matmatch.cpp

来自「一个google的OCR源码」· C++ 代码 · 共 392 行

CPP
392
字号
/********************************************************************** * File:        matmatch.cpp  (Formerly matrix_match.c) * Description: matrix matching routines for Tessedit * Author:      Chris Newton * Created:     Wed Nov 24 15:57:41 GMT 1993 * * (C) Copyright 1993, 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. * **********************************************************************/#include "mfcpch.h"#include          <stdlib.h>#include          <math.h>#include          <string.h>#include          <ctype.h>#ifdef __UNIX__#include          <assert.h>#endif#include          "tessvars.h"#include          "stderr.h"#include          "img.h"//#include          "evnts.h"//#include          "showim.h"#include          "hosthplb.h"#include          "scrollview.h"//#include          "evnts.h"#include          "adaptions.h"#include          "matmatch.h"#include          "secname.h"#include "svshowim.h"#define EXTERNEXTERN BOOL_VAR (tessedit_display_mm, FALSE, "Display matrix matches");EXTERN BOOL_VAR (tessedit_mm_debug, FALSE,"Print debug information for matrix matcher");EXTERN INT_VAR (tessedit_mm_prototype_min_size, 3,"Smallest number of samples in a cluster for a prototype to be used");// Colours for displaying the match#define BB_COLOUR 0#define BW_COLOUR 1#define WB_COLOUR 3#define UB_COLOUR 5#define BU_COLOUR 7#define UU_COLOUR 9#define WU_COLOUR 11#define UW_COLOUR 13#define WW_COLOUR 15#define BINIM_BLACK 0#define BINIM_WHITE 1float matrix_match(  // returns match score                   IMAGE *image1,                   IMAGE *image2) {  ASSERT_HOST (image1->get_bpp () == 1 && image2->get_bpp () == 1);  if (image1->get_xsize () >= image2->get_xsize ())    return match1 (image1, image2);  else    return match1 (image2, image1);}float match1(  /* returns match score */             IMAGE *image_w,             IMAGE *image_n) {  inT32 x_offset;  inT32 y_offset;  inT32 x_size = image_w->get_xsize ();  inT32 y_size;  inT32 x_size2 = image_n->get_xsize ();  inT32 y_size2;  IMAGE match_image;  IMAGELINE imline_w;  IMAGELINE imline_n;  IMAGELINE match_imline;  inT32 x;  inT32 y;  float sum = 0.0;  x_offset = (image_w->get_xsize () - image_n->get_xsize ()) / 2;  ASSERT_HOST (x_offset >= 0);  match_imline.init (x_size);  sum = 0;  if (image_w->get_ysize () < image_n->get_ysize ()) {    y_size = image_n->get_ysize ();    y_size2 = image_w->get_ysize ();    y_offset = (y_size - y_size2) / 2;    if (tessedit_display_mm && !tessedit_mm_use_prototypes)      tprintf ("I1 (%d, %d), I2 (%d, %d), MI (%d, %d)\n", x_size,        image_w->get_ysize (), x_size2, image_n->get_ysize (),        x_size, y_size);    match_image.create (x_size, y_size, 4);    for (y = 0; y < y_offset; y++) {      image_n->fast_get_line (0, y, x_size2, &imline_n);      for (x = 0; x < x_size2; x++) {        if (imline_n.pixels[x] == BINIM_BLACK) {          sum += -1;          match_imline.pixels[x] = UB_COLOUR;        }        else {          match_imline.pixels[x] = UW_COLOUR;        }      }      match_image.fast_put_line (x_offset, y, x_size2, &match_imline);    }    for (y = y_offset + y_size2; y < y_size; y++) {      image_n->fast_get_line (0, y, x_size2, &imline_n);      for (x = 0; x < x_size2; x++) {        if (imline_n.pixels[x] == BINIM_BLACK) {          sum += -1.0;          match_imline.pixels[x] = UB_COLOUR;        }        else {          match_imline.pixels[x] = UW_COLOUR;        }      }      match_image.fast_put_line (x_offset, y, x_size2, &match_imline);    }    for (y = y_offset; y < y_offset + y_size2; y++) {      image_w->fast_get_line (0, y - y_offset, x_size, &imline_w);      image_n->fast_get_line (0, y, x_size2, &imline_n);      for (x = 0; x < x_offset; x++) {        if (imline_w.pixels[x] == BINIM_BLACK) {          sum += -1.0;          match_imline.pixels[x] = BU_COLOUR;        }        else {          match_imline.pixels[x] = WU_COLOUR;        }      }      for (x = x_offset + x_size2; x < x_size; x++) {        if (imline_w.pixels[x] == BINIM_BLACK) {          sum += -1.0;          match_imline.pixels[x] = BU_COLOUR;        }        else {          match_imline.pixels[x] = WU_COLOUR;        }      }      for (x = x_offset; x < x_offset + x_size2; x++) {        if (imline_n.pixels[x - x_offset] == imline_w.pixels[x]) {          sum += 1.0;          if (imline_w.pixels[x] == BINIM_BLACK)            match_imline.pixels[x] = BB_COLOUR;          else            match_imline.pixels[x] = WW_COLOUR;        }        else {          sum += -1.0;          if (imline_w.pixels[x] == BINIM_BLACK)            match_imline.pixels[x] = BW_COLOUR;          else            match_imline.pixels[x] = WB_COLOUR;        }      }      match_image.fast_put_line (0, y, x_size, &match_imline);    }  }  else {    y_size = image_w->get_ysize ();    y_size2 = image_n->get_ysize ();    y_offset = (y_size - y_size2) / 2;    if (tessedit_display_mm && !tessedit_mm_use_prototypes)      tprintf ("I1 (%d, %d), I2 (%d, %d), MI (%d, %d)\n", x_size,        image_w->get_ysize (), x_size2, image_n->get_ysize (),        x_size, y_size);    match_image.create (x_size, y_size, 4);    for (y = 0; y < y_offset; y++) {      image_w->fast_get_line (0, y, x_size, &imline_w);      for (x = 0; x < x_size; x++) {        if (imline_w.pixels[x] == BINIM_BLACK) {          sum += -1;          match_imline.pixels[x] = BU_COLOUR;        }        else {          match_imline.pixels[x] = WU_COLOUR;        }      }      match_image.fast_put_line (0, y, x_size, &match_imline);    }    for (y = y_offset + y_size2; y < y_size; y++) {      image_w->fast_get_line (0, y, x_size, &imline_w);      for (x = 0; x < x_size; x++) {        if (imline_w.pixels[x] == BINIM_BLACK) {          sum += -1;          match_imline.pixels[x] = BU_COLOUR;        }        else {          match_imline.pixels[x] = WU_COLOUR;        }      }      match_image.fast_put_line (0, y, x_size, &match_imline);    }    for (y = y_offset; y < y_offset + y_size2; y++) {      image_w->fast_get_line (0, y, x_size, &imline_w);      image_n->fast_get_line (0, y - y_offset, x_size2, &imline_n);      for (x = 0; x < x_offset; x++) {        if (imline_w.pixels[x] == BINIM_BLACK) {          sum += -1.0;          match_imline.pixels[x] = BU_COLOUR;        }        else {          match_imline.pixels[x] = WU_COLOUR;        }      }      for (x = x_offset + x_size2; x < x_size; x++) {        if (imline_w.pixels[x] == BINIM_BLACK) {          sum += -1.0;          match_imline.pixels[x] = BU_COLOUR;        }        else {          match_imline.pixels[x] = WU_COLOUR;        }      }      for (x = x_offset; x < x_offset + x_size2; x++) {        if (imline_n.pixels[x - x_offset] == imline_w.pixels[x]) {          sum += 1.0;          if (imline_w.pixels[x] == BINIM_BLACK)            match_imline.pixels[x] = BB_COLOUR;          else            match_imline.pixels[x] = WW_COLOUR;        }        else {          sum += -1.0;          if (imline_w.pixels[x] == BINIM_BLACK)            match_imline.pixels[x] = BW_COLOUR;          else            match_imline.pixels[x] = WB_COLOUR;        }      }      match_image.fast_put_line (0, y, x_size, &match_imline);    }  }#ifndef GRAPHICS_DISABLED  if (tessedit_display_mm && !tessedit_mm_use_prototypes) {    tprintf ("Match score %f\n", 1.0 - sum / (x_size * y_size));    display_images(image_w, image_n, &match_image);  }#endif  if (tessedit_mm_debug)    tprintf ("Match score %f\n", 1.0 - sum / (x_size * y_size));  return (1.0 - sum / (x_size * y_size));}/************************************************************************* * display_images() * * Show a pair of images, plus the match image * *************************************************************************/#ifndef GRAPHICS_DISABLEDvoid display_images(IMAGE *image_w, IMAGE *image_n, IMAGE *match_image) {  ScrollView* w_im_window;  ScrollView* n_im_window;  ScrollView* match_window;  inT16 i;  w_im_window = new ScrollView("Image 1", 20, 100,      10 * image_w->get_xsize (), 10 * image_w->get_ysize (),      image_w->get_xsize (), image_w->get_ysize ());  sv_show_sub_image (image_w,    0, 0,    image_w->get_xsize (), image_w->get_ysize (),    w_im_window, 0, 0);  w_im_window->Pen(255,0,0);  for (i = 1; i < image_w->get_xsize (); i++) {     w_im_window->Line(i, 0, i, image_w->get_ysize ());  }  for (i = 1; i < image_w->get_ysize (); i++) {    w_im_window->Line(0, i, image_w->get_xsize (), i);  }  n_im_window = new ScrollView ("Image 2", 240, 100,      10 * image_n->get_xsize (), 10 * image_n->get_ysize (),      image_n->get_xsize (), image_n->get_ysize ());  sv_show_sub_image (image_n,    0, 0,    image_n->get_xsize (), image_n->get_ysize (),    n_im_window, 0, 0);  n_im_window->Pen(255,0,0);  for (i = 1; i < image_n->get_xsize (); i++) {     n_im_window->Line(i, 0, i, image_n->get_ysize ());  }  for (i = 1; i < image_n->get_ysize (); i++) {    n_im_window->Line(0, i, image_n->get_xsize (), i);  }  match_window = new ScrollView ("Match Result", 460, 100,       10 * match_image->get_xsize (), 10 * match_image->get_ysize (),       match_image->get_xsize (), match_image->get_ysize ());  match_window->Clear();  sv_show_sub_image (match_image,    0, 0,    match_image->get_xsize (), match_image->get_ysize (),    match_window, 0, 0);  match_window->Pen(255,0,0);  for (i = 1; i < match_image->get_xsize (); i++) {     match_window->Line(i, 0, i, match_image->get_ysize ());  }  for (i = 1; i < match_image->get_ysize (); i++) {     match_window->Line(0, i, match_image->get_xsize (), i);  }  SVEvent* sve = match_window->AwaitEvent(SVET_DESTROY);  delete sve;  delete w_im_window;  delete n_im_window;  delete match_window;}/************************************************************************* * display_image() * * Show a single image * *************************************************************************/ScrollView* display_image(IMAGE *image,                     const char *title,                     inT32 x,                     inT32 y,                     BOOL8 wait) {  ScrollView* im_window;  inT16 i;  im_window = new ScrollView (title, x, y,      10 * image->get_xsize (), 10 * image->get_ysize (),      image->get_xsize (),  image->get_ysize ());  sv_show_sub_image (image,    0, 0,    image->get_xsize (), image->get_ysize (), im_window, 0, 0);  im_window->Pen(255,0,0);  for (i = 1; i < image->get_xsize (); i++) {    im_window->SetCursor(i, 0);    im_window->DrawTo(i, image->get_ysize());  }  for (i = 1; i < image->get_ysize (); i++) {    im_window->SetCursor(0, i);    im_window->DrawTo(image->get_xsize(),i);  }  if (wait) { delete im_window->AwaitEvent(SVET_CLICK); }  return im_window;}#endif

⌨️ 快捷键说明

复制代码Ctrl + C
搜索代码Ctrl + F
全屏模式F11
增大字号Ctrl + =
减小字号Ctrl + -
显示快捷键?