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git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@648 d0cd1f9f-072b-0410-8dd7-cf729c803f20
207 lines
10 KiB
C++
207 lines
10 KiB
C++
// Copyright 2011 Google Inc. All Rights Reserved.
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// Author: rays@google.com (Ray Smith)
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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// http://www.apache.org/licenses/LICENSE-2.0
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#ifndef TESSERACT_TEXTORD_TEXTLINEPROJECTION_H_
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#define TESSERACT_TEXTORD_TEXTLINEPROJECTION_H_
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#include "blobgrid.h" // For BlobGrid
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class DENORM;
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struct Pix;
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struct TPOINT;
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namespace tesseract {
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class ColPartition;
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// Simple class to encapsulate the computation of an image representing
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// local textline density, and function(s) to make use of it.
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// The underlying principle is that if you smear connected components
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// horizontally (vertically for components on a vertically written textline)
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// and count the number of smeared components in an image, then the resulting
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// image shows the density of the textlines at each image position.
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class TextlineProjection {
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public:
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// The down-scaling factor is computed to obtain a projection resolution
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// of about 100 dpi, whatever the input.
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explicit TextlineProjection(int resolution);
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~TextlineProjection();
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// Build the projection profile given the input_block containing lists of
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// blobs, a rotation to convert to image coords,
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// and a full-resolution nontext_map, marking out areas to avoid.
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// During construction, we have the following assumptions:
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// The rotation is a multiple of 90 degrees, ie no deskew yet.
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// The blobs have had their left and right rules set to also limit
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// the range of projection.
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void ConstructProjection(TO_BLOCK* input_block,
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const FCOORD& rotation, Pix* nontext_map);
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// Display the blobs in the window colored according to textline quality.
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void PlotGradedBlobs(BLOBNBOX_LIST* blobs, ScrollView* win);
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// Moves blobs that look like they don't sit well on a textline from the
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// input blobs list to the output small_blobs list.
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// This gets them away from initial textline finding to stop diacritics
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// from forming incorrect textlines. (Introduced mainly to fix Thai.)
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void MoveNonTextlineBlobs(BLOBNBOX_LIST* blobs,
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BLOBNBOX_LIST* small_blobs) const;
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// Create a window and display the projection in it.
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void DisplayProjection() const;
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// Compute the distance of the box from the partition using curved projection
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// space. As DistanceOfBoxFromBox, except that the direction is taken from
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// the ColPartition and the median bounds of the ColPartition are used as
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// the to_box.
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int DistanceOfBoxFromPartition(const TBOX& box, const ColPartition& part,
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const DENORM* denorm, bool debug) const;
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// Compute the distance from the from_box to the to_box using curved
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// projection space. Separation that involves a decrease in projection
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// density (moving from the from_box to the to_box) is weighted more heavily
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// than constant density, and an increase is weighted less.
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// If horizontal_textline is true, then curved space is used vertically,
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// as for a diacritic on the edge of a textline.
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// The projection uses original image coords, so denorm is used to get
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// back to the image coords from box/part space.
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int DistanceOfBoxFromBox(const TBOX& from_box, const TBOX& to_box,
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bool horizontal_textline,
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const DENORM* denorm, bool debug) const;
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// Compute the distance between (x, y1) and (x, y2) using the rule that
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// a decrease in textline density is weighted more heavily than an increase.
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// The coordinates are in source image space, ie processed by any denorm
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// already, but not yet scaled by scale_factor_.
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// Going from the outside of a textline to the inside should measure much
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// less distance than going from the inside of a textline to the outside.
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int VerticalDistance(bool debug, int x, int y1, int y2) const;
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// Compute the distance between (x1, y) and (x2, y) using the rule that
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// a decrease in textline density is weighted more heavily than an increase.
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int HorizontalDistance(bool debug, int x1, int x2, int y) const;
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// Returns true if the blob appears to be outside of a horizontal textline.
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// Such blobs are potentially diacritics (even if large in Thai) and should
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// be kept away from initial textline finding.
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bool BoxOutOfHTextline(const TBOX& box, const DENORM* denorm,
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bool debug) const;
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// Evaluates the textlineiness of a ColPartition. Uses EvaluateBox below,
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// but uses the median top/bottom for horizontal and median left/right for
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// vertical instead of the bounding box edges.
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// Evaluates for both horizontal and vertical and returns the best result,
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// with a positive value for horizontal and a negative value for vertical.
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int EvaluateColPartition(const ColPartition& part, const DENORM* denorm,
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bool debug) const;
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// Computes the mean projection gradients over the horizontal and vertical
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// edges of the box:
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// -h-h-h-h-h-h
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// |------------| mean=htop -v|+v--------+v|-v
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// |+h+h+h+h+h+h| -v|+v +v|-v
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// | | -v|+v +v|-v
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// | box | -v|+v box +v|-v
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// | | -v|+v +v|-v
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// |+h+h+h+h+h+h| -v|+v +v|-v
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// |------------| mean=hbot -v|+v--------+v|-v
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// -h-h-h-h-h-h
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// mean=vleft mean=vright
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//
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// Returns MAX(htop,hbot) - MAX(vleft,vright), which is a positive number
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// for a horizontal textline, a negative number for a vertical textline,
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// and near zero for undecided. Undecided is most likely non-text.
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int EvaluateBox(const TBOX& box, const DENORM* denorm, bool debug) const;
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private:
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// Internal version of EvaluateBox returns the unclipped gradients as well
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// as the result of EvaluateBox.
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// hgrad1 and hgrad2 are the gradients for the horizontal textline.
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int EvaluateBoxInternal(const TBOX& box, const DENORM* denorm, bool debug,
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int* hgrad1, int* hgrad2,
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int* vgrad1, int* vgrad2) const;
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// Helper returns the mean gradient value for the horizontal row at the given
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// y, (in the external coordinates) by subtracting the mean of the transformed
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// row 2 pixels above from the mean of the transformed row 2 pixels below.
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// This gives a positive value for a good top edge and negative for bottom.
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// Returns the best result out of +2/-2, +3/-1, +1/-3 pixels from the edge.
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int BestMeanGradientInRow(const DENORM* denorm, inT16 min_x, inT16 max_x,
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inT16 y, bool best_is_max) const;
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// Helper returns the mean gradient value for the vertical column at the
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// given x, (in the external coordinates) by subtracting the mean of the
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// transformed column 2 pixels left from the mean of the transformed column
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// 2 pixels to the right.
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// This gives a positive value for a good left edge and negative for right.
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// Returns the best result out of +2/-2, +3/-1, +1/-3 pixels from the edge.
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int BestMeanGradientInColumn(const DENORM* denorm, inT16 x, inT16 min_y,
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inT16 max_y, bool best_is_max) const;
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// Helper returns the mean pixel value over the line between the start_pt and
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// end_pt (inclusive), but shifted perpendicular to the line in the projection
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// image by offset pixels. For simplicity, it is assumed that the vector is
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// either nearly horizontal or nearly vertical. It works on skewed textlines!
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// The end points are in external coordinates, and will be denormalized with
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// the denorm if not NULL before further conversion to pix coordinates.
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// After all the conversions, the offset is added to the direction
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// perpendicular to the line direction. The offset is thus in projection image
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// coordinates, which allows the caller to get a guaranteed displacement
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// between pixels used to calculate gradients.
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int MeanPixelsInLineSegment(const DENORM* denorm, int offset,
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TPOINT start_pt, TPOINT end_pt) const;
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// Helper function to add 1 to a rectangle in source image coords to the
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// internal projection pix_.
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void IncrementRectangle8Bit(const TBOX& box);
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// Inserts a list of blobs into the projection.
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// Rotation is a multiple of 90 degrees to get from blob coords to
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// nontext_map coords, image_box is the bounds of the nontext_map.
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// Blobs are spread horizontally or vertically according to their internal
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// flags, but the spreading is truncated by set pixels in the nontext_map
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// and also by the horizontal rule line limits on the blobs.
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void ProjectBlobs(BLOBNBOX_LIST* blobs, const FCOORD& rotation,
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const TBOX& image_box, Pix* nontext_map);
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// Pads the bounding box of the given blob according to whether it is on
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// a horizontal or vertical text line, taking into account tab-stops near
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// the blob. Returns true if padding was in the horizontal direction.
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bool PadBlobBox(BLOBNBOX* blob, TBOX* bbox);
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// Helper denormalizes the TPOINT with the denorm if not NULL, then
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// converts to pix_ coordinates.
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void TransformToPixCoords(const DENORM* denorm, TPOINT* pt) const;
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// Helper truncates the TPOINT to be within the pix_.
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void TruncateToImageBounds(TPOINT* pt) const;
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// Transform tesseract coordinates to coordinates used in the pix.
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int ImageXToProjectionX(int x) const;
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int ImageYToProjectionY(int y) const;
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// The down-sampling scale factor used in building the image.
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int scale_factor_;
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// The blob coordinates of the top-left (origin of the pix_) in tesseract
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// coordinates. Used to transform the bottom-up tesseract coordinates to
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// the top-down coordinates of the pix.
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int x_origin_;
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int y_origin_;
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// The image of horizontally smeared blob boxes summed to provide a
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// textline density map. As with a horizontal projection, the map has
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// dips in the gaps between textlines.
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Pix* pix_;
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};
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} // namespace tesseract.
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#endif // TESSERACT_TEXTORD_TEXTLINEPROJECTION_H_
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