Mercurial > hgrepos > Python2 > PyMuPDF
annotate mupdf-source/thirdparty/tesseract/src/ccstruct/detlinefit.h @ 17:dd9cdb856310
Remove PKG-INFO from the because it is regenerated automatically for the sdist
| author | Franz Glasner <fzglas.hg@dom66.de> |
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| date | Thu, 18 Sep 2025 17:40:40 +0200 |
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| rev | line source |
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1 /////////////////////////////////////////////////////////////////////// |
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2 // File: detlinefit.h |
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3 // Description: Deterministic least upper-quartile squares line fitting. |
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4 // Author: Ray Smith |
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5 // |
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6 // (C) Copyright 2008, Google Inc. |
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7 // Licensed under the Apache License, Version 2.0 (the "License"); |
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8 // you may not use this file except in compliance with the License. |
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9 // You may obtain a copy of the License at |
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10 // http://www.apache.org/licenses/LICENSE-2.0 |
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11 // Unless required by applicable law or agreed to in writing, software |
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12 // distributed under the License is distributed on an "AS IS" BASIS, |
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13 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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14 // See the License for the specific language governing permissions and |
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15 // limitations under the License. |
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16 // |
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17 /////////////////////////////////////////////////////////////////////// |
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18 |
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19 #ifndef TESSERACT_CCSTRUCT_DETLINEFIT_H_ |
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20 #define TESSERACT_CCSTRUCT_DETLINEFIT_H_ |
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21 |
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22 #include "kdpair.h" |
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23 #include "points.h" |
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24 |
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25 namespace tesseract { |
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26 |
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27 // This class fits a line to a set of ICOORD points. |
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28 // There is no restriction on the direction of the line, as it |
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29 // uses a vector method, ie no concern over infinite gradients. |
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30 // The fitted line has the least upper quartile of squares of perpendicular |
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31 // distances of all source points from the line, subject to the constraint |
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32 // that the line is made from one of the pairs of [{p1,p2,p3},{pn-2, pn-1, pn}] |
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33 // i.e. the 9 combinations of one of the first 3 and last 3 points. |
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34 // A fundamental assumption of this algorithm is that one of the first 3 and |
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35 // one of the last 3 points are near the best line fit. |
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36 // The points must be Added in line order for the algorithm to work properly. |
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37 // No floating point calculations are needed* to make an accurate fit, |
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38 // and no random numbers are needed** so the algorithm is deterministic, |
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39 // architecture-stable, and compiler-stable as well as stable to minor |
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40 // changes in the input. |
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41 // *A single floating point division is used to compute each line's distance. |
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42 // This is unlikely to result in choice of a different line, but if it does, |
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43 // it would be easy to replace with a 64 bit integer calculation. |
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44 // **Random numbers are used in the nth_item function, but the worst |
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45 // non-determinism that can result is picking a different result among equals, |
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46 // and that wouldn't make any difference to the end-result distance, so the |
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47 // randomness does not affect the determinism of the algorithm. The random |
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48 // numbers are only there to guarantee average linear time. |
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49 // Fitting time is linear, but with a high constant, as it tries 9 different |
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50 // lines and computes the distance of all points each time. |
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51 // This class is aimed at replacing the LLSQ (linear least squares) and |
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52 // LMS (least median of squares) classes that are currently used for most |
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53 // of the line fitting in Tesseract. |
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54 class DetLineFit { |
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55 public: |
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56 DetLineFit(); |
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57 ~DetLineFit() = default; |
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58 |
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59 // Delete all Added points. |
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60 void Clear(); |
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61 |
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62 // Adds a new point. Takes a copy - the pt doesn't need to stay in scope. |
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63 // Add must be called on points in sequence along the line. |
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64 void Add(const ICOORD &pt); |
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65 // Associates a half-width with the given point if a point overlaps the |
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66 // previous point by more than half the width, and its distance is further |
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67 // than the previous point, then the more distant point is ignored in the |
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68 // distance calculation. Useful for ignoring i dots and other diacritics. |
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69 void Add(const ICOORD &pt, int halfwidth); |
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70 |
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71 // Fits a line to the points, returning the fitted line as a pair of |
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72 // points, and the upper quartile error. |
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73 double Fit(ICOORD *pt1, ICOORD *pt2) { |
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74 return Fit(0, 0, pt1, pt2); |
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75 } |
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76 // Fits a line to the points, ignoring the skip_first initial points and the |
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77 // skip_last final points, returning the fitted line as a pair of points, |
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78 // and the upper quartile error. |
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79 double Fit(int skip_first, int skip_last, ICOORD *pt1, ICOORD *pt2); |
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80 |
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81 // Constrained fit with a supplied direction vector. Finds the best line_pt, |
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82 // that is one of the supplied points having the median cross product with |
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83 // direction, ignoring points that have a cross product outside of the range |
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84 // [min_dist, max_dist]. Returns the resulting error metric using the same |
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85 // reduced set of points. |
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86 // *Makes use of floating point arithmetic* |
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87 double ConstrainedFit(const FCOORD &direction, double min_dist, double max_dist, bool debug, |
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88 ICOORD *line_pt); |
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89 |
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90 // Returns true if there were enough points at the last call to Fit or |
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91 // ConstrainedFit for the fitted points to be used on a badly fitted line. |
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92 bool SufficientPointsForIndependentFit() const; |
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93 |
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94 // Backwards compatible fit returning a gradient and constant. |
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95 // Deprecated. Prefer Fit(ICOORD*, ICOORD*) where possible, but use this |
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96 // function in preference to the LMS class. |
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97 double Fit(float *m, float *c); |
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98 |
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99 // Backwards compatible constrained fit with a supplied gradient. |
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100 // Deprecated. Use ConstrainedFit(const FCOORD& direction) where possible |
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101 // to avoid potential difficulties with infinite gradients. |
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102 double ConstrainedFit(double m, float *c); |
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103 |
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104 private: |
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105 // Simple struct to hold an ICOORD point and a halfwidth representing half |
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106 // the "width" (supposedly approximately parallel to the direction of the |
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107 // line) of each point, such that distant points can be discarded when they |
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108 // overlap nearer points. (Think i dot and other diacritics or noise.) |
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109 struct PointWidth { |
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110 PointWidth() : pt(ICOORD(0, 0)), halfwidth(0) {} |
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111 PointWidth(const ICOORD &pt0, int halfwidth0) : pt(pt0), halfwidth(halfwidth0) {} |
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112 |
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113 ICOORD pt; |
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114 int halfwidth; |
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115 }; |
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116 // Type holds the distance of each point from the fitted line and the point |
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117 // itself. Use of double allows integer distances from ICOORDs to be stored |
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118 // exactly, and also the floating point results from ConstrainedFit. |
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119 using DistPointPair = KDPairInc<double, ICOORD>; |
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120 |
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121 // Computes and returns the squared evaluation metric for a line fit. |
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122 double EvaluateLineFit(); |
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123 |
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124 // Computes the absolute values of the precomputed distances_, |
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125 // and returns the squared upper-quartile error distance. |
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126 double ComputeUpperQuartileError(); |
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127 |
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128 // Returns the number of sample points that have an error more than threshold. |
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129 int NumberOfMisfittedPoints(double threshold) const; |
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130 |
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131 // Computes all the cross product distances of the points from the line, |
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132 // storing the actual (signed) cross products in distances_. |
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133 // Ignores distances of points that are further away than the previous point, |
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134 // and overlaps the previous point by at least half. |
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135 void ComputeDistances(const ICOORD &start, const ICOORD &end); |
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136 |
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137 // Computes all the cross product distances of the points perpendicular to |
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138 // the given direction, ignoring distances outside of the give distance range, |
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139 // storing the actual (signed) cross products in distances_. |
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140 void ComputeConstrainedDistances(const FCOORD &direction, double min_dist, double max_dist); |
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141 |
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142 // Stores all the source points in the order they were given and their |
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143 // halfwidths, if any. |
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144 std::vector<PointWidth> pts_; |
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145 // Stores the computed perpendicular distances of (some of) the pts_ from a |
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146 // given vector (assuming it goes through the origin, making it a line). |
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147 // Since the distances may be a subset of the input points, and get |
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148 // re-ordered by the nth_item function, the original point is stored |
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149 // along side the distance. |
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150 std::vector<DistPointPair> distances_; // Distances of points. |
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151 // The squared length of the vector used to compute distances_. |
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152 double square_length_; |
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153 }; |
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154 |
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155 } // namespace tesseract. |
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156 |
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157 #endif // TESSERACT_CCSTRUCT_DETLINEFIT_H_ |
