function varargout = Edge_Detection(varargin)
% EDGE_DETECTION MATLAB code for Edge_Detection.fig
%      EDGE_DETECTION, by itself, creates a new EDGE_DETECTION or raises the existing
%      singleton*.
%
%      H = EDGE_DETECTION returns the handle to a new EDGE_DETECTION or the handle to
%      the existing singleton*.
%
%      EDGE_DETECTION('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in EDGE_DETECTION.M with the given input arguments.
%
%      EDGE_DETECTION('Property','Value',...) creates a new EDGE_DETECTION or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before Edge_Detection_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to Edge_Detection_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 Edge_Detection

% Last Modified by GUIDE v2.5 10-May-2015 23:13:34

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @Edge_Detection_OpeningFcn, ...
                   'gui_OutputFcn',  @Edge_Detection_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 Edge_Detection is made visible.
function Edge_Detection_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 Edge_Detection (see VARARGIN)

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

% Update handles structure
guidata(hObject, handles);

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


% --- Outputs from this function are returned to the command line.
function varargout = Edge_Detection_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 Set_Button.
function Set_Button_Callback(hObject, eventdata, handles)
% hObject    handle to Set_Button (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global Current_Image;
global Original_Image;
global Treated_Image;
global RGB_Flag;
Saved_Num=size(Original_Image,2);
if isempty(Current_Image)
   Current_Image=Original_Image{1,Saved_Num};
end
if RGB_Flag==3
   temp_Img= rgb2gray(Current_Image);
else
    temp_Img=Current_Image;
end

method_value = get(handles.popupmenu1,'Value');

switch method_value
    case 1  %点击Roberts边缘检测按钮
        Treated_Image=edge(temp_Img,'roberts');
        figure('NumberTitle', 'off', 'Name', 'roberts算子','Tag','Treated_Image_Fig');
        imshow(Treated_Image);
    case 2  %点击Sobel边缘检测按钮
        Treated_Image=edge(temp_Img,'sobel');
        figure('NumberTitle', 'off', 'Name', 'sobel算子','Tag','Treated_Image_Fig');
        imshow(Treated_Image);
    case 3  %点击Prewitt边缘检测按钮
        Treated_Image=edge(temp_Img,'prewitt');
        figure('NumberTitle', 'off', 'Name', 'prewitt算子','Tag','Treated_Image_Fig');
        imshow(Treated_Image);
    case 4  %点击Log边缘检测按钮       
        Treated_Image=edge(temp_Img,'log');
        figure('NumberTitle', 'off', 'Name', 'log算子','Tag','Treated_Image_Fig');
        imshow(Treated_Image);
    case 5  %点击Canny边缘检测按钮
        Treated_Image=edge(temp_Img,'canny');
        figure('NumberTitle', 'off', 'Name', 'canny算子','Tag','Treated_Image_Fig');
        imshow(Treated_Image);
end;