gusucode.com > matlab程序语言实现的水准网平差程序，使用于测绘人员 > 一种基于极大值稳定区域的文本定位方法matlab源码程序/毕业设计/代码/textlocalization.m

    function varargout = textlocalization(varargin)
% TEXTLOCALIZATION MATLAB code for textlocalization.fig
%      TEXTLOCALIZATION, by itself, creates a new TEXTLOCALIZATION or raises the existing
%      singleton*.
%
%      H = TEXTLOCALIZATION returns the handle to a new TEXTLOCALIZATION or the handle to
%      the existing singleton*.
%
%      TEXTLOCALIZATION('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in TEXTLOCALIZATION.M with the given input arguments.
%
%      TEXTLOCALIZATION('Property','Value',...) creates a new TEXTLOCALIZATION or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before textlocalization_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to textlocalization_OpeningFcn via varargin.
%
%      *See GUI Options on GUIDE's Tools menu.  Choose "GUI allows only one
%      instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES

% Edit the above text to modify the response to help textlocalization

% Last Modified by GUIDE v2.5 11-Jun-2018 17:54:16

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @textlocalization_OpeningFcn, ...
                   'gui_OutputFcn',  @textlocalization_OutputFcn, ...
                   'gui_LayoutFcn',  [] , ...
                   'gui_Callback',   []);
if nargin && ischar(varargin{1})
    gui_State.gui_Callback = str2func(varargin{1});
end

if nargout
    [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
    gui_mainfcn(gui_State, varargin{:});
end

% End initialization code - DO NOT EDIT


% --- Executes just before textlocalization is made visible.
function textlocalization_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% varargin   command line arguments to textlocalization (see VARARGIN)

% Choose default command line output for textlocalization
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes textlocalization wait for user response (see UIRESUME)
% uiwait(handles.figure1);


% --- Outputs from this function are returned to the command line.
function varargout = textlocalization_OutputFcn(hObject, eventdata, handles) 
% varargout  cell array for returning output args (see VARARGOUT);
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Get default command line output from handles structure
varargout{1} = handles.output;


% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

[filename,pathname]=uigetfile('*.*','choose a picture');
path = [pathname filename];
colorImage = imread(path);

grayImage = rgb2gray(colorImage);%转化成灰度图像
[mserRegions] = detectMSERFeatures(grayImage,'regionAreaRange',[70 4500],'ThresholdDelta',2.6);%提取MSER特称
% [mserRegions] = detectMSERFeatures(grayImage,'ThresholdDelta',1);%提取MSER特称
%联通区像素索引列表
pixelIdxList=cellfun(@(xy)sub2ind(size(grayImage),xy(:,2),xy(:,1)),mserRegions.PixelList,'UniformOutput',false);

% 创建结构体mserConnComp存储MSER区域
mserConComp.Connectivity = 8;
mserConComp.ImageSize = size(grayImage);
mserConComp.NumObjects = mserRegions.Count;
mserConComp.PixelIdxList = pixelIdxList;

axes(handles.axes1);
imshow(colorImage);

%基本特征过滤
[mserStats,mserRegions] =conComp_filter(mserConComp,mserRegions,grayImage);
%笔画宽度过滤
[mserRegions,mserStats]=line_filter(mserStats,mserRegions,grayImage);
%转换
[mserboxes]=change(mserStats,mserConComp);
%合并
[mserboxes]=re_define(mserStats,mserboxes,grayImage);

broder=[mserboxes.BoundingBox];
axes(handles.axes2);
imshow(colorImage);
hold on;
    for i=1:numel(mserStats)
        leftx=broder((i-1)*4+1);
        lefty=broder((i-1)*4+2);
        width=broder((i-1)*4+3);
        height=broder((i-1)*4+4);

        rectangle('Position',[leftx,lefty,width,height], 'EdgeColor','g');
    end
hold off;

%分类器
[mserboxes,mserStats]=SVM_filter(mserboxes,mserStats,grayImage);

broder=[mserboxes.BoundingBox];
axes(handles.axes3);
imshow(colorImage);
hold on;
    for i=1:numel(mserStats)
        leftx=broder((i-1)*4+1);
        lefty=broder((i-1)*4+2);
        width=broder((i-1)*4+3);
        height=broder((i-1)*4+4);

        rectangle('Position',[leftx,lefty,width,height], 'EdgeColor','g');
    end
hold off;

%define
[newmserboxes]=define(mserStats,mserboxes,grayImage);

broder=[newmserboxes.BoundingBox];
axes(handles.axes4);
imshow(colorImage);
hold on;
    for i=1:numel(mserStats)
        leftx=broder((i-1)*4+1);
        lefty=broder((i-1)*4+2);
        width=broder((i-1)*4+3);
        height=broder((i-1)*4+4);

        rectangle('Position',[leftx,lefty,width,height], 'EdgeColor','g');
    end
hold off;


% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
ReadList1  = textread('cut_list.txt','%s','delimiter','\n');%载入列表  
sz1=size(ReadList1); 
global kk;
kk=1;
name= char(ReadList1(kk,1));  
colorImage=imread(strcat('C:\Users\Administrator\Desktop\一种基于极大值稳定区域的文本定位方法\基于MSER和SVM的文本定位方法\毕业设计\机器学习\k\',name)); 

grayImage = rgb2gray(colorImage);%转化成灰度图像
[mserRegions] = detectMSERFeatures(grayImage,'regionAreaRange',[70 4500],'ThresholdDelta',2.6);%提取MSER特称
% [mserRegions] = detectMSERFeatures(grayImage,'ThresholdDelta',1);%提取MSER特称
%联通区像素索引列表
pixelIdxList=cellfun(@(xy)sub2ind(size(grayImage),xy(:,2),xy(:,1)),mserRegions.PixelList,'UniformOutput',false);

% 创建结构体mserConnComp存储MSER区域
mserConComp.Connectivity = 8;
mserConComp.ImageSize = size(grayImage);
mserConComp.NumObjects = mserRegions.Count;
mserConComp.PixelIdxList = pixelIdxList;

axes(handles.axes1);
imshow(colorImage);

%基本特征过滤
[mserStats,mserRegions] =conComp_filter(mserConComp,mserRegions,grayImage);
%笔画宽度过滤
[mserRegions,mserStats]=line_filter(mserStats,mserRegions,grayImage);
%转换
[mserboxes]=change(mserStats,mserConComp);
%合并
[mserboxes]=re_define(mserStats,mserboxes,grayImage);

broder=[mserboxes.BoundingBox];
axes(handles.axes2);
imshow(colorImage);
hold on;
    for i=1:numel(mserStats)
        leftx=broder((i-1)*4+1);
        lefty=broder((i-1)*4+2);
        width=broder((i-1)*4+3);
        height=broder((i-1)*4+4);

        rectangle('Position',[leftx,lefty,width,height], 'EdgeColor','g');
    end
hold off;

%分类器
[mserboxes,mserStats]=SVM_filter(mserboxes,mserStats,grayImage);

broder=[mserboxes.BoundingBox];
axes(handles.axes3);
imshow(colorImage);
hold on;
    for i=1:numel(mserStats)
        leftx=broder((i-1)*4+1);
        lefty=broder((i-1)*4+2);
        width=broder((i-1)*4+3);
        height=broder((i-1)*4+4);

        rectangle('Position',[leftx,lefty,width,height], 'EdgeColor','g');
    end
hold off;

%define
[newmserboxes]=define(mserStats,mserboxes,grayImage);

broder=[newmserboxes.BoundingBox];
axes(handles.axes4);
imshow(colorImage);
hold on;
    for i=1:numel(mserStats)
        leftx=broder((i-1)*4+1);
        lefty=broder((i-1)*4+2);
        width=broder((i-1)*4+3);
        height=broder((i-1)*4+4);

        rectangle('Position',[leftx,lefty,width,height], 'EdgeColor','g');
    end
hold off;


% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton3 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
ReadList1  = textread('k_list.txt','%s','delimiter','\n');%载入列表  
sz1=size(ReadList1);
global kk;
kk=kk+1;

name= char(ReadList1(kk,1));  
colorImage=imread(strcat('D:\daily\样本\机器学习\k\',name)); 

grayImage = rgb2gray(colorImage);%转化成灰度图像
[mserRegions] = detectMSERFeatures(grayImage,'regionAreaRange',[70 4500],'ThresholdDelta',2.6);%提取MSER特称
% [mserRegions] = detectMSERFeatures(grayImage,'ThresholdDelta',1);%提取MSER特称
%联通区像素索引列表
pixelIdxList=cellfun(@(xy)sub2ind(size(grayImage),xy(:,2),xy(:,1)),mserRegions.PixelList,'UniformOutput',false);

% 创建结构体mserConnComp存储MSER区域
mserConComp.Connectivity = 8;
mserConComp.ImageSize = size(grayImage);
mserConComp.NumObjects = mserRegions.Count;
mserConComp.PixelIdxList = pixelIdxList;

axes(handles.axes1);
imshow(colorImage);

%基本特征过滤
[mserStats,mserRegions] =conComp_filter(mserConComp,mserRegions,grayImage);
%笔画宽度过滤
[mserRegions,mserStats]=line_filter(mserStats,mserRegions,grayImage);
%转换
[mserboxes]=change(mserStats,mserConComp);
%合并
[mserboxes]=re_define(mserStats,mserboxes,grayImage);

broder=[mserboxes.BoundingBox];
axes(handles.axes2);
imshow(colorImage);
hold on;
    for i=1:numel(mserStats)
        leftx=broder((i-1)*4+1);
        lefty=broder((i-1)*4+2);
        width=broder((i-1)*4+3);
        height=broder((i-1)*4+4);

        rectangle('Position',[leftx,lefty,width,height], 'EdgeColor','g');
    end
hold off;

%分类器
[mserboxes,mserStats]=SVM_filter(mserboxes,mserStats,grayImage);

broder=[mserboxes.BoundingBox];
axes(handles.axes3);
imshow(colorImage);
hold on;
    for i=1:numel(mserStats)
        leftx=broder((i-1)*4+1);
        lefty=broder((i-1)*4+2);
        width=broder((i-1)*4+3);
        height=broder((i-1)*4+4);

        rectangle('Position',[leftx,lefty,width,height], 'EdgeColor','g');
    end
hold off;

%define
[newmserboxes]=define(mserStats,mserboxes,grayImage);

broder=[newmserboxes.BoundingBox];
axes(handles.axes4);
imshow(colorImage);
hold on;
    for i=1:numel(mserStats)
        leftx=broder((i-1)*4+1);
        lefty=broder((i-1)*4+2);
        width=broder((i-1)*4+3);
        height=broder((i-1)*4+4);

        rectangle('Position',[leftx,lefty,width,height], 'EdgeColor','g');
    end
hold off;
if(kk==20)
    kk=0;
end