function varargout = test(varargin)

%TEST M-file for test.fig

%      TEST, by itself, creates a new TEST or raises the existing

%      singleton*.

%

%      H = TEST returns the handle to a new TEST or the handle to

%      the existing singleton*.

%

%      TEST('Property','Value',...) creates a new TEST using the

%      given property value pairs. Unrecognized properties are passed via

%      varargin to test_OpeningFcn.  This calling syntax produces a

%      warning when there is an existing singleton*.

%

%      TEST('CALLBACK') and TEST('CALLBACK',hObject,...) call the

%      local function named CALLBACK in TEST.M with the given input

%      arguments.

%

%      *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 test

% Last Modified by GUIDE v2.5 06-Jul-2015 09:18:28

% Begin initialization code - DO NOT EDIT

gui_Singleton = 1;

gui_State = struct('gui_Name',       mfilename, ...

                   'gui_Singleton',  gui_Singleton, ...

                   'gui_OpeningFcn', @test_OpeningFcn, ...

                   'gui_OutputFcn',  @test_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 test is made visible.

function test_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   unrecognized PropertyName/PropertyValue pairs from the

%            command line (see VARARGIN)

handles.dataCount=0;

handles.linedata=[];

handles.axesCount=0;

handles.axesdata=[];

handles.optMode='pickaxes';

handles.datah=[];

handles.axesh=[];

handles.newdata=[];

himage=findobj('tag','axes1');

axes(himage);

% Choose default command line output for test

handles.output = hObject;

% Update handles structure

guidata(hObject, handles);

% UIWAIT makes test wait for user response (see UIRESUME)

% uiwait(handles.figure1);

% --- Outputs from this function are returned to the command line.

function varargout = test_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;

%--------------------------------------------------------------------------

%*******************************  Step1 ***********************************    

% Select the figure you want to deal with.

% Then import it.

%--------------------------------------------------------------------------

% --- 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)

[file,path]=uigetfile({'*.jpg','图片文件(*.jpg)';'*.*','所有文件'},'请选择待分析图片...');

if ~isequal(file, 0)

cd(path);

set(handles.fileEdit,'String',[path file]);

end

% --- 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)

handles.dataCount=0;

handles.axesCount=0; 

image_temp=imread(get(handles.fileEdit,'String'));

imshow(image_temp); %read and show

 handles.ximage=size(image_temp,2);

 handles.yimage=size(image_temp,1);

 guidata(hObject,handles);

% 更新状态栏

 h=findobj('tag','countEdit');

 set(h,'String',num2str(handles.dataCount));

 

%--------------------------------------------------------------------------

%******************************* step 2 ***********************************  

% Select your option: pick data of axes or curve

% Then click on the figure and press down 'space' to save it

% Notes: the axes needs three dots

%        the curve needs six dots at least

%--------------------------------------------------------------------------

% --- Executes on button press in ZoomPB.

function ZoomPB_Callback(hObject, eventdata, handles)

% hObject    handle to ZoomPB (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

handles.optMode='pickaxes';

 guidata(hObject,handles);

% --- Executes on button press in LinePB.

function LinePB_Callback(hObject, eventdata, handles)

% hObject    handle to LinePB (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

handles.optMode='pickdata';

 guidata(hObject,handles);

% --- Executes on key press with focus on figure1 or any of its controls.

function figure1_WindowKeyPressFcn(hObject, eventdata, handles)

% hObject    handle to figure1 (see GCBO)

% eventdata  structure with the following fields (see FIGURE)

% Key: name of the key that was pressed, in lower case

% Character: character interpretation of the key(s) that was pressed

% Modifier: name(s) of the modifier key(s) (i.e., control, shift) pressed

% handles    structure with handles and user data (see GUIDATA)

p=get(gca,'CurrentPoint');

switch handles.optMode

case ('pickdata')

if p(end,1)>0&&p(end,1)0&&p(end,2) http://s1/mw690/0049SVn1zy6TCLabytq10&690
4. 接下来就可以处理你的图片了，操作步骤：

a. 单击.......按钮弹出如下窗口

选择你的图片如 test文件，单击打开，再单击import按钮，即可将图片显示在axes1的位置。
b. 单击坐标轴按钮，确定坐标轴（需确定三个点，在图上单击鼠标后按空格键，即可显示红色标线），再选取图上的数据（点击曲线数据，在图上取点，此时用蓝色星号标出选定的点），如下图:

http://s16/mw690/0049SVn1zy6TCLJr8VV3f&690
c. 根据你的图片选取坐标系是线性的还是对数的，并输入相应的纵横坐标。

d. 再点击变换按钮，可得到新的figure

http://s2/mw690/0049SVn1zy6TCLWqTo5a1&690
至此，数据已提取结束

e. 单击保存按钮，选择txt文件，保存数据即可。

最后再利用MATLAB曲线拟合的功能处理这些数据，即可得到更为准确的曲线数据。

注：由于时间紧张，本程序中没有实现坐标系缩放、平移，以及数据删除的功能，请酌情参考。