【图像处理】基于matlab GUI美颜系统【含Matlab源码 809期】
【摘要】
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： 通过订阅紫极神光博客付费专栏，凭支付凭证，私...
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：
通过订阅紫极神光博客付费专栏，凭支付凭证，私信博主，可获得此代码。
备注：
订阅紫极神光博客付费专栏，可免费获得1份代码（有效期为订阅日起，三天内有效）；
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);
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)
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