocks, //block list
TO_BLOCK_LIST *land_blocks, //rotated for landscape
TO_BLOCK_LIST *port_blocks, //output list
tesseract::Tesseract* tess
) {
float gradient; //global skew
set_global_loc_code(LOC_TEXT_ORD_ROWS);
gradient = make_rows (page_tr, blocks, land_blocks, port_blocks, tess);
if (global_monitor != NULL) {
global_monitor->ocr_alive = TRUE;
global_monitor->progress = 20;
}
set_global_loc_code(LOC_TEXT_ORD_WORDS);
make_words(page_tr, gradient, blocks, land_blocks, port_blocks, tess);
if (global_monitor != NULL) {
global_monitor->ocr_alive = TRUE;
global_monitor->progress = 30;
}
cleanup_blocks(blocks); //remove empties
#ifndef GRAPHICS_DISABLED
close_to_win();
#endif
if (textord_exit_after && !interactive_mode)
exit (0);
}
/**********************************************************************
* cleanup_blocks
*
* Delete empty blocks, rows from the page.
**********************************************************************/
void cleanup_blocks( //remove empties
BLOCK_LIST *blocks //list
) {
BLOCK_IT block_it = blocks; //iterator
ROW_IT row_it; //row iterator
for (block_it.mark_cycle_pt (); !block_it.cycled_list ();
block_it.forward ()) {
row_it.set_to_list (block_it.data ()->row_list ());
for (row_it.mark_cycle_pt (); !row_it.cycled_list (); row_it.forward ()) {
clean_small_noise_from_words(row_it.data());
if ((textord_noise_rejrows
&& !row_it.data ()->word_list ()->empty ()
&& clean_noise_from_row (row_it.data ()))
|| row_it.data ()->word_list ()->empty ())
delete row_it.extract ();//lose empty row
else {
if (textord_noise_rejwords)
clean_noise_from_words (row_it.data ());
if (textord_blshift_maxshift >= 0)
tweak_row_baseline (row_it.data ());
}
}
if (block_it.data ()->row_list ()->empty ()) {
delete block_it.extract ();//lose empty block
}
}
}
/**********************************************************************
* clean_noise_from_row
*
* Move blobs of words from rows of garbage into the reject blobs list.
**********************************************************************/
BOOL8 clean_noise_from_row( //remove empties
ROW *row //row to clean
) {
BOOL8 testing_on;
TBOX blob_box; //bounding box
C_BLOB *blob; //current blob
C_OUTLINE *outline; //current outline
WERD *word; //current word
inT32 blob_size; //biggest size
inT32 trans_count = 0; //no of transitions
inT32 trans_threshold; //noise tolerance
inT32 dot_count; //small objects
inT32 norm_count; //normal objects
inT32 super_norm_count; //real char-like
//words of row
WERD_IT word_it = row->word_list ();
C_BLOB_IT blob_it; //blob iterator
C_OUTLINE_IT out_it; //outline iterator
if (textord_test_y > row->base_line (textord_test_x)
&& textord_show_blobs
&& textord_test_y < row->base_line (textord_test_x) + row->x_height ())
testing_on = TRUE;
else
testing_on = FALSE;
dot_count = 0;
norm_count = 0;
super_norm_count = 0;
for (word_it.mark_cycle_pt (); !word_it.cycled_list (); word_it.forward ()) {
word = word_it.data (); //current word
//blobs in word
blob_it.set_to_list (word->cblob_list ());
for (blob_it.mark_cycle_pt (); !blob_it.cycled_list ();
blob_it.forward ()) {
blob = blob_it.data ();
if (!word->flag (W_DONT_CHOP)) {
//get outlines
out_it.set_to_list (blob->out_list ());
for (out_it.mark_cycle_pt (); !out_it.cycled_list ();
out_it.forward ()) {
outline = out_it.data ();
blob_box = outline->bounding_box ();
blob_size =
blob_box.width () >
blob_box.height ()? blob_box.width () : blob_box.
height();
if (blob_size < textord_noise_sizelimit * row->x_height ())
dot_count++; //count smal outlines
if (!outline->child ()->empty ()
&& blob_box.height () <
(1 + textord_noise_syfract) * row->x_height ()
&& blob_box.height () >
(1 - textord_noise_syfract) * row->x_height ()
&& blob_box.width () <
(1 + textord_noise_sxfract) * row->x_height ()
&& blob_box.width () >
(1 - textord_noise_sxfract) * row->x_height ())
super_norm_count++; //count smal outlines
}
}
else
super_norm_count++;
blob_box = blob->bounding_box ();
blob_size =
blob_box.width () >
blob_box.height ()? blob_box.width () : blob_box.height ();
if (blob_size >= textord_noise_sizelimit * row->x_height ()
&& blob_size < row->x_height () * 2) {
trans_threshold = blob_size / textord_noise_sizefraction;
trans_count = blob->count_transitions (trans_threshold);
if (trans_count < textord_noise_translimit)
norm_count++;
}
else if (blob_box.height () > row->x_height () * 2
&& (!word_it.at_first () || !blob_it.at_first ()))
dot_count += 2;
#ifndef SECURE_NAMES
if (testing_on) {
tprintf
("Blob at (%d,%d) -> (%d,%d), ols=%d, tc=%d, bldiff=%g\n",
blob_box.left (), blob_box.bottom (), blob_box.right (),
blob_box.top (), blob->out_list ()->length (), trans_count,
blob_box.bottom () - row->base_line (blob_box.left ()));
}
#endif
}
}
#ifndef SECURE_NAMES
if (textord_noise_debug) {
tprintf ("Row ending at (%d,%g):",
blob_box.right (), row->base_line (blob_box.right ()));
tprintf (" R=%g, dc=%d, nc=%d, %s\n",
norm_count > 0 ? (float) dot_count / norm_count : 9999,
dot_count, norm_count,
dot_count > norm_count * textord_noise_normratio
&& dot_count > 2 ? "REJECTED" : "ACCEPTED");
}
#endif
return super_norm_count < textord_noise_sncount
&& dot_count > norm_count * textord_noise_rowratio && dot_count > 2;
}
/**********************************************************************
* clean_noise_from_words
*
* Move blobs of words from rows of garbage into the reject blobs list.
**********************************************************************/
void clean_noise_from_words( //remove empties
ROW *row //row to clean
) {
TBOX blob_box; //bounding box
inT8 *word_dud; //was it chucked
C_BLOB *blob; //current blob
C_OUTLINE *outline; //current outline
WERD *word; //current word
inT32 blob_size; //biggest size
inT32 trans_count; //no of transitions
inT32 trans_threshold; //noise tolerance
inT32 dot_count; //small objects
inT32 norm_count; //normal objects
inT32 dud_words; //number discarded
inT32 ok_words; //number remaining
inT32 word_index; //current word
//words of row
WERD_IT word_it = row->word_list ();
C_BLOB_IT blob_it; //blob iterator
C_OUTLINE_IT out_it; //outline iterator
ok_words = word_it.length ();
if (ok_words == 0 || textord_no_rejects)
return;
word_dud = (inT8 *) alloc_mem (ok_words * sizeof (inT8));
dud_words = 0;
ok_words = 0;
word_index = 0;
for (word_it.mark_cycle_pt (); !word_it.cycled_list (); word_it.forward ()) {
word = word_it.data (); //current word
dot_count = 0;
norm_count = 0;
//blobs in word
blob_it.set_to_list (word->cblob_list ());
for (blob_it.mark_cycle_pt (); !blob_it.cycled_list ();
blob_it.forward ()) {
blob = blob_it.data ();
if (!word->flag (W_DONT_CHOP)) {
//get outlines
out_it.set_to_list (blob->out_list ());
for (out_it.mark_cycle_pt (); !out_it.cycled_list ();
out_it.forward ()) {
outline = out_it.data ();
blob_box = outline->bounding_box ();
blob_size =
blob_box.width () >
blob_box.height ()? blob_box.width () : blob_box.
height();
if (blob_size < textord_noise_sizelimit * row->x_height ())
dot_count++; //count smal outlines
if (!outline->child ()->empty ()
&& blob_box.height () <
(1 + textord_noise_syfract) * row->x_height ()
&& blob_box.height () >
(1 - textord_noise_syfract) * row->x_height ()
&& blob_box.width () <
(1 + textord_noise_sxfract) * row->x_height ()
&& blob_box.width () >
(1 - textord_noise_sxfract) * row->x_height ())
norm_count++; //count smal outlines
}
}
else
norm_count++;
blob_box = blob->bounding_box ();
blob_size =
blob_box.width () >
blob_box.height ()? blob_box.width () : blob_box.height ();
if (blob_size >= textord_noise_sizelimit * row->x_height ()
&& blob_size < row->x_height () * 2) {
trans_threshold = blob_size / textord_noise_sizefraction;
trans_count = blob->count_transitions (trans_threshold);
if (trans_count < textord_noise_translimit)
norm_count++;
}
else if (blob_box.height () > row->x_height () * 2
&& (!word_it.at_first () || !blob_it.at_first ()))
dot_count += 2;
}
if (dot_count > 2) {
if (dot_count > norm_count * textord_noise_normratio * 2)
word_dud[word_index] = 2;
else if (dot_count > norm_count * textord_noise_normratio)
word_dud[word_index] = 1;
else
word_dud[word_index] = 0;
}
else
word_dud[word_index] = 0;
if (word_dud[word_index] == 2)
dud_words++;
else
ok_words++;
word_index++;
}
word_index = 0;
for (word_it.mark_cycle_pt (); !word_it.cycled_list (); word_it.forward ()) {
if (word_dud[word_index] == 2
|| (word_dud[word_index] == 1 && dud_words > ok_words)) {
word = word_it.data (); //current word
//rejected blobs
blob_it.set_to_list (word->rej_cblob_list ());
//move from blobs
blob_it.add_list_after (word->cblob_list ());
}
word_index++;
}
free_mem(word_dud);
}
// Remove outlines that are a tiny fraction in either width or height
// of the word height.
void clean_small_noise_from_words(ROW *row) {
WERD_IT word_it(row->word_list());
for (word_it.mark_cycle_pt(); !word_it.cycled_list(); word_it.forward()) {
WERD* word = word_it.data();
int min_size = static_cast<int>(
textord_noise_hfract * word->bounding_box().height() + 0.5);
C_BLOB_IT blob_it(word->cblob_list());
for (blob_it.mark_cycle_pt(); !blob_it.cycled_list(); blob_it.forward()) {
C_BLOB* blob = blob_it.data();
C_OUTLINE_IT out_it(blob->out_list());
for (out_it.mark_cycle_pt(); !out_it.cycled_list(); out_it.forward()) {
C_OUTLINE* outline = out_it.data();
outline->RemoveSmallRecursive(min_size, &out_it);
}
if (blob->out_list()->empty()) {
delete blob_it.extract();
}
}
if (word->cblob_list()->empty()) {
if (!word_it.at_last()) {
// The next word is no longer a fuzzy non space if it was before,
// since the word before is about to be deleted.
WERD* next_word = word_it.data_relative(1);
if (next_word->flag(W_FUZZY_NON)) {
next_word->set_flag(W_FUZZY_NON, false);
}
}
delete word_it.extract();
}
}
}
/**********************************************************************
* tweak_row_baseline
*
* Shift baseline to fit the blobs more accurately where they are
* close enough.
**********************************************************************/
void tweak_row_baseline( //remove empties
ROW *row //row to clean
) {
TBOX blob_box; //bounding box
C_BLOB *blob; //current blob
WERD *word; //current word
inT32 blob_count; //no of blobs
inT32 src_index; //source segment
inT32 dest_index; //destination segment
inT32 *xstarts; //spline segments
double *coeffs; //spline coeffs
float ydiff; //baseline error
float x_centre; //centre of blob
//words of row
WERD_IT word_it = row->word_list ();
C_BLOB_IT blob_it; //blob iterator
blob_count = 0;
for (word_it.mark_cycle_pt (); !word_it.cycled_list (); word_it.forward ()) {
word = word_it.data (); //current word
//get total blobs
blob_count += word->cblob_list ()->length ();
}
if (blob_count == 0)
return;
xstarts =
(inT32 *) alloc_mem ((blob_count + row->baseline.segments + 1) *
sizeof (inT32));
coeffs =
(double *) alloc_mem ((blob_count + row->baseline.segments) * 3 *
sizeof (double));
src_index = 0;
dest_index = 0;
xstarts[0] = row->baseline.xcoords[0];
for (word_it.mark_cycle_pt (); !word_it.cycled_list (); word_it.forward ()) {
word = word_it.data (); //current word
//blobs in word
blob_it.set_to_list (word->cblob_list ());
for (blob_it.mark_cycle_pt (); !blob_it.cycled_list ();
blob_it.forward ()) {
blob = blob_it.data ();
blob_box = blob->bounding_box ();
x_centre = (blob_box.left () + blob_box.right ()) / 2.0;
ydiff = blob_box.bottom () - row->base_line (x_centre);
if (ydiff < 0)
ydiff = -ydiff / row->x_height ();
else
ydiff = ydiff / row->x_height ();
if (ydiff < textord_blshift_maxshift
&& blob_box.height () / row->x_height () >
textord_blshift_xfraction) {
if (xstarts[dest_index] >= x_centre)
xstarts[dest_index] = blob_box.left ();
coeffs[dest_index * 3] = 0;
coeffs[dest_index * 3 + 1] = 0;
coeffs[dest_index * 3 + 2] = blob_box.bottom ();
//shift it
dest_index++;
xstarts[dest_index] = blob_box.right () + 1;
}
else {
if (xstarts[dest_index] <= x_centre) {
while (row->baseline.xcoords[src_index + 1] <= x_centre
&& src_index < row->baseline.segments - 1) {
if (row->baseline.xcoords[src_index + 1] >
xstarts[dest_index]) {
coeffs[dest_index * 3] =
row->baseline.quadratics[src_index].a;
coeffs[dest_index * 3 + 1] =
row->baseline.quadratics[src_index].b;
coeffs[dest_index * 3 + 2] =
row->baseline.quadratics[src_index].c;
dest_index++;
xstarts[dest_index] =
row->baseline.xcoords[src_index + 1];
}
src_index++;
}
coeffs[dest_index * 3] =
row->baseline.quadratics[src_index].a;
coeffs[dest_index * 3 + 1] =
row->baseline.quadratics[src_index].b;
coeffs[dest_index * 3 + 2] =
row->baseline.quadratics[src_index].c;
dest_index++;
xstarts[dest_index] = row->baseline.xcoords[src_index + 1];
}
}
}
}
while (src_index < row->baseline.segments
&& row->baseline.xcoords[src_index + 1] <= xstarts[dest_index])
src_index++;
while (src_index < row->baseline.segments) {
coeffs[dest_index * 3] = row->baseline.quadratics[src_index].a;
coeffs[dest_index * 3 + 1] = row->baseline.quadratics[src_index].b;
coeffs[dest_index * 3 + 2] = row->baseline.quadratics[src_index].c;
dest_index++;
src_index++;
xstarts[dest_index] = row->baseline.xcoords[src_index];
}
//turn to spline
row->baseline = QSPLINE (dest_index, xstarts, coeffs);
free_mem(xstarts);
free_mem(coeffs);
}
/**********************************************************************
* blob_y_order
*
* Sort function to sort blobs in y from page top.
**********************************************************************/
inT32 blob_y_order( //sort function
void *item1, //items to compare
void *item2) {
//converted ptr
BLOBNBOX *blob1 = *(BLOBNBOX **) item1;
//converted ptr
BLOBNBOX *blob2 = *(BLOBNBOX **) item2;
if (blob1->bounding_box ().bottom () > blob2->bounding_box ().bottom ())
return -1;
else if (blob1->bounding_box ().bottom () <
blob2->bounding_box ().bottom ())
return 1;
else {
if (blob1->bounding_box ().left () < blob2->bounding_box ().left ())
return -1;
else if (blob1->bounding_box ().left () >
blob2->bounding_box ().left ())
return 1;
else
return 0;
}
}
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