/********************************************************************** * File: pagesegmain.cpp * Description: Top-level page segmenter for Tesseract. * Author: Ray Smith * Created: Thu Sep 25 17:12:01 PDT 2008 * * (C) Copyright 2008, 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. * **********************************************************************/ #ifdef _WIN32 #ifndef unlink #include #endif #else #include #endif // _WIN32 #ifdef _MSC_VER #pragma warning(disable:4244) // Conversion warnings #endif // Include automatically generated configuration file if running autoconf. #ifdef HAVE_CONFIG_H #include "config_auto.h" #endif #include "allheaders.h" #include "blobbox.h" #include "blread.h" #include "colfind.h" #include "debugpixa.h" #include "equationdetect.h" #include "imagefind.h" #include "linefind.h" #include "makerow.h" #include "osdetect.h" #include "tabvector.h" #include "tesseractclass.h" #include "tessvars.h" #include "textord.h" #include "tordmain.h" #include "wordseg.h" namespace tesseract { // Max erosions to perform in removing an enclosing circle. const int kMaxCircleErosions = 8; // Helper to remove an enclosing circle from an image. // If there isn't one, then the image will most likely get badly mangled. // The returned pix must be pixDestroyed after use. NULL may be returned // if the image doesn't meet the trivial conditions that it uses to determine // success. static Pix* RemoveEnclosingCircle(Pix* pixs) { Pix* pixsi = pixInvert(NULL, pixs); Pix* pixc = pixCreateTemplate(pixs); pixSetOrClearBorder(pixc, 1, 1, 1, 1, PIX_SET); pixSeedfillBinary(pixc, pixc, pixsi, 4); pixInvert(pixc, pixc); pixDestroy(&pixsi); Pix* pixt = pixAnd(NULL, pixs, pixc); l_int32 max_count; pixCountConnComp(pixt, 8, &max_count); // The count has to go up before we start looking for the minimum. l_int32 min_count = MAX_INT32; Pix* pixout = NULL; for (int i = 1; i < kMaxCircleErosions; i++) { pixDestroy(&pixt); pixErodeBrick(pixc, pixc, 3, 3); pixt = pixAnd(NULL, pixs, pixc); l_int32 count; pixCountConnComp(pixt, 8, &count); if (i == 1 || count > max_count) { max_count = count; min_count = count; } else if (i > 1 && count < min_count) { min_count = count; pixDestroy(&pixout); pixout = pixCopy(NULL, pixt); // Save the best. } else if (count >= min_count) { break; // We have passed by the best. } } pixDestroy(&pixt); pixDestroy(&pixc); return pixout; } /** * Segment the page according to the current value of tessedit_pageseg_mode. * pix_binary_ is used as the source image and should not be NULL. * On return the blocks list owns all the constructed page layout. */ int Tesseract::SegmentPage(const STRING* input_file, BLOCK_LIST* blocks, Tesseract* osd_tess, OSResults* osr) { ASSERT_HOST(pix_binary_ != NULL); int width = pixGetWidth(pix_binary_); int height = pixGetHeight(pix_binary_); // Get page segmentation mode. PageSegMode pageseg_mode = static_cast( static_cast(tessedit_pageseg_mode)); // If a UNLV zone file can be found, use that instead of segmentation. if (!PSM_COL_FIND_ENABLED(pageseg_mode) && input_file != NULL && input_file->length() > 0) { STRING name = *input_file; const char* lastdot = strrchr(name.string(), '.'); if (lastdot != NULL) name[lastdot - name.string()] = '\0'; read_unlv_file(name, width, height, blocks); } if (blocks->empty()) { // No UNLV file present. Work according to the PageSegMode. // First make a single block covering the whole image. BLOCK_IT block_it(blocks); BLOCK* block = new BLOCK("", TRUE, 0, 0, 0, 0, width, height); block->set_right_to_left(right_to_left()); block_it.add_to_end(block); } else { // UNLV file present. Use PSM_SINGLE_BLOCK. pageseg_mode = PSM_SINGLE_BLOCK; } // The diacritic_blobs holds noise blobs that may be diacritics. They // are separated out on areas of the image that seem noisy and short-circuit // the layout process, going straight from the initial partition creation // right through to after word segmentation, where they are added to the // rej_cblobs list of the most appropriate word. From there classification // will determine whether they are used. BLOBNBOX_LIST diacritic_blobs; int auto_page_seg_ret_val = 0; TO_BLOCK_LIST to_blocks; if (PSM_OSD_ENABLED(pageseg_mode) || PSM_BLOCK_FIND_ENABLED(pageseg_mode) || PSM_SPARSE(pageseg_mode)) { auto_page_seg_ret_val = AutoPageSeg( pageseg_mode, blocks, &to_blocks, enable_noise_removal ? &diacritic_blobs : NULL, osd_tess, osr); if (pageseg_mode == PSM_OSD_ONLY) return auto_page_seg_ret_val; // To create blobs from the image region bounds uncomment this line: // to_blocks.clear(); // Uncomment to go back to the old mode. } else { deskew_ = FCOORD(1.0f, 0.0f); reskew_ = FCOORD(1.0f, 0.0f); if (pageseg_mode == PSM_CIRCLE_WORD) { Pix* pixcleaned = RemoveEnclosingCircle(pix_binary_); if (pixcleaned != NULL) { pixDestroy(&pix_binary_); pix_binary_ = pixcleaned; } } } if (auto_page_seg_ret_val < 0) { return -1; } if (blocks->empty()) { if (textord_debug_tabfind) tprintf("Empty page\n"); return 0; // AutoPageSeg found an empty page. } bool splitting = pageseg_devanagari_split_strategy != ShiroRekhaSplitter::NO_SPLIT; bool cjk_mode = textord_use_cjk_fp_model; textord_.TextordPage(pageseg_mode, reskew_, width, height, pix_binary_, pix_thresholds_, pix_grey_, splitting || cjk_mode, &diacritic_blobs, blocks, &to_blocks); return auto_page_seg_ret_val; } /** * Auto page segmentation. Divide the page image into blocks of uniform * text linespacing and images. * * Resolution (in ppi) is derived from the input image. * * The output goes in the blocks list with corresponding TO_BLOCKs in the * to_blocks list. * * If !PSM_COL_FIND_ENABLED(pageseg_mode), then no attempt is made to divide * the image into columns, but multiple blocks are still made if the text is * of non-uniform linespacing. * * If diacritic_blobs is non-null, then diacritics/noise blobs, that would * confuse layout anaylsis by causing textline overlap, are placed there, * with the expectation that they will be reassigned to words later and * noise/diacriticness determined via classification. * * If osd (orientation and script detection) is true then that is performed * as well. If only_osd is true, then only orientation and script detection is * performed. If osd is desired, (osd or only_osd) then osr_tess must be * another Tesseract that was initialized especially for osd, and the results * will be output into osr (orientation and script result). */ int Tesseract::AutoPageSeg(PageSegMode pageseg_mode, BLOCK_LIST* blocks, TO_BLOCK_LIST* to_blocks, BLOBNBOX_LIST* diacritic_blobs, Tesseract* osd_tess, OSResults* osr) { Pix* photomask_pix = NULL; Pix* musicmask_pix = NULL; // The blocks made by the ColumnFinder. Moved to blocks before return. BLOCK_LIST found_blocks; TO_BLOCK_LIST temp_blocks; ColumnFinder* finder = SetupPageSegAndDetectOrientation( pageseg_mode, blocks, osd_tess, osr, &temp_blocks, &photomask_pix, &musicmask_pix); int result = 0; if (finder != NULL) { TO_BLOCK_IT to_block_it(&temp_blocks); TO_BLOCK* to_block = to_block_it.data(); if (musicmask_pix != NULL) { // TODO(rays) pass the musicmask_pix into FindBlocks and mark music // blocks separately. For now combine with photomask_pix. pixOr(photomask_pix, photomask_pix, musicmask_pix); } if (equ_detect_) { finder->SetEquationDetect(equ_detect_); } result = finder->FindBlocks(pageseg_mode, scaled_color_, scaled_factor_, to_block, photomask_pix, pix_thresholds_, pix_grey_, &pixa_debug_, &found_blocks, diacritic_blobs, to_blocks); if (result >= 0) finder->GetDeskewVectors(&deskew_, &reskew_); delete finder; } pixDestroy(&photomask_pix); pixDestroy(&musicmask_pix); if (result < 0) return result; blocks->clear(); BLOCK_IT block_it(blocks); // Move the found blocks to the input/output blocks. block_it.add_list_after(&found_blocks); return result; } // Helper adds all the scripts from sid_set converted to ids from osd_set to // allowed_ids. static void AddAllScriptsConverted(const UNICHARSET& sid_set, const UNICHARSET& osd_set, GenericVector* allowed_ids) { for (int i = 0; i < sid_set.get_script_table_size(); ++i) { if (i != sid_set.null_sid()) { const char* script = sid_set.get_script_from_script_id(i); allowed_ids->push_back(osd_set.get_script_id_from_name(script)); } } } /** * Sets up auto page segmentation, determines the orientation, and corrects it. * Somewhat arbitrary chunk of functionality, factored out of AutoPageSeg to * facilitate testing. * photo_mask_pix is a pointer to a NULL pointer that will be filled on return * with the leptonica photo mask, which must be pixDestroyed by the caller. * to_blocks is an empty list that will be filled with (usually a single) * block that is used during layout analysis. This ugly API is required * because of the possibility of a unlv zone file. * TODO(rays) clean this up. * See AutoPageSeg for other arguments. * The returned ColumnFinder must be deleted after use. */ ColumnFinder* Tesseract::SetupPageSegAndDetectOrientation( PageSegMode pageseg_mode, BLOCK_LIST* blocks, Tesseract* osd_tess, OSResults* osr, TO_BLOCK_LIST* to_blocks, Pix** photo_mask_pix, Pix** music_mask_pix) { int vertical_x = 0; int vertical_y = 1; TabVector_LIST v_lines; TabVector_LIST h_lines; ICOORD bleft(0, 0); ASSERT_HOST(pix_binary_ != NULL); if (tessedit_dump_pageseg_images) { pixa_debug_.AddPix(pix_binary_, "PageSegInput"); } // Leptonica is used to find the rule/separator lines in the input. LineFinder::FindAndRemoveLines(source_resolution_, textord_tabfind_show_vlines, pix_binary_, &vertical_x, &vertical_y, music_mask_pix, &v_lines, &h_lines); if (tessedit_dump_pageseg_images) { pixa_debug_.AddPix(pix_binary_, "NoLines"); } // Leptonica is used to find a mask of the photo regions in the input. *photo_mask_pix = ImageFind::FindImages(pix_binary_, &pixa_debug_); if (tessedit_dump_pageseg_images) { pixa_debug_.AddPix(pix_binary_, "NoImages"); } if (!PSM_COL_FIND_ENABLED(pageseg_mode)) v_lines.clear(); // The rest of the algorithm uses the usual connected components. textord_.find_components(pix_binary_, blocks, to_blocks); TO_BLOCK_IT to_block_it(to_blocks); // There must be exactly one input block. // TODO(rays) handle new textline finding with a UNLV zone file. ASSERT_HOST(to_blocks->singleton()); TO_BLOCK* to_block = to_block_it.data(); TBOX blkbox = to_block->block->bounding_box(); ColumnFinder* finder = NULL; if (to_block->line_size >= 2) { finder = new ColumnFinder(static_cast(to_block->line_size), blkbox.botleft(), blkbox.topright(), source_resolution_, textord_use_cjk_fp_model, textord_tabfind_aligned_gap_fraction, &v_lines, &h_lines, vertical_x, vertical_y); finder->SetupAndFilterNoise(pageseg_mode, *photo_mask_pix, to_block); if (equ_detect_) { equ_detect_->LabelSpecialText(to_block); } BLOBNBOX_CLIST osd_blobs; // osd_orientation is the number of 90 degree rotations to make the // characters upright. (See osdetect.h for precise definition.) // We want the text lines horizontal, (vertical text indicates vertical // textlines) which may conflict (eg vertically written CJK). int osd_orientation = 0; bool vertical_text = textord_tabfind_force_vertical_text || pageseg_mode == PSM_SINGLE_BLOCK_VERT_TEXT; if (!vertical_text && textord_tabfind_vertical_text && PSM_ORIENTATION_ENABLED(pageseg_mode)) { vertical_text = finder->IsVerticallyAlignedText(textord_tabfind_vertical_text_ratio, to_block, &osd_blobs); } if (PSM_OSD_ENABLED(pageseg_mode) && osd_tess != NULL && osr != NULL) { GenericVector osd_scripts; if (osd_tess != this) { // We are running osd as part of layout analysis, so constrain the // scripts to those allowed by *this. AddAllScriptsConverted(unicharset, osd_tess->unicharset, &osd_scripts); for (int s = 0; s < sub_langs_.size(); ++s) { AddAllScriptsConverted(sub_langs_[s]->unicharset, osd_tess->unicharset, &osd_scripts); } } os_detect_blobs(&osd_scripts, &osd_blobs, osr, osd_tess); if (pageseg_mode == PSM_OSD_ONLY) { delete finder; return NULL; } osd_orientation = osr->best_result.orientation_id; double osd_score = osr->orientations[osd_orientation]; double osd_margin = min_orientation_margin * 2; for (int i = 0; i < 4; ++i) { if (i != osd_orientation && osd_score - osr->orientations[i] < osd_margin) { osd_margin = osd_score - osr->orientations[i]; } } int best_script_id = osr->best_result.script_id; const char* best_script_str = osd_tess->unicharset.get_script_from_script_id(best_script_id); bool cjk = best_script_id == osd_tess->unicharset.han_sid() || best_script_id == osd_tess->unicharset.hiragana_sid() || best_script_id == osd_tess->unicharset.katakana_sid() || strcmp("Japanese", best_script_str) == 0 || strcmp("Korean", best_script_str) == 0 || strcmp("Hangul", best_script_str) == 0; if (cjk) { finder->set_cjk_script(true); } if (osd_margin < min_orientation_margin) { // The margin is weak. if (!cjk && !vertical_text && osd_orientation == 2) { // upside down latin text is improbable with such a weak margin. tprintf("OSD: Weak margin (%.2f), horiz textlines, not CJK: " "Don't rotate.\n", osd_margin); osd_orientation = 0; } else { tprintf( "OSD: Weak margin (%.2f) for %d blob text block, " "but using orientation anyway: %d\n", osd_margin, osd_blobs.length(), osd_orientation); } } } osd_blobs.shallow_clear(); finder->CorrectOrientation(to_block, vertical_text, osd_orientation); } return finder; } } // namespace tesseract.