function salt_pepper_Callback(hObject, eventdata, handles) % hObject handle to salt_pepper (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global T axes(handles.axes2); T=getimage; p=inputdlg({'噪声密度为:'},'输入',1,{'0.05'}); if isempty(p)==1 %errordlg('没有输入！','error'); return else p=str2num(p{1}); I=imnoise(T,'salt & pepper',p); %添加椒盐噪声,其平均值为0，方差为0.05 imshow(I); end

这是一个 MATLAB GUI 中的回调函数，用于在 GUI 界面上添加椒盐噪声到图像中，并显示添加噪声后的图像。

函数的基本流程如下：

1. 获取当前 GUI 界面中的图像 T，使用 `getimage` 函数获取。
2. 弹出输入对话框，让用户输入噪声密度 p。
3. 如果用户没有输入，则直接返回；否则将用户输入转换为数值类型。
4. 使用 `imnoise` 函数向图像中添加椒盐噪声，噪声密度为 p。
5. 在 GUI 界面的 axes2 中显示添加噪声后的图像，使用 `imshow` 函数。

需要注意的是，该函数中使用了 `global` 关键字，表示 T 和 axes2 是全局变量，可以在其他函数中访问。函数中使用了 `inputdlg` 函数弹出对话框，让用户输入噪声密度。同时，函数中调用了 `imnoise` 函数向图像中添加椒盐噪声，并使用 `imshow` 函数在界面上显示添加噪声后的图像。

相关问题

function slider2_Callback(hObject, eventdata, handles) % hObject handle to slider2 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'Value') returns position of slider % get(hObject,'Min') and get(hObject,'Max') to determine range of slider global im; % 提示：get（hObject，'Value'）返回滑块的位置 a=get(handles.slider2,'value'); x1=imadjust(im,[0.3 0.7],[0 1],a); axes(handles.axes2); imshow(x1); % --- Executes during object creation, after setting all properties. function slider2_CreateFcn(hObject, eventdata, handles) % hObject handle to slider2 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: slider controls usually have a light gray background. if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor',[.9 .9 .9]); end 像这样写一个调节椒盐噪声强度的matlab GUI代码

以下是一个调节椒盐噪声强度的 MATLAB GUI 代码，其中包括一个滑块和两个窗口，一个窗口显示原始图像，另一个窗口显示添加椒盐噪声后的图像，并且滑块可以控制噪声的强度：

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

% Last Modified by GUIDE v2.5 19-Jan-2022 17:29:53

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

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

% Update handles structure
guidata(hObject, handles);

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

% Load the image
global im;
im = imread('peppers.png');

% Display the original image
axes(handles.axes1);
imshow(im);

% Display the noisy image with default noise level
noise_level = 0.1;
noisy_im = imnoise(im, 'salt & pepper', noise_level);
axes(handles.axes2);
imshow(noisy_im);


% --- Outputs from this function are returned to the command line.
function varargout = salt_and_pepper_noise_gui_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 slider movement.
function slider1_Callback(hObject, eventdata, handles)
% hObject    handle to slider1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Get the noise level from the slider value
noise_level = get(handles.slider1, 'value');

% Add salt and pepper noise to the image
global im;
noisy_im = imnoise(im, 'salt & pepper', noise_level);

% Display the noisy image
axes(handles.axes2);
imshow(noisy_im);


% --- Executes during object creation, after setting all properties.
function slider1_CreateFcn(hObject, eventdata, handles)
% hObject    handle to slider1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: slider controls usually have a light gray background.
if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor',[.9 .9 .9]);
end

在此代码中，我们首先在 `OpeningFcn` 函数中加载图像，并在 `axes1` 窗口中显示原始图像。然后，我们在 `axes2` 窗口中显示添加了默认噪声级别的椒盐噪声图像。接下来，我们在 `slider1_CreateFcn` 函数中创建一个滑块控件，并将其与 `slider1_Callback` 函数相关联。在 `slider1_Callback` 函数中，我们从滑块的值中获取噪声级别，并将椒盐噪声添加到图像中，然后在 `axes2` 窗口中显示添加噪声后的图像。

function butterworth_low_Callback(hObject, eventdata, handles)%巴特沃斯低通滤波 % hObject handle to butterworth_low (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) axis off %%关闭坐标轴显示 global im; %%声明全局变量 global str; im=imread(str); I=im2double(im); A=imnoise(I,'salt & pepper',0.06); %椒盐噪声 J=fftshift(fft2(A)); [x, y]=meshgrid(-128:127, -128:127); %产生离散数据 z=sqrt(x.^2+y.^2); %幅度值 D1=40; %滤波器的截止频率 n=4; %滤波器的阶数 H1=1./(1+( z/D1).^(2*n)); %滤波器1 K1=J.*H1; %滤波 L1=ifft2(ifftshift(K1)); %傅里叶反变换 axes(handles.axes2); imshow(real(L1));给我修改一下

function butterworth_low_Callback(hObject, eventdata, handles)%巴特沃斯低通滤波
% hObject handle to butterworth_low (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)

axis off; %%关闭坐标轴显示
global im; %%声明全局变量
global str;
im = imread(str);
I = im2double(im);
A = imnoise(I,'salt & pepper',0.06); %椒盐噪声
J = fftshift(fft2(A));
[x, y] = meshgrid(-128:127, -128:127); %产生离散数据
z = sqrt(x.^2 + y.^2); %幅度值
D1 = 40; %滤波器的截止频率
n = 4; %滤波器的阶数
H1 = 1./(1 + (z/D1).^(2*n)); %滤波器1
K1 = J.*H1; %滤波
L1 = real(ifft2(ifftshift(K1))); %傅里叶反变换并取实部

axes(handles.axes2);
imshow(L1); %显示滤波后的图像