mirror/tesseract
1
0
Fork 0
mirror of https://github.com/tesseract-ocr/tesseract.git synced 2024-12-23 15:07:49 +08:00
Code Issues Actions 9 Packages Projects Releases Wiki Activity
f061503a14
tesseract/textord/textord.cpp
Raf Schietekat 1bd561d431 Fewer g++ -Wmaybe-uninitialized warnings
2017-05-11 23:14:52 +02:00

357 lines
17 KiB
C++
Raw Blame History

///////////////////////////////////////////////////////////////////////
// File: textord.cpp
// Description: The top-level text line and word finding functionality.
// Author: Ray Smith
// Created: Fri Mar 13 14:43:01 PDT 2009
//
// (C) Copyright 2009, Google Inc.
// 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 "baselinedetect.h"
#include "drawtord.h"
#include "textord.h"
#include "makerow.h"
#include "pageres.h"
#include "tordmain.h"
#include "wordseg.h"
namespace tesseract {
Textord::Textord(CCStruct* ccstruct)
: ccstruct_(ccstruct),
use_cjk_fp_model_(false),
// makerow.cpp ///////////////////////////////////////////
BOOL_MEMBER(textord_single_height_mode, false,
"Script has no xheight, so use a single mode",
ccstruct_->params()),
// tospace.cpp ///////////////////////////////////////////
BOOL_MEMBER(tosp_old_to_method, false, "Space stats use prechopping?",
ccstruct_->params()),
BOOL_MEMBER(tosp_old_to_constrain_sp_kn, false,
"Constrain relative values of inter and intra-word gaps for "
"old_to_method.",
ccstruct_->params()),
BOOL_MEMBER(tosp_only_use_prop_rows, true,
"Block stats to use fixed pitch rows?", ccstruct_->params()),
BOOL_MEMBER(tosp_force_wordbreak_on_punct, false,
"Force word breaks on punct to break long lines in non-space "
"delimited langs",
ccstruct_->params()),
BOOL_MEMBER(tosp_use_pre_chopping, false, "Space stats use prechopping?",
ccstruct_->params()),
BOOL_MEMBER(tosp_old_to_bug_fix, false, "Fix suspected bug in old code",
ccstruct_->params()),
BOOL_MEMBER(tosp_block_use_cert_spaces, true, "Only stat OBVIOUS spaces",
ccstruct_->params()),
BOOL_MEMBER(tosp_row_use_cert_spaces, true, "Only stat OBVIOUS spaces",
ccstruct_->params()),
BOOL_MEMBER(tosp_narrow_blobs_not_cert, true, "Only stat OBVIOUS spaces",
ccstruct_->params()),
BOOL_MEMBER(tosp_row_use_cert_spaces1, true, "Only stat OBVIOUS spaces",
ccstruct_->params()),
BOOL_MEMBER(tosp_recovery_isolated_row_stats, true,
"Use row alone when inadequate cert spaces",
ccstruct_->params()),
BOOL_MEMBER(tosp_only_small_gaps_for_kern, false, "Better guess",
ccstruct_->params()),
BOOL_MEMBER(tosp_all_flips_fuzzy, false, "Pass ANY flip to context?",
ccstruct_->params()),
BOOL_MEMBER(tosp_fuzzy_limit_all, true,
"Don't restrict kn->sp fuzzy limit to tables",
ccstruct_->params()),
BOOL_MEMBER(tosp_stats_use_xht_gaps, true,
"Use within xht gap for wd breaks", ccstruct_->params()),
BOOL_MEMBER(tosp_use_xht_gaps, true, "Use within xht gap for wd breaks",
ccstruct_->params()),
BOOL_MEMBER(tosp_only_use_xht_gaps, false,
"Only use within xht gap for wd breaks", ccstruct_->params()),
BOOL_MEMBER(tosp_rule_9_test_punct, false,
"Don't chng kn to space next to punct", ccstruct_->params()),
BOOL_MEMBER(tosp_flip_fuzz_kn_to_sp, true, "Default flip",
ccstruct_->params()),
BOOL_MEMBER(tosp_flip_fuzz_sp_to_kn, true, "Default flip",
ccstruct_->params()),
BOOL_MEMBER(tosp_improve_thresh, false, "Enable improvement heuristic",
ccstruct_->params()),
INT_MEMBER(tosp_debug_level, 0, "Debug data", ccstruct_->params()),
INT_MEMBER(tosp_enough_space_samples_for_median, 3,
"or should we use mean", ccstruct_->params()),
INT_MEMBER(tosp_redo_kern_limit, 10,
"No.samples reqd to reestimate for row", ccstruct_->params()),
INT_MEMBER(tosp_few_samples, 40,
"No.gaps reqd with 1 large gap to treat as a table",
ccstruct_->params()),
INT_MEMBER(tosp_short_row, 20,
"No.gaps reqd with few cert spaces to use certs",
ccstruct_->params()),
INT_MEMBER(tosp_sanity_method, 1, "How to avoid being silly",
ccstruct_->params()),
double_MEMBER(tosp_old_sp_kn_th_factor, 2.0,
"Factor for defining space threshold in terms of space and "
"kern sizes",
ccstruct_->params()),
double_MEMBER(tosp_threshold_bias1, 0, "how far between kern and space?",
ccstruct_->params()),
double_MEMBER(tosp_threshold_bias2, 0, "how far between kern and space?",
ccstruct_->params()),
double_MEMBER(tosp_narrow_fraction, 0.3, "Fract of xheight for narrow",
ccstruct_->params()),
double_MEMBER(tosp_narrow_aspect_ratio, 0.48,
"narrow if w/h less than this", ccstruct_->params()),
double_MEMBER(tosp_wide_fraction, 0.52, "Fract of xheight for wide",
ccstruct_->params()),
double_MEMBER(tosp_wide_aspect_ratio, 0.0, "wide if w/h less than this",
ccstruct_->params()),
double_MEMBER(tosp_fuzzy_space_factor, 0.6,
"Fract of xheight for fuzz sp", ccstruct_->params()),
double_MEMBER(tosp_fuzzy_space_factor1, 0.5,
"Fract of xheight for fuzz sp", ccstruct_->params()),
double_MEMBER(tosp_fuzzy_space_factor2, 0.72,
"Fract of xheight for fuzz sp", ccstruct_->params()),
double_MEMBER(tosp_gap_factor, 0.83, "gap ratio to flip sp->kern",
ccstruct_->params()),
double_MEMBER(tosp_kern_gap_factor1, 2.0, "gap ratio to flip kern->sp",
ccstruct_->params()),
double_MEMBER(tosp_kern_gap_factor2, 1.3, "gap ratio to flip kern->sp",
ccstruct_->params()),
double_MEMBER(tosp_kern_gap_factor3, 2.5, "gap ratio to flip kern->sp",
ccstruct_->params()),
double_MEMBER(tosp_ignore_big_gaps, -1, "xht multiplier",
ccstruct_->params()),
double_MEMBER(tosp_ignore_very_big_gaps, 3.5, "xht multiplier",
ccstruct_->params()),
double_MEMBER(tosp_rep_space, 1.6, "rep gap multiplier for space",
ccstruct_->params()),
double_MEMBER(tosp_enough_small_gaps, 0.65,
"Fract of kerns reqd for isolated row stats",
ccstruct_->params()),
double_MEMBER(tosp_table_kn_sp_ratio, 2.25,
"Min difference of kn & sp in table", ccstruct_->params()),
double_MEMBER(tosp_table_xht_sp_ratio, 0.33,
"Expect spaces bigger than this", ccstruct_->params()),
double_MEMBER(tosp_table_fuzzy_kn_sp_ratio, 3.0,
"Fuzzy if less than this", ccstruct_->params()),
double_MEMBER(tosp_fuzzy_kn_fraction, 0.5, "New fuzzy kn alg",
ccstruct_->params()),
double_MEMBER(tosp_fuzzy_sp_fraction, 0.5, "New fuzzy sp alg",
ccstruct_->params()),
double_MEMBER(tosp_min_sane_kn_sp, 1.5,
"Don't trust spaces less than this time kn",
ccstruct_->params()),
double_MEMBER(tosp_init_guess_kn_mult, 2.2,
"Thresh guess - mult kn by this", ccstruct_->params()),
double_MEMBER(tosp_init_guess_xht_mult, 0.28,
"Thresh guess - mult xht by this", ccstruct_->params()),
double_MEMBER(tosp_max_sane_kn_thresh, 5.0,
"Multiplier on kn to limit thresh", ccstruct_->params()),
double_MEMBER(tosp_flip_caution, 0.0,
"Don't autoflip kn to sp when large separation",
ccstruct_->params()),
double_MEMBER(tosp_large_kerning, 0.19,
"Limit use of xht gap with large kns", ccstruct_->params()),
double_MEMBER(tosp_dont_fool_with_small_kerns, -1,
"Limit use of xht gap with odd small kns",
ccstruct_->params()),
double_MEMBER(tosp_near_lh_edge, 0,
"Don't reduce box if the top left is non blank",
ccstruct_->params()),
double_MEMBER(tosp_silly_kn_sp_gap, 0.2,
"Don't let sp minus kn get too small", ccstruct_->params()),
double_MEMBER(tosp_pass_wide_fuzz_sp_to_context, 0.75,
"How wide fuzzies need context", ccstruct_->params()),
// tordmain.cpp ///////////////////////////////////////////
BOOL_MEMBER(textord_no_rejects, false, "Don't remove noise blobs",
ccstruct_->params()),
BOOL_MEMBER(textord_show_blobs, false, "Display unsorted blobs",
ccstruct_->params()),
BOOL_MEMBER(textord_show_boxes, false, "Display unsorted blobs",
ccstruct_->params()),
INT_MEMBER(textord_max_noise_size, 7, "Pixel size of noise",
ccstruct_->params()),
INT_MEMBER(textord_baseline_debug, 0, "Baseline debug level",
ccstruct_->params()),
double_MEMBER(textord_blob_size_bigile, 95, "Percentile for large blobs",
ccstruct_->params()),
double_MEMBER(textord_noise_area_ratio, 0.7,
"Fraction of bounding box for noise", ccstruct_->params()),
double_MEMBER(textord_blob_size_smallile, 20,
"Percentile for small blobs", ccstruct_->params()),
double_MEMBER(textord_initialx_ile, 0.75,
"Ile of sizes for xheight guess", ccstruct_->params()),
double_MEMBER(textord_initialasc_ile, 0.90,
"Ile of sizes for xheight guess", ccstruct_->params()),
INT_MEMBER(textord_noise_sizefraction, 10, "Fraction of size for maxima",
ccstruct_->params()),
double_MEMBER(textord_noise_sizelimit, 0.5,
"Fraction of x for big t count", ccstruct_->params()),
INT_MEMBER(textord_noise_translimit, 16, "Transitions for normal blob",
ccstruct_->params()),
double_MEMBER(textord_noise_normratio, 2.0,
"Dot to norm ratio for deletion", ccstruct_->params()),
BOOL_MEMBER(textord_noise_rejwords, true, "Reject noise-like words",
ccstruct_->params()),
BOOL_MEMBER(textord_noise_rejrows, true, "Reject noise-like rows",
ccstruct_->params()),
double_MEMBER(textord_noise_syfract, 0.2,
"xh fract height error for norm blobs",
ccstruct_->params()),
double_MEMBER(textord_noise_sxfract, 0.4,
"xh fract width error for norm blobs", ccstruct_->params()),
double_MEMBER(textord_noise_hfract, 1.0 / 64,
"Height fraction to discard outlines as speckle noise",
ccstruct_->params()),
INT_MEMBER(textord_noise_sncount, 1, "super norm blobs to save row",
ccstruct_->params()),
double_MEMBER(textord_noise_rowratio, 6.0,
"Dot to norm ratio for deletion", ccstruct_->params()),
BOOL_MEMBER(textord_noise_debug, false, "Debug row garbage detector",
ccstruct_->params()),
double_MEMBER(textord_blshift_maxshift, 0.00, "Max baseline shift",
ccstruct_->params()),
double_MEMBER(textord_blshift_xfraction, 9.99,
"Min size of baseline shift", ccstruct_->params()) {}
Textord::~Textord() {
}
// Make the textlines and words inside each block.
void Textord::TextordPage(PageSegMode pageseg_mode, const FCOORD& reskew,
int width, int height, Pix* binary_pix,
Pix* thresholds_pix, Pix* grey_pix,
bool use_box_bottoms, BLOBNBOX_LIST* diacritic_blobs,
BLOCK_LIST* blocks, TO_BLOCK_LIST* to_blocks) {
page_tr_.set_x(width);
page_tr_.set_y(height);
if (to_blocks->empty()) {
// AutoPageSeg was not used, so we need to find_components first.
find_components(binary_pix, blocks, to_blocks);
TO_BLOCK_IT it(to_blocks);
for (it.mark_cycle_pt(); !it.cycled_list(); it.forward()) {
TO_BLOCK* to_block = it.data();
// Compute the edge offsets whether or not there is a grey_pix.
// We have by-passed auto page seg, so we have to run it here.
// By page segmentation mode there is no non-text to avoid running on.
to_block->ComputeEdgeOffsets(thresholds_pix, grey_pix);
}
} else if (!PSM_SPARSE(pageseg_mode)) {
// AutoPageSeg does not need to find_components as it did that already.
// Filter_blobs sets up the TO_BLOCKs the same as find_components does.
filter_blobs(page_tr_, to_blocks, true);
}
ASSERT_HOST(!to_blocks->empty());
if (pageseg_mode == PSM_SINGLE_BLOCK_VERT_TEXT) {
const FCOORD anticlockwise90(0.0f, 1.0f);
const FCOORD clockwise90(0.0f, -1.0f);
TO_BLOCK_IT it(to_blocks);
for (it.mark_cycle_pt(); !it.cycled_list(); it.forward()) {
TO_BLOCK* to_block = it.data();
BLOCK* block = to_block->block;
// Create a fake poly_block in block from its bounding box.
block->set_poly_block(new POLY_BLOCK(block->bounding_box(),
PT_VERTICAL_TEXT));
// Rotate the to_block along with its contained block and blobnbox lists.
to_block->rotate(anticlockwise90);
// Set the block's rotation values to obey the convention followed in
// layout analysis for vertical text.
block->set_re_rotation(clockwise90);
block->set_classify_rotation(clockwise90);
}
}
TO_BLOCK_IT to_block_it(to_blocks);
TO_BLOCK* to_block = to_block_it.data();
// Make the rows in the block.
float gradient;
// Do it the old fashioned way.
if (PSM_LINE_FIND_ENABLED(pageseg_mode)) {
gradient = make_rows(page_tr_, to_blocks);
} else if (!PSM_SPARSE(pageseg_mode)) {
// RAW_LINE, SINGLE_LINE, SINGLE_WORD and SINGLE_CHAR all need a single row.
gradient = make_single_row(page_tr_, pageseg_mode != PSM_RAW_LINE,
to_block, to_blocks);
} else {
gradient = 0.0f;
}
BaselineDetect baseline_detector(textord_baseline_debug,
reskew, to_blocks);
baseline_detector.ComputeStraightBaselines(use_box_bottoms);
baseline_detector.ComputeBaselineSplinesAndXheights(
page_tr_, pageseg_mode != PSM_RAW_LINE, textord_heavy_nr,
textord_show_final_rows, this);
// Now make the words in the lines.
if (PSM_WORD_FIND_ENABLED(pageseg_mode)) {
// SINGLE_LINE uses the old word maker on the single line.
make_words(this, page_tr_, gradient, blocks, to_blocks);
} else {
// SINGLE_WORD and SINGLE_CHAR cram all the blobs into a
// single word, and in SINGLE_CHAR mode, all the outlines
// go in a single blob.
TO_BLOCK* to_block = to_block_it.data();
make_single_word(pageseg_mode == PSM_SINGLE_CHAR,
to_block->get_rows(), to_block->block->row_list());
}
// Remove empties.
cleanup_blocks(PSM_WORD_FIND_ENABLED(pageseg_mode), blocks);
TransferDiacriticsToBlockGroups(diacritic_blobs, blocks);
// Compute the margins for each row in the block, to be used later for
// paragraph detection.
BLOCK_IT b_it(blocks);
for (b_it.mark_cycle_pt(); !b_it.cycled_list(); b_it.forward()) {
b_it.data()->compute_row_margins();
}
#ifndef GRAPHICS_DISABLED
close_to_win();
#endif
}
// If we were supposed to return only a single textline, and there is more
// than one, clean up and leave only the best.
void Textord::CleanupSingleRowResult(PageSegMode pageseg_mode,
PAGE_RES* page_res) {
if (PSM_LINE_FIND_ENABLED(pageseg_mode) || PSM_SPARSE(pageseg_mode))
return; // No cleanup required.
PAGE_RES_IT it(page_res);
// Find the best row, being the greatest mean word conf.
float row_total_conf = 0.0f;
int row_word_count = 0;
ROW_RES* best_row = NULL;
float best_conf = 0.0f;
for (it.restart_page(); it.word() != NULL; it.forward()) {
WERD_RES* word = it.word();
row_total_conf += word->best_choice->certainty();
++row_word_count;
if (it.next_row() != it.row()) {
row_total_conf /= row_word_count;
if (best_row == NULL || best_conf < row_total_conf) {
best_row = it.row();
best_conf = row_total_conf;
}
row_total_conf = 0.0f;
row_word_count = 0;
}
}
// Now eliminate any word not in the best row.
for (it.restart_page(); it.word() != NULL; it.forward()) {
if (it.row() != best_row)
it.DeleteCurrentWord();
}
}
} // namespace tesseract.
Reference in New Issue View Git Blame Copy Permalink