【图像融合】基于小波变换实现CT图像融合(融合指标)含Matlab源码

网友投稿 263 2022-09-05


【图像融合】基于小波变换实现CT图像融合(融合指标)含Matlab源码

1 简介

图像融合是对数字图像的预处理,使图像整体或局部特征能有效地改善。本文基于对图像融合理论的理解,分析了小波变换在图像融合中的应用。在此基础上,利用MATLAB对不同融合系数的图像以及不同增强系数的图像进行融合等,并对其结果进行分析与比较,表明采用方法的合理性。

2 部分代码

function varargout = fusegui(varargin)% FUSEGUI MATLAB code for fusegui.fig% FUSEGUI, by itself, creates a new FUSEGUI or raises the existing% singleton*.%% H = FUSEGUI returns the handle to a new FUSEGUI or the handle to% the existing singleton*.%% FUSEGUI('CALLBACK',hObject,eventData,handles,...) calls the local% function named CALLBACK in FUSEGUI.M with the given input arguments.%% FUSEGUI('Property','Value',...) creates a new FUSEGUI or raises the% existing singleton*. Starting from the left, property value pairs are% applied to the GUI before fusegui_OpeningFcn gets called. An% unrecognized property name or invalid value makes property application% stop. All inputs are passed to fusegui_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 fusegui% Last Modified by GUIDE v2.5 21-Apr-2013 12:54:34% Begin initialization code - DO NOT EDITgui_Singleton = 1;gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @fusegui_OpeningFcn, ... 'gui_OutputFcn', @fusegui_OutputFcn, ... 'gui_LayoutFcn', [] , ... 'gui_Callback', []);if nargin && ischar(varargin{1}) gui_State.gui_Callback = str2func(varargin{1});endif 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 fusegui is made visible.function fusegui_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 fusegui (see VARARGIN)% Choose default command line output for fuseguihandles.output = hObject;% Update handles structureguidata(hObject, handles);% UIWAIT makes fusegui wait for user response (see UIRESUME)% uiwait(handles.figure1);% --- Outputs from this function are returned to the command line.function varargout = fusegui_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 structurevarargout{1} = handles.output;% --- 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)global X;global map1;%选择图片路径[filename,pathname]=uigetfile({'*.jpg';'*.bmp';'*.gif';'.png'},'选择图片');%合成路径+文件名str=[pathname filename]; %读取图片[X,map1]=imread(str); ax1=subplot(221); set(ax1,'position',[.05 .47 .2 .4]); imshow(X,map1); setappdata(handles.pushbutton1,'ax1',ax1);% --- 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)global Y;global map2;%选择图片路径[filename,pathname]=uigetfile({'*.jpg';'*.bmp';'*.gif';'.png'},'选择图片');%合成路径+文件名str=[pathname filename]; %读取图片[Y,map2]=imread(str); %读取图像文件,map是颜色表矩阵省略? ax2=subplot(222); set(ax2,'position',[.36 .47 .2 .4]); imshow(Y,map2); setappdata(handles.pushbutton1,'ax2',ax2);% --- Executes on button press in pushbutton3.function pushbutton3_Callback(hObject, eventdata, handles)% 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) ax3=subplot(224); set(ax3,'position',[.68 .47 .2 .4]); global ultimate; imshow(ultimate); setappdata(handles.pushbutton1,'ax3',ax3);% --- Executes on button press in pushbutton4.function pushbutton4_Callback(hObject, eventdata, handles)% hObject handle to pushbutton4 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global ultimate;[filename pathname]=uiputfile({'*.jpg';'*.bmp';'*.gif';'.png'},'图像另存为');imwrite(ultimate,[pathname,filename]);% --- Executes on selection change in popupmenu1.function popupmenu1_Callback(hObject, eventdata, handles)% hObject handle to popupmenu1 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)% Hints: contents = cellstr(get(hObject,'String')) returns popupmenu1 contents as cell array% contents{get(hObject,'Value')} returns selected item from popupmenu1% --- Executes during object creation, after setting all properties.function popupmenu1_CreateFcn(hObject, eventdata, handles)% hObject handle to popupmenu1 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called% Hint: popupmenu controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white');end% --- Executes on selection change in popupmenu2.function popupmenu2_Callback(hObject, eventdata, handles)% hObject handle to popupmenu2 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)val=get(hObject,'value');global wavelet;global X Y ;global ultimate;switch valcase 3 %低频取均值,高频局域方差最大 if ndims(X)==3 else [m,n]=size(X); zz=zeros(m,n,3); zz(:,:,1)=X; zz(:,:,2)=X; zz(:,:,3)=X; X=zz; end if ndims(Y)==3 else [m,n]=size(Y); zzz=zeros(m,n,3); zzz(:,:,1)=Y; zzz(:,:,2)=Y; zzz(:,:,3)=Y; Y=zzz; end X=double(X); Xr=X(:,:,1); Xg=X(:,:,2); Xb=X(:,:,3); [aA1,aH1,aV1,aD1]=dwt2(Xr,wavelet); [aA2,aH2,aV2,aD2]=dwt2(Xg,wavelet); [aA3,aH3,aV3,aD3]=dwt2(Xb,wavelet); Y=double(Y); Yr=Y(:,:,1); Yg=Y(:,:,2); Yb=Y(:,:,3); [bA1,bH1,bV1,bD1]=dwt2(Yr,wavelet); [bA2,bH2,bV2,bD2]=dwt2(Yg,wavelet); [bA3,bH3,bV3,bD3]=dwt2(Yb,wavelet); newA1=zeros(size(aA1)); newA2=zeros(size(aA2)); newA3=zeros(size(aA3)); newH1=zeros(size(aH1)); newV1=zeros(size(aV1)); newD1=zeros(size(aD1)); newH2=zeros(size(aH2)); newV2=zeros(size(aV2)); newD2=zeros(size(aD2)); newH3=zeros(size(aH3)); newV3=zeros(size(aV3)); newD3=zeros(size(aD3));%低频融合规则 [m,n]=size(aA1); for i=1:m for j=1:n newA1(i,j)=(aA1(i,j)+bA1(i,j))/2; end; end; for i=1:m for j=1:n newA2(i,j)=(aA2(i,j)+bA2(i,j))/2; end; end; for i=1:m for j=1:n newA3(i,j)=(aA3(i,j)+bA3(i,j))/2; end; end;

3 仿真结果

4 参考文献

[1]柏春岚, 刘豪. 基于小波变换的图像融合及其MATLAB实现[J]. 科技广场, 2014.

博主简介:擅长智能优化算法、神经网络预测、信号处理、元胞自动机、图像处理、路径规划、无人机等多种领域的Matlab仿真,相关matlab代码问题可私信交流。

部分理论引用网络文献,若有侵权联系博主删除。


版权声明:本文内容由网络用户投稿,版权归原作者所有,本站不拥有其著作权,亦不承担相应法律责任。如果您发现本站中有涉嫌抄袭或描述失实的内容,请联系我们jiasou666@gmail.com 处理,核实后本网站将在24小时内删除侵权内容。

上一篇:【ElM分类】基于海洋捕食者算法优化ElM神经网络实现数据分类附matlab代码
下一篇:Java虚拟机之双亲委派机制详解
相关文章

 发表评论

暂时没有评论,来抢沙发吧~