【图像处理】基于matlab GUI美颜系统【含Matlab源码 809期】

一、获取代码方式

获取代码方式1：
完整代码已上传我的资源：【图像处理】基于matlab GUI美颜系统【含Matlab源码 809期】

获取代码方式2：
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二、图像处理简介

图像处理知识点：
1 数字图像处理及matlab实现知识点总结1-4
2 数字图像处理及matlab实现知识点总结 5-10

三、部分源代码

function varargout = beautiful2(varargin)
% BEAUTIFUL2 M-file for beautiful2.fig
%      BEAUTIFUL2, by itself, creates a new BEAUTIFUL2 or raises the existing
%      singleton*.imaqhwinfo
%
%      H = BEAUTIFUL2 returns the handle to a new BEAUTIFUL2 or the handle to
%      the existing singleton*.
%
%      BEAUTIFUL2('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in BEAUTIFUL2.M with the given input arguments.
%
%      BEAUTIFUL2('Property','Value',...) creates a new BEAUTIFUL2 or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before untitled_OpeningFunction gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to beautiful2_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

% Copyright 2002-2003 The MathWorks, Inc.

% Edit the above text to modify the response to help beautiful2

% Last Modified by GUIDE v2.5 22-Apr-2021 10:13:32

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @beautiful2_OpeningFcn, ...
                   'gui_OutputFcn',  @beautiful2_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 beautiful2 is made visible.
function beautiful2_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 beautiful2 (see VARARGIN)

% Choose default command line output for beautiful2
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);
choose=importdata('choose.jpg' );
beauty=importdata('beauty.jpg' );
save=importdata('save.jpg' );
%camera=importdata('camera.jpg' );
%shoot=importdata('shoot.jpg' );
set(handles.pushbutton1,'CDATA',choose);
set(handles.pushbutton2,'CDATA',beauty);
set(handles.pushbutton3,'CDATA',save);
%set(handles.pushbutton4,'CDATA',camera);
%set(handles.pushbutton5,'CDATA',shoot);

% UIWAIT makes beautiful2 wait for user response (see UIRESUME)
% uiwait(handles.figure1);


% --- Outputs from this function are returned to the command line.
function varargout = beautiful2_OutputFcn(hObject, eventdata, handles) %设置背景
% 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
%设置背景
varargout{1} = handles.output;
backgroundImage = importdata('background3.jpg'); 
axes(handles.axes3);  
image(backgroundImage); 
axis off;
%摄像头实时画面
global vid;
vid = videoinput('winvideo');



% --- Executes during object creation, after setting all properties.
function text1_CreateFcn(hObject, eventdata, handles)
% hObject    handle to text1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called



% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)  %读取图片
% 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({'*.jpg';'*.bmp';'*.gif'},'选择图片');
if isequal(filename,0)
    -disp('Users Selected Canceled');
else
str=[pathname filename];
im = imread(str);
axes(handles.axes1);
imshow(im);
axes(handles.axes2);
imshow(im);
end;


% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)%美颜
% 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)
axes(handles.axes2);
img=getimage;
I= double(img);
IM1=RF(I,30,100); % RF滤波
IM2=IM1-I + 128;
IM3=imfilter(IM2,fspecial('gaussian',[3 3],100));%高斯模糊
opacity = 40;%透明度
IM = (I*(100 - opacity)+(I+2*IM3 - 256)*opacity)/100;%合成
IM = imfilter(IM,fspecial('gaussian',[1 1],10));%再次高斯滤波
 
MH=IM; 
axes(handles.axes2);
imshow(IM);
guidata(hObject,handles);

% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)%保存图片
% 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)
[filename,pathname]=uiputfile({'*.bmp';},'保存图片','Undefined.bmp');
 
 % Error checking.
if ~isa(obj, 'imaqdevice')
    error(message('imaq:getsnapshot:invalidType'));
elseif (length(obj) > 1)
    error(message('imaq:getsnapshot:OBJ1x1'));
elseif ~isvalid(obj)
    error(message('imaq:getsnapshot:invalidOBJ'));
end

% Get single frame.
try
end;
  
    if exist('joint_image', 'var') && ~isempty(joint_image)
        J = double(joint_image);
    
        if (size(I,1) ~= size(J,1)) || (size(I,2) ~= size(J,2))
            error('Input and joint images must have equal width and height.');
        end
    else
        J = I;
    end
    
    [h w num_joint_channels] = size(J);

    %% Compute the domain transform (Equation 11 of our paper).
    %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

    % Estimate horizontal and vertical partial derivatives using finite
    % differences.
    dIcdx = diff(J, 1, 2);
    dIcdy = diff(J, 1, 1);
    
    dIdx = zeros(h,w);
    dIdy = zeros(h,w);

  

 

  
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四、运行结果

五、matlab版本及参考文献

1 matlab版本
2014a

2 参考文献
[1] 蔡利梅.MATLAB图像处理——理论、算法与实例分析[M].清华大学出版社，2020.
[2]杨丹,赵海滨,龙哲.MATLAB图像处理实例详解[M].清华大学出版社，2013.
[3]周品.MATLAB图像处理与图形用户界面设计[M].清华大学出版社，2013.
[4]刘成龙.精通MATLAB图像处理[M].清华大学出版社，2015.
[5]陈浩,方勇,朱大洲,王成,陈子龙.基于蚁群算法的玉米植株热红外图像边缘检测[J].农机化研究. 2015,37(06)

文章来源: qq912100926.blog.csdn.net，作者：海神之光，版权归原作者所有，如需转载，请联系作者。

原文链接：qq912100926.blog.csdn.net/article/details/116004476