matmatch.cpp
来自「一个google的OCR源码」· C++ 代码 · 共 392 行
CPP
392 行
/********************************************************************** * 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
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