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https://github.com/tesseract-ocr/tesseract.git
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7870d67c21
git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@157 d0cd1f9f-072b-0410-8dd7-cf729c803f20
392 lines
11 KiB
C++
392 lines
11 KiB
C++
/**********************************************************************
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* File: matmatch.cpp (Formerly matrix_match.c)
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* Description: matrix matching routines for Tessedit
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* Author: Chris Newton
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* Created: Wed Nov 24 15:57:41 GMT 1993
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*
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* (C) Copyright 1993, Hewlett-Packard Ltd.
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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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*
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**********************************************************************/
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#include "mfcpch.h"
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#include <stdlib.h>
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#include <math.h>
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#include <string.h>
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#include <ctype.h>
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#ifdef __UNIX__
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#include <assert.h>
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#endif
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#include "tessvars.h"
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#include "stderr.h"
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#include "img.h"
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//#include "evnts.h"
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//#include "showim.h"
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#include "hosthplb.h"
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#include "scrollview.h"
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//#include "evnts.h"
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#include "adaptions.h"
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#include "matmatch.h"
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#include "secname.h"
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#include "svshowim.h"
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#define EXTERN
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EXTERN BOOL_VAR (tessedit_display_mm, FALSE, "Display matrix matches");
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EXTERN BOOL_VAR (tessedit_mm_debug, FALSE,
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"Print debug information for matrix matcher");
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EXTERN INT_VAR (tessedit_mm_prototype_min_size, 3,
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"Smallest number of samples in a cluster for a prototype to be used");
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// Colours for displaying the match
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#define BB_COLOUR 0
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#define BW_COLOUR 1
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#define WB_COLOUR 3
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#define UB_COLOUR 5
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#define BU_COLOUR 7
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#define UU_COLOUR 9
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#define WU_COLOUR 11
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#define UW_COLOUR 13
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#define WW_COLOUR 15
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#define BINIM_BLACK 0
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#define BINIM_WHITE 1
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float matrix_match( // returns match score
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IMAGE *image1,
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IMAGE *image2) {
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ASSERT_HOST (image1->get_bpp () == 1 && image2->get_bpp () == 1);
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if (image1->get_xsize () >= image2->get_xsize ())
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return match1 (image1, image2);
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else
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return match1 (image2, image1);
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}
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float match1( /* returns match score */
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IMAGE *image_w,
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IMAGE *image_n) {
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inT32 x_offset;
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inT32 y_offset;
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inT32 x_size = image_w->get_xsize ();
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inT32 y_size;
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inT32 x_size2 = image_n->get_xsize ();
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inT32 y_size2;
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IMAGE match_image;
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IMAGELINE imline_w;
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IMAGELINE imline_n;
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IMAGELINE match_imline;
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inT32 x;
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inT32 y;
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float sum = 0.0;
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x_offset = (image_w->get_xsize () - image_n->get_xsize ()) / 2;
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ASSERT_HOST (x_offset >= 0);
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match_imline.init (x_size);
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sum = 0;
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if (image_w->get_ysize () < image_n->get_ysize ()) {
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y_size = image_n->get_ysize ();
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y_size2 = image_w->get_ysize ();
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y_offset = (y_size - y_size2) / 2;
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if (tessedit_display_mm && !tessedit_mm_use_prototypes)
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tprintf ("I1 (%d, %d), I2 (%d, %d), MI (%d, %d)\n", x_size,
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image_w->get_ysize (), x_size2, image_n->get_ysize (),
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x_size, y_size);
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match_image.create (x_size, y_size, 4);
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for (y = 0; y < y_offset; y++) {
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image_n->fast_get_line (0, y, x_size2, &imline_n);
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for (x = 0; x < x_size2; x++) {
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if (imline_n.pixels[x] == BINIM_BLACK) {
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sum += -1;
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match_imline.pixels[x] = UB_COLOUR;
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}
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else {
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match_imline.pixels[x] = UW_COLOUR;
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}
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}
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match_image.fast_put_line (x_offset, y, x_size2, &match_imline);
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}
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for (y = y_offset + y_size2; y < y_size; y++) {
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image_n->fast_get_line (0, y, x_size2, &imline_n);
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for (x = 0; x < x_size2; x++) {
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if (imline_n.pixels[x] == BINIM_BLACK) {
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sum += -1.0;
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match_imline.pixels[x] = UB_COLOUR;
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}
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else {
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match_imline.pixels[x] = UW_COLOUR;
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}
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}
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match_image.fast_put_line (x_offset, y, x_size2, &match_imline);
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}
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for (y = y_offset; y < y_offset + y_size2; y++) {
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image_w->fast_get_line (0, y - y_offset, x_size, &imline_w);
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image_n->fast_get_line (0, y, x_size2, &imline_n);
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for (x = 0; x < x_offset; x++) {
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if (imline_w.pixels[x] == BINIM_BLACK) {
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sum += -1.0;
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match_imline.pixels[x] = BU_COLOUR;
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}
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else {
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match_imline.pixels[x] = WU_COLOUR;
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}
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}
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for (x = x_offset + x_size2; x < x_size; x++) {
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if (imline_w.pixels[x] == BINIM_BLACK) {
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sum += -1.0;
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match_imline.pixels[x] = BU_COLOUR;
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}
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else {
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match_imline.pixels[x] = WU_COLOUR;
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}
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}
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for (x = x_offset; x < x_offset + x_size2; x++) {
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if (imline_n.pixels[x - x_offset] == imline_w.pixels[x]) {
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sum += 1.0;
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if (imline_w.pixels[x] == BINIM_BLACK)
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match_imline.pixels[x] = BB_COLOUR;
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else
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match_imline.pixels[x] = WW_COLOUR;
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}
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else {
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sum += -1.0;
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if (imline_w.pixels[x] == BINIM_BLACK)
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match_imline.pixels[x] = BW_COLOUR;
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else
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match_imline.pixels[x] = WB_COLOUR;
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}
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}
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match_image.fast_put_line (0, y, x_size, &match_imline);
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}
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}
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else {
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y_size = image_w->get_ysize ();
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y_size2 = image_n->get_ysize ();
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y_offset = (y_size - y_size2) / 2;
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if (tessedit_display_mm && !tessedit_mm_use_prototypes)
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tprintf ("I1 (%d, %d), I2 (%d, %d), MI (%d, %d)\n", x_size,
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image_w->get_ysize (), x_size2, image_n->get_ysize (),
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x_size, y_size);
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match_image.create (x_size, y_size, 4);
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for (y = 0; y < y_offset; y++) {
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image_w->fast_get_line (0, y, x_size, &imline_w);
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for (x = 0; x < x_size; x++) {
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if (imline_w.pixels[x] == BINIM_BLACK) {
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sum += -1;
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match_imline.pixels[x] = BU_COLOUR;
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}
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else {
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match_imline.pixels[x] = WU_COLOUR;
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}
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}
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match_image.fast_put_line (0, y, x_size, &match_imline);
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}
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for (y = y_offset + y_size2; y < y_size; y++) {
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image_w->fast_get_line (0, y, x_size, &imline_w);
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for (x = 0; x < x_size; x++) {
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if (imline_w.pixels[x] == BINIM_BLACK) {
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sum += -1;
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match_imline.pixels[x] = BU_COLOUR;
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}
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else {
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match_imline.pixels[x] = WU_COLOUR;
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}
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}
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match_image.fast_put_line (0, y, x_size, &match_imline);
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}
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for (y = y_offset; y < y_offset + y_size2; y++) {
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image_w->fast_get_line (0, y, x_size, &imline_w);
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image_n->fast_get_line (0, y - y_offset, x_size2, &imline_n);
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for (x = 0; x < x_offset; x++) {
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if (imline_w.pixels[x] == BINIM_BLACK) {
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sum += -1.0;
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match_imline.pixels[x] = BU_COLOUR;
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}
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else {
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match_imline.pixels[x] = WU_COLOUR;
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}
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}
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for (x = x_offset + x_size2; x < x_size; x++) {
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if (imline_w.pixels[x] == BINIM_BLACK) {
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sum += -1.0;
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match_imline.pixels[x] = BU_COLOUR;
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}
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else {
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match_imline.pixels[x] = WU_COLOUR;
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}
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}
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for (x = x_offset; x < x_offset + x_size2; x++) {
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if (imline_n.pixels[x - x_offset] == imline_w.pixels[x]) {
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sum += 1.0;
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if (imline_w.pixels[x] == BINIM_BLACK)
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match_imline.pixels[x] = BB_COLOUR;
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else
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match_imline.pixels[x] = WW_COLOUR;
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}
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else {
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sum += -1.0;
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if (imline_w.pixels[x] == BINIM_BLACK)
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match_imline.pixels[x] = BW_COLOUR;
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else
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match_imline.pixels[x] = WB_COLOUR;
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}
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}
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match_image.fast_put_line (0, y, x_size, &match_imline);
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}
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}
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#ifndef GRAPHICS_DISABLED
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if (tessedit_display_mm && !tessedit_mm_use_prototypes) {
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tprintf ("Match score %f\n", 1.0 - sum / (x_size * y_size));
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display_images(image_w, image_n, &match_image);
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}
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#endif
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if (tessedit_mm_debug)
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tprintf ("Match score %f\n", 1.0 - sum / (x_size * y_size));
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return (1.0 - sum / (x_size * y_size));
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}
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/*************************************************************************
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* display_images()
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*
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* Show a pair of images, plus the match image
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*
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*************************************************************************/
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#ifndef GRAPHICS_DISABLED
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void display_images(IMAGE *image_w, IMAGE *image_n, IMAGE *match_image) {
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ScrollView* w_im_window;
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ScrollView* n_im_window;
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ScrollView* match_window;
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inT16 i;
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w_im_window = new ScrollView("Image 1", 20, 100,
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10 * image_w->get_xsize (), 10 * image_w->get_ysize (),
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image_w->get_xsize (), image_w->get_ysize ());
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sv_show_sub_image (image_w,
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0, 0,
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image_w->get_xsize (), image_w->get_ysize (),
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w_im_window, 0, 0);
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w_im_window->Pen(255,0,0);
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for (i = 1; i < image_w->get_xsize (); i++) {
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w_im_window->Line(i, 0, i, image_w->get_ysize ());
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}
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for (i = 1; i < image_w->get_ysize (); i++) {
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w_im_window->Line(0, i, image_w->get_xsize (), i);
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}
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n_im_window = new ScrollView ("Image 2", 240, 100,
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10 * image_n->get_xsize (), 10 * image_n->get_ysize (),
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image_n->get_xsize (), image_n->get_ysize ());
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sv_show_sub_image (image_n,
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0, 0,
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image_n->get_xsize (), image_n->get_ysize (),
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n_im_window, 0, 0);
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n_im_window->Pen(255,0,0);
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for (i = 1; i < image_n->get_xsize (); i++) {
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n_im_window->Line(i, 0, i, image_n->get_ysize ());
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}
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for (i = 1; i < image_n->get_ysize (); i++) {
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n_im_window->Line(0, i, image_n->get_xsize (), i);
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}
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match_window = new ScrollView ("Match Result", 460, 100,
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10 * match_image->get_xsize (), 10 * match_image->get_ysize (),
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match_image->get_xsize (), match_image->get_ysize ());
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match_window->Clear();
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sv_show_sub_image (match_image,
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0, 0,
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match_image->get_xsize (), match_image->get_ysize (),
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match_window, 0, 0);
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match_window->Pen(255,0,0);
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for (i = 1; i < match_image->get_xsize (); i++) {
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match_window->Line(i, 0, i, match_image->get_ysize ());
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}
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for (i = 1; i < match_image->get_ysize (); i++) {
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match_window->Line(0, i, match_image->get_xsize (), i);
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}
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SVEvent* sve = match_window->AwaitEvent(SVET_DESTROY);
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delete sve;
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delete w_im_window;
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delete n_im_window;
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delete match_window;
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}
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/*************************************************************************
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* display_image()
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*
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* Show a single image
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*
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*************************************************************************/
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ScrollView* display_image(IMAGE *image,
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const char *title,
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inT32 x,
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inT32 y,
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BOOL8 wait) {
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ScrollView* im_window;
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inT16 i;
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im_window = new ScrollView (title, x, y,
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10 * image->get_xsize (), 10 * image->get_ysize (),
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image->get_xsize (), image->get_ysize ());
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sv_show_sub_image (image,
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0, 0,
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image->get_xsize (), image->get_ysize (), im_window, 0, 0);
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im_window->Pen(255,0,0);
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for (i = 1; i < image->get_xsize (); i++) {
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im_window->SetCursor(i, 0);
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im_window->DrawTo(i, image->get_ysize());
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}
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for (i = 1; i < image->get_ysize (); i++) {
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im_window->SetCursor(0, i);
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im_window->DrawTo(image->get_xsize(),i);
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}
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if (wait) { delete im_window->AwaitEvent(SVET_CLICK); }
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return im_window;
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}
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#endif
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