【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
【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
TT_Matlab
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,完整matlab代码或者程序定制加qq1575304183。
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。
部分理论引用网络文献,若有侵权联系博主删除。
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