【图像融合】基于小波变换实现CTI与MRI医学图像融合含Matlab源码(小波变换图像融合matlab实例)

网友投稿 319 2022-09-08


【图像融合】基于小波变换实现CTI与MRI医学图像融合含Matlab源码(小波变换图像融合matlab实例)

1 简介

研究目的:为了对医学图像进行基于小波变换的融合.方法:首先通过学习和研究小波理论的有关知识来研究小波理论在图像融合中的应用目的和实现方法,并借助MATLAB平台,通过小波工具箱实现了图像融合,同时比较了使用这两种方法实现图像融合的效果;然后借助MATLAB中的函数,通过编程实现了图像融合算法.结果:由两幅非同源的医学图像(CT图像和MRI图像)的融合结果可见,两种方法得到的融合图像的效果一致,其对于两幅图像中同一部位相对位置偏移量小的融合效果较好,但对偏移量较大以及存在形变情况的融合则效果不好.结论:通过小波工具箱可以实现一些简单的医学图像融合,但是随着医学图像融合技术的进一步发展和医学图像的复杂度的进一步加深,尤其是对于腹部和胸部的医学图像,则要通过非刚性配准之后才能再进行融合显像,其过程更加复杂.

2 部分代码

function varargout = main(varargin)% MAIN MATLAB code for main.fig% MAIN, by itself, creates a new MAIN or raises the existing% singleton*.%% H = MAIN returns the handle to a new MAIN or the handle to% the existing singleton*.%% MAIN('CALLBACK',hObject,eventData,handles,...) calls the local% function named CALLBACK in MAIN.M with the given input arguments.%% MAIN('Property','Value',...) creates a new MAIN or raises the% existing singleton*. Starting from the left, property value pairs are% applied to the GUI before main_OpeningFcn gets called. An% unrecognized property name or invalid value makes property application% stop. All inputs are passed to main_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 main% Last Modified by GUIDE v2.5 14-Dec-2017 19:28:26% Begin initialization code - DO NOT EDITgui_Singleton = 1;gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @main_OpeningFcn, ... 'gui_OutputFcn', @main_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 main is made visible.function main_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 main (see VARARGIN)% Choose default command line output for mainhandles.output = hObject;handles.imfusion1=[];handles.imfusion2=[];axis(handles.axes1,'off');axis(handles.axes2,'off');axis(handles.axes3,'off')movegui(handles.figure1,'center');% Update handles structureguidata(hObject, handles);uiwait(handles.figure1);% UIWAIT makes main wait for user response (see UIRESUME)% uiwait(handles.figure1);% --- Outputs from this function are returned to the command line.function varargout = main_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)img =handles.imfusion1;% img = rgb2gray(img);% img = img(20:160,140:280);nn=10;img=imresize(img,[58*nn 77*nn]);% --- Executes when uipanel1 is resized.function uipanel1_ResizeFcn(hObject, eventdata, handles)% hObject handle to uipanel1 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)

3 仿真结果

​4 参考文献

[1]周朋, 奚日辉, 宋玲玲,等. 基于小波变换的医学图像融合技术的实现[J]. 中国图象图形学报, 2006, 11(11):4.

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:【图像去雾】基于直方图算法+Retinex实现低对比度图像去雾含Matlab源码
下一篇:【图像分割】基于meanshift实现色盲图像分割含Matlab源码
相关文章

 发表评论

暂时没有评论,来抢沙发吧~