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【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

时间:2022-05-04 来源: 浏览:

【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

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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 EDIT gui_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}); 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 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 fusegui handles.output = hObject; % Update handles structure guidata(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 structure varargout{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 val case 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。

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