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📄 lmedsq.h

📁 一OCR的相关资料。.希望对研究OCR的朋友有所帮助.
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/********************************************************************** * File:        lmedsq.h  (Formerly lms.h) * Description: Code for the LMS class. * Author:		Ray Smith * Created:		Fri Aug  7 09:30:53 BST 1992 * * (C) Copyright 1992, Hewlett-Packard Ltd. ** 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. * **********************************************************************/#ifndef           LMEDSQ_H#define           LMEDSQ_H#include          "points.h"#include          "varable.h"#include          "grphics.h"#include          "notdll.h"class LMS{  public:    LMS(              //constructor        INT32 size);  //no of samples    ~LMS ();                     //destructor    void clear();  //clear samples    void add(                 //add sample             FCOORD sample);  //sample coords    void fit(           //generate fit             float &m,  //output line             float &c);    void constrained_fit(                //fixed gradient                         float fixed_m,  //forced gradient                         float &out_c);  //output line    void fit_quadratic(                          //easy quadratic                       float outlier_threshold,  //min outlier                       double &a,                //x squared                       float &b,                 //x                       float &c);                //constant    void plot(                 //plot fit              WINDOW win,      //window              COLOUR colour);  //colour to draw in    float error() {  //get error      return fitted ? line_error : -1;    }  private:    void pick_line(           //random choice                   float &m,  //output line                   float &c);    void pick_quadratic(            //random choice                        double &a,  //output curve                        float &b,                        float &c);    void compute_errors(          //find errors                        float m,  //from line                        float c);                                 //find errors    float compute_quadratic_errors(float outlier_threshold,  //min outlier                                   double a,                 //from curve                                   float m,                                   float c);    BOOL8 fitted;                //line parts valid    INT32 samplesize;            //max samples    INT32 samplecount;           //current sample size    FCOORD *samples;             //array of samples    float *errors;               //error distances    double a;                    //x squared    float m;                     //line gradient    float c;    float line_error;            //error of fit};extern INT_VAR_H (lms_line_trials, 12, "Number of linew fits to do");#endif

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