tesseract/textord/devanagari_processing.cpp

/**********************************************************************
 * File:        devanagari_processing.cpp
 * Description: Methods to process images containing devanagari symbols,
 *              prior to classification.
 * Author:      Shobhit Saxena
 * Created:     Mon Nov 17 20:26:01 IST 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.
 *
 **********************************************************************/

#include "devanagari_processing.h"
#include "allheaders.h"
#include "tordmain.h"
#include "img.h"
#include "statistc.h"

// Flags controlling the debugging information for shiro-rekha splitting
// strategies.
INT_VAR(devanagari_split_debuglevel, 0,
        "Debug level for split shiro-rekha process.");

BOOL_VAR(devanagari_split_debugimage, 0,
         "Whether to create a debug image for split shiro-rekha process.");

namespace tesseract {

ShiroRekhaSplitter::ShiroRekhaSplitter() {
  orig_pix_ = NULL;
  segmentation_block_list_ = NULL;
  splitted_image_ = NULL;
  global_xheight_ = kUnspecifiedXheight;
  perform_close_ = false;
  debug_image_ = NULL;
  pageseg_split_strategy_ = NO_SPLIT;
  ocr_split_strategy_ = NO_SPLIT;
}

ShiroRekhaSplitter::~ShiroRekhaSplitter() {
  Clear();
}

void ShiroRekhaSplitter::Clear() {
  pixDestroy(&orig_pix_);
  pixDestroy(&splitted_image_);
  pageseg_split_strategy_ = NO_SPLIT;
  ocr_split_strategy_ = NO_SPLIT;
  pixDestroy(&debug_image_);
  segmentation_block_list_ = NULL;
  global_xheight_ = kUnspecifiedXheight;
  perform_close_ = false;
}

// This method dumps a debug image to the specified location.
void ShiroRekhaSplitter::DumpDebugImage(const char* filename) const {
  pixWrite(filename, debug_image_, IFF_PNG);
}

// On setting the input image, a clone of it is owned by this class.
void ShiroRekhaSplitter::set_orig_pix(Pix* pix) {
  if (orig_pix_) {
    pixDestroy(&orig_pix_);
  }
  orig_pix_ = pixClone(pix);
}

// Top-level method to perform splitting based on current settings.
// Returns true if a split was actually performed.
// split_for_pageseg should be true if the splitting is being done prior to
// page segmentation. This mode uses the flag
// pageseg_devanagari_split_strategy to determine the splitting strategy.
bool ShiroRekhaSplitter::Split(bool split_for_pageseg) {
  SplitStrategy split_strategy = split_for_pageseg ? pageseg_split_strategy_ :
      ocr_split_strategy_;
  if (split_strategy == NO_SPLIT) {
    return false;  // Nothing to do.
  }
  ASSERT_HOST(split_strategy == MINIMAL_SPLIT ||
              split_strategy == MAXIMAL_SPLIT);
  ASSERT_HOST(orig_pix_);
  if (devanagari_split_debuglevel > 0) {
    tprintf("Splitting shiro-rekha ...\n");
    tprintf("Split strategy = %s\n",
            split_strategy == MINIMAL_SPLIT ? "Minimal" : "Maximal");
    tprintf("Initial pageseg available = %s\n",
            segmentation_block_list_ ? "yes" : "no");
  }
  // Create a copy of original image to store the splitting output.
  pixDestroy(&splitted_image_);
  splitted_image_ = pixCopy(NULL, orig_pix_);

  // Initialize debug image if required.
  if (devanagari_split_debugimage) {
    pixDestroy(&debug_image_);
    debug_image_ = pixConvertTo32(orig_pix_);
  }

  // Determine all connected components in the input image. A close operation
  // may be required prior to this, depending on the current settings.
  Pix* pix_for_ccs = pixClone(orig_pix_);
  if (perform_close_ && global_xheight_ != kUnspecifiedXheight &&
      !segmentation_block_list_) {
    if (devanagari_split_debuglevel > 0) {
      tprintf("Performing a global close operation..\n");
    }
    // A global measure is available for xheight, but no local information
    // exists.
    pixDestroy(&pix_for_ccs);
    pix_for_ccs = pixCopy(NULL, orig_pix_);
    PerformClose(pix_for_ccs, global_xheight_);
  }
  Pixa* ccs;
  Boxa* tmp_boxa = pixConnComp(pix_for_ccs, &ccs, 8);
  boxaDestroy(&tmp_boxa);
  pixDestroy(&pix_for_ccs);

  // Iterate over all connected components. Get their bounding boxes and clip
  // out the image regions corresponding to these boxes from the original image.
  // Conditionally run splitting on each of them.
  Boxa* regions_to_clear = boxaCreate(0);
  for (int i = 0; i < pixaGetCount(ccs); ++i) {
    Box* box = ccs->boxa->box[i];
    Pix* word_pix = pixClipRectangle(orig_pix_, box, NULL);
    ASSERT_HOST(word_pix);
    int xheight = GetXheightForCC(box);
    if (xheight == kUnspecifiedXheight && segmentation_block_list_ &&
        devanagari_split_debugimage) {
      pixRenderBoxArb(debug_image_, box, 1, 255, 0, 0);
    }
    // If some xheight measure is available, attempt to pre-eliminate small
    // blobs from the shiro-rekha process. This is primarily to save the CCs
    // corresponding to punctuation marks/small dots etc which are part of
    // larger graphemes.
    if (xheight == kUnspecifiedXheight ||
        (box->w > xheight / 3 && box->h > xheight / 2)) {
      SplitWordShiroRekha(split_strategy, word_pix, xheight,
                          box->x, box->y, regions_to_clear);
    } else if (devanagari_split_debuglevel > 0) {
      tprintf("CC dropped from splitting: %d,%d (%d, %d)\n",
              box->x, box->y, box->w, box->h);
    }
    pixDestroy(&word_pix);
  }
  // Actually clear the boxes now.
  for (int i = 0; i < boxaGetCount(regions_to_clear); ++i) {
    Box* box = boxaGetBox(regions_to_clear, i, L_CLONE);
    pixClearInRect(splitted_image_, box);
    boxDestroy(&box);
  }
  boxaDestroy(&regions_to_clear);
  pixaDestroy(&ccs);
  if (devanagari_split_debugimage) {
    DumpDebugImage(split_for_pageseg ? "pageseg_split_debug.png" :
                   "ocr_split_debug.png");
  }
  return true;
}

// Method to perform a close operation on the input image. The xheight
// estimate decides the size of sel used.
void ShiroRekhaSplitter::PerformClose(Pix* pix, int xheight_estimate) {
  pixCloseBrick(pix, pix, xheight_estimate / 8, xheight_estimate / 3);
}

// This method resolves the cc bbox to a particular row and returns the row's
// xheight.
int ShiroRekhaSplitter::GetXheightForCC(Box* cc_bbox) {
  if (!segmentation_block_list_) {
    return global_xheight_;
  }
  // Compute the box coordinates in Tesseract's coordinate system.
  TBOX bbox(cc_bbox->x,
            pixGetHeight(orig_pix_) - cc_bbox->y - cc_bbox->h - 1,
            cc_bbox->x + cc_bbox->w,
            pixGetHeight(orig_pix_) - cc_bbox->y - 1);
  // Iterate over all blocks.
  BLOCK_IT block_it(segmentation_block_list_);
  for (block_it.mark_cycle_pt(); !block_it.cycled_list(); block_it.forward()) {
    BLOCK* block = block_it.data();
    // Iterate over all rows in the block.
    ROW_IT row_it(block->row_list());
    for (row_it.mark_cycle_pt(); !row_it.cycled_list(); row_it.forward()) {
      ROW* row = row_it.data();
      if (!row->bounding_box().major_overlap(bbox)) {
        continue;
      }
      // Row could be skewed, warped, etc. Use the position of the box to
      // determine the baseline position of the row for that x-coordinate.
      // Create a square TBOX whose baseline's mid-point lies at this point
      // and side is row's xheight. Take the overlap of this box with the input
      // box and check if it is a 'major overlap'. If so, this box lies in this
      // row. In that case, return the xheight for this row.
      float box_middle = 0.5 * (bbox.left() + bbox.right());
      int baseline = static_cast<int>(row->base_line(box_middle) + 0.5);
      TBOX test_box(box_middle - row->x_height() / 2,
                    baseline,
                    box_middle + row->x_height() / 2,
                    static_cast<int>(baseline + row->x_height()));
      // Compute overlap. If it is is a major overlap, this is the right row.
      if (bbox.major_overlap(test_box)) {
        return row->x_height();
      }
    }
  }
  // No row found for this bbox.
  return kUnspecifiedXheight;
}

// Returns a list of regions (boxes) which should be cleared in the original
// image so as to perform shiro-rekha splitting. Pix is assumed to carry one
// (or less) word only. Xheight measure could be the global estimate, the row
// estimate, or unspecified. If unspecified, over splitting may occur, since a
// conservative estimate of stroke width along with an associated multiplier
// is used in its place. It is advisable to have a specified xheight when
// splitting for classification/training.
// A vertical projection histogram of all the on-pixels in the input pix is
// computed. The maxima of this histogram is regarded as an approximate location
// of the shiro-rekha. By descending on the maxima's peak on both sides,
// stroke width of shiro-rekha is estimated.
// A horizontal projection histogram is computed for a sub-image of the input
// image, which extends from just below the shiro-rekha down to a certain
// leeway. The leeway depends on the input xheight, if provided, else a
// conservative multiplier on approximate stroke width is used (which may lead
// to over-splitting).
void ShiroRekhaSplitter::SplitWordShiroRekha(SplitStrategy split_strategy,
                                             Pix* pix,
                                             int xheight,
                                             int word_left,
                                             int word_top,
                                             Boxa* regions_to_clear) {
  if (split_strategy == NO_SPLIT) {
    return;
  }
  int width = pixGetWidth(pix);
  int height = pixGetHeight(pix);
  // Statistically determine the yextents of the shiro-rekha.
  int shirorekha_top, shirorekha_bottom, shirorekha_ylevel;
  GetShiroRekhaYExtents(pix, &shirorekha_top, &shirorekha_bottom,
                        &shirorekha_ylevel);
  // Since the shiro rekha is also a stroke, its width is equal to the stroke
  // width.
  int stroke_width = shirorekha_bottom - shirorekha_top + 1;

  // Some safeguards to protect CCs we do not want to be split.
  // These are particularly useful when the word wasn't eliminated earlier
  // because xheight information was unavailable.
  if (shirorekha_ylevel > height / 2) {
    // Shirorekha shouldn't be in the bottom half of the word.
    if (devanagari_split_debuglevel > 0) {
      tprintf("Skipping splitting CC at (%d, %d): shirorekha in lower half..\n",
              word_left, word_top);
    }
    return;
  }
  if (stroke_width > height / 3) {
    // Even the boldest of fonts shouldn't do this.
    if (devanagari_split_debuglevel > 0) {
      tprintf("Skipping splitting CC at (%d, %d): stroke width too huge..\n",
              word_left, word_top);
    }
    return;
  }

  // Clear the ascender and descender regions of the word.
  // Obtain a vertical projection histogram for the resulting image.
  Box* box_to_clear = boxCreate(0, shirorekha_top - stroke_width / 3,
                                width, 5 * stroke_width / 3);
  Pix* word_in_xheight = pixCopy(NULL, pix);
  pixClearInRect(word_in_xheight, box_to_clear);
  // Also clear any pixels which are below shirorekha_bottom + some leeway.
  // The leeway is set to xheight if the information is available, else it is a
  // multiplier applied to the stroke width.
  int leeway_to_keep = stroke_width * 3;
  if (xheight != kUnspecifiedXheight) {
    // This is because the xheight-region typically includes the shiro-rekha
    // inside it, i.e., the top of the xheight range corresponds to the top of
    // shiro-rekha.
    leeway_to_keep = xheight - stroke_width;
  }
  box_to_clear->y = shirorekha_bottom + leeway_to_keep;
  box_to_clear->h = height - box_to_clear->y;
  pixClearInRect(word_in_xheight, box_to_clear);
  boxDestroy(&box_to_clear);

  PixelHistogram vert_hist;
  vert_hist.ConstructVerticalCountHist(word_in_xheight);
  pixDestroy(&word_in_xheight);

  // If the number of black pixel in any column of the image is less than a
  // fraction of the stroke width, treat it as noise / a stray mark. Perform
  // these changes inside the vert_hist data itself, as that is used later on as
  // a bit vector for the final split decision at every column.
  for (int i = 0; i < width; ++i) {
    if (vert_hist.hist()[i] <= stroke_width / 4)
      vert_hist.hist()[i] = 0;
    else
      vert_hist.hist()[i] = 1;
  }
  // In order to split the line at any point, we make sure that the width of the
  // gap is atleast half the stroke width.
  int i = 0;
  int cur_component_width = 0;
  while (i < width) {
    if (!vert_hist.hist()[i]) {
      int j = 0;
      while (i + j < width && !vert_hist.hist()[i+j])
        ++j;
      if (j >= stroke_width / 2 && cur_component_width >= stroke_width / 2) {
        // Perform a shiro-rekha split. The intervening region lies from i to
        // i+j-1.
        // A minimal single-pixel split makes the estimation of intra- and
        // inter-word spacing easier during page layout analysis,
        // whereas a maximal split may be needed for OCR, depending on
        // how the engine was trained.
        bool minimal_split = (split_strategy == MINIMAL_SPLIT);
        int split_width = minimal_split ? 1 : j;
        int split_left = minimal_split ? i + (j / 2) - (split_width / 2) : i;
        if (!minimal_split || (i != 0 && i + j != width)) {
          Box* box_to_clear =
              boxCreate(word_left + split_left,
                        word_top + shirorekha_top - stroke_width / 3,
                        split_width,
                        5 * stroke_width / 3);
          if (box_to_clear) {
            boxaAddBox(regions_to_clear, box_to_clear, L_CLONE);
            // Mark this in the debug image if needed.
            if (devanagari_split_debugimage) {
              pixRenderBoxArb(debug_image_, box_to_clear, 1, 128, 255, 128);
            }
            boxDestroy(&box_to_clear);
            cur_component_width = 0;
          }
        }
      }
      i += j;
    } else {
      ++i;
      ++cur_component_width;
    }
  }
}

// Refreshes the words in the segmentation block list by using blobs in the
// input block list.
// The segmentation block list must be set.
void ShiroRekhaSplitter::RefreshSegmentationWithNewBlobs(
    C_BLOB_LIST* new_blobs) {
  // The segmentation block list must have been specified.
  ASSERT_HOST(segmentation_block_list_);
  if (devanagari_split_debuglevel > 0) {
    tprintf("Before refreshing blobs:\n");
    PrintSegmentationStats(segmentation_block_list_);
    tprintf("New Blobs found: %d\n", new_blobs->length());
  }

  C_BLOB_LIST not_found_blobs;
  RefreshWordBlobsFromNewBlobs(segmentation_block_list_,
                               new_blobs,
                               ((devanagari_split_debugimage && debug_image_) ?
                                &not_found_blobs : NULL));

  if (devanagari_split_debuglevel > 0) {
    tprintf("After refreshing blobs:\n");
    PrintSegmentationStats(segmentation_block_list_);
  }
  if (devanagari_split_debugimage && debug_image_) {
    // Plot out the original blobs for which no match was found in the new
    // all_blobs list.
    C_BLOB_IT not_found_it(&not_found_blobs);
    for (not_found_it.mark_cycle_pt(); !not_found_it.cycled_list();
         not_found_it.forward()) {
      C_BLOB* not_found = not_found_it.data();
      TBOX not_found_box = not_found->bounding_box();
      Box* box_to_plot = GetBoxForTBOX(not_found_box);
      pixRenderBoxArb(debug_image_, box_to_plot, 1, 255, 0, 255);
      boxDestroy(&box_to_plot);
    }

    // Plot out the blobs unused from all blobs.
    C_BLOB_IT all_blobs_it(new_blobs);
    for (all_blobs_it.mark_cycle_pt(); !all_blobs_it.cycled_list();
         all_blobs_it.forward()) {
      C_BLOB* a_blob = all_blobs_it.data();
      Box* box_to_plot = GetBoxForTBOX(a_blob->bounding_box());
      pixRenderBoxArb(debug_image_, box_to_plot, 3, 0, 127, 0);
      boxDestroy(&box_to_plot);
    }
  }
}

// Returns a new box object for the corresponding TBOX, based on the original
// image's coordinate system.
Box* ShiroRekhaSplitter::GetBoxForTBOX(const TBOX& tbox) const {
  return boxCreate(tbox.left(), pixGetHeight(orig_pix_) - tbox.top() - 1,
                   tbox.width(), tbox.height());
}

// This method returns the computed mode-height of blobs in the pix.
// It also prunes very small blobs from calculation.
int ShiroRekhaSplitter::GetModeHeight(Pix* pix) {
  Boxa* boxa = pixConnComp(pix, NULL, 8);
  STATS heights(0, pixGetHeight(pix));
  heights.clear();
  for (int i = 0; i < boxaGetCount(boxa); ++i) {
    Box* box = boxaGetBox(boxa, i, L_CLONE);
    if (box->h >= 3 || box->w >= 3) {
      heights.add(box->h, 1);
    }
    boxDestroy(&box);
  }
  boxaDestroy(&boxa);
  return heights.mode();
}

// This method returns y-extents of the shiro-rekha computed from the input
// word image.
void ShiroRekhaSplitter::GetShiroRekhaYExtents(Pix* word_pix,
                                               int* shirorekha_top,
                                               int* shirorekha_bottom,
                                               int* shirorekha_ylevel) {
  // Compute a histogram from projecting the word on a vertical line.
  PixelHistogram hist_horiz;
  hist_horiz.ConstructHorizontalCountHist(word_pix);
  // Get the ylevel where the top-line exists. This is basically the global
  // maxima in the horizontal histogram.
  int topline_onpixel_count = 0;
  int topline_ylevel = hist_horiz.GetHistogramMaximum(&topline_onpixel_count);

  // Get the upper and lower extents of the shiro rekha.
  int thresh = (topline_onpixel_count * 70) / 100;
  int ulimit = topline_ylevel;
  int llimit = topline_ylevel;
  while (ulimit > 0 && hist_horiz.hist()[ulimit] >= thresh)
    --ulimit;
  while (llimit < word_pix->h && hist_horiz.hist()[llimit] >= thresh)
    ++llimit;

  if (shirorekha_top) *shirorekha_top = ulimit;
  if (shirorekha_bottom) *shirorekha_bottom = llimit;
  if (shirorekha_ylevel) *shirorekha_ylevel = topline_ylevel;
}

// This method returns the global-maxima for the histogram. The frequency of
// the global maxima is returned in count, if specified.
int PixelHistogram::GetHistogramMaximum(int* count) const {
  int best_value = 0;
  for (int i = 0; i < length_; ++i) {
    if (hist_[i] > hist_[best_value]) {
      best_value = i;
    }
  }
  if (count) {
    *count = hist_[best_value];
  }
  return best_value;
}

// Methods to construct histograms from images.
void PixelHistogram::ConstructVerticalCountHist(Pix* pix) {
  Clear();
  int width = pixGetWidth(pix);
  int height = pixGetHeight(pix);
  hist_ = new int[width];
  length_ = width;
  int wpl = pixGetWpl(pix);
  l_uint32 *data = pixGetData(pix);
  for (int i = 0; i < width; ++i)
    hist_[i] = 0;
  for (int i = 0; i < height; ++i) {
    l_uint32 *line = data + i * wpl;
    for (int j = 0; j < width; ++j)
      if (GET_DATA_BIT(line, j))
        ++(hist_[j]);
  }
}

void PixelHistogram::ConstructHorizontalCountHist(Pix* pix) {
  Clear();
  Numa* counts = pixCountPixelsByRow(pix, NULL);
  length_ = numaGetCount(counts);
  hist_ = new int[length_];
  for (int i = 0; i < length_; ++i) {
    l_int32 val = 0;
    numaGetIValue(counts, i, &val);
    hist_[i] = val;
  }
  numaDestroy(&counts);
}

}  // namespace tesseract.