数字图像处理 降噪滤波 大作业(17页).doc

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1、-数字图像处理 降噪滤波 大作业-第 17 页昆明理工大学信息工程与自动化学院学生实验报告（ 20152016学年 第 一 学期 ）课程名称：图形图像基础程序设计 开课实验室： 2015年 12月 1 日年级、专业、班物联网131学号201310410133姓名李哲成绩实验项目名称图像综合处理指导教师毛存礼教师评语 教师签名： 年 月 日一、实验目的及内容目的：掌握和熟悉Matlab编程环境及语言；掌握图像降噪算法和用途。内容：在课程教学和查阅相关文献资料的基础上，选择下面一个数字图像处理技术专题，实现相应算法进行仿真实验，并完成大作业报告。专题如下：(1) 图像增强处理技术；(2) 图像降噪

2、处理技术。2、题目分析 利用matlab的GUI程序设计一个简单实用的图像处理程序。该程序应具备图像处理的常用功能，以满足用户的使用。现设计程序有以下基本功能：1）图像的读取和保存。2）通过自己输入数值，实现图像的旋转。3）图像直方图统计和直方图均衡，要求显示直方图统计，比较直方图均衡后的效果。4）能对图像加入各种噪声，5)并通过几种滤波算法实现去噪并显示结果。6）将图像转化成灰度图像。软件的总体设计界面布局如上图所示分为显示区域与操作区域。上边为显示区域：显示载入原图，以及通过处理后的图像。操作区域：通过功能键实现对图像的各种处理。设计完成后运行的软件界面如下：4、具体设计现介绍各个功能模块

3、的功能与实现。图像的读取和保存： （1）利用matlab中 “ uigetfile”、“imread” “imshow”实现图像文件的读取与显示：实现代码：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 GUID

4、ATA)filename,pathname=uigetfile(*.jpg;*.bmp;*.tif;*.*,载入图像);if isequal(filename,0)|isequal(pathname,0) errordlg(没有选中文件,出错); return;else file=pathname,filename; global S %设置一个全局变量S，保存初始图像路径，以便之后的还原操作 S=file; x=imread(file); set(handles.axes1,HandleVisibility,ON); axes(handles.axes1); imshow(x); set(h

5、andles.axes1,HandleVisibility,OFF); axes(handles.axes2); imshow(x); handles.img=x; guidata(hObject,handles);end% - 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 fut

6、ure version of MATLAB% handles structure with handles and user data (see GUIDATA) sfilename ,sfilepath=uiputfile(*.jpg;*.bmp;*.tif;*.*,保存图像文件,untitled.jpg); if isequal(sfilename,sfilepath,0,0) sfilefullname=sfilepath ,sfilename; imwrite(handles.img,sfilefullname); else msgbox(你按了取消键,保存失败); end（2）图像保

7、存。利用uiputfile和imwrite函数实现图像文件的保存。实现代码：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) sfilename ,sfilepath=uiputfile(*.jp

8、g;*.bmp;*.tif;*.*,保存图像文件,untitled.jpg); if isequal(sfilename,sfilepath,0,0) sfilefullname=sfilepath ,sfilename; imwrite(handles.img,sfilefullname); else msgbox(你按了取消键,保存失败); end3） 程序的退出。实现代码： function pushbutton5_Callback(hObject, eventdata, handles)% hObject handle to pushbutton5 (see GCBO)% eventd

9、ata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)clc;close all;close(gcf);clear;4.2图像转化为灰度图像因为matlab中较多的图像处理函数支持对灰度图像进行处理，故对图像进行灰度转化十分必要。利用rgb2gray（X）函数对其他图像进行灰度图像的转化。实现代码：function pushbutton11_Callback(hObject, eventdata, handles)

10、% hObject handle to pushbutton11 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global Taxes(handles.axes2);T=getimage;x=rgb2gray(handles.img); %RGB?imshow(x);handles.img=x;guidata(hObject,handles);4.3图像直方图统计和直方

11、图均衡（1）通过histeq（X）函数实现直方图均衡。此函数只能对灰度图像进行直方图均衡所以要先将彩图转为灰度图像。实现代码：function pushbutton12_Callback(hObject, eventdata, handles)% hObject handle to pushbutton12 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global Ta

12、xes(handles.axes2);T=getimage;h=histeq(handles.img); imshow(h);handles.img=h;guidata(hObject,handles); （2） 直方图统计。通过利用imhist(X)函数来实现直方图统计。实现代码：function pushbutton13_Callback(hObject, eventdata, handles)% hObject handle to pushbutton13 (see GCBO)% eventdata reserved - to be defined in a future version

13、 of MATLAB% handles structure with handles and user data (see GUIDATA)axes(handles.axes2);x=imhist(handles.img); %直方图统计x1=x(1:10:256);horz=1:10:256;bar(horz,x1);axis(0 255 0 15000);set(handles.axes2,xtick,0:50:255);set(handles.axes2,ytick,0:2000:15000);4.4加入各种噪声，并通过几种滤波算法实现去噪（1）加入噪声。通过imnoise(I,type

14、,parameters)来加入各种噪声。加入椒盐噪声实现代码：function pushbutton6_Callback(hObject, eventdata, handles)% hObject handle to pushbutton6 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global Taxes(handles.axes2);T=getimage; pro

15、mpt=数日椒盐噪声参数1:; defans=0.02; p=inputdlg(prompt,input,1,defans); p1=str2num(p1); f=imnoise(handles.img,salt & pepper,p1); imshow(f); handles.img=f; guidata(hObject,handles);加入高斯噪声：实现代码：function pushbutton10_Callback(hObject, eventdata, handles)% hObject handle to pushbutton10 (see GCBO)% eventdata re

16、served - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global Taxes(handles.axes2);T=getimage; prompt=输入高斯噪声1:,输入高斯噪声2; defans=0,0.02; p=inputdlg(prompt,input,1,defans); p1=str2num(p1); p2=str2num(p2); f=imnoise(handles.img,gaussian,p1,p2); im

17、show(f); handles.img=f; guidata(hObject,handles);加入乘性噪声：实现代码：function pushbutton8_Callback(hObject, eventdata, handles)% hObject handle to pushbutton8 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global Taxes(

18、handles.axes2);T=getimage; prompt=输入乘性噪声1:; defans=0.02; p=inputdlg(prompt,input,1,defans); p1=str2num(p1); f=imnoise(handles.img,speckle,p1); imshow(f); handles.img=f; guidata(hObject,handles); （2） 滤除噪声（椒盐噪声）滤波前中值滤波后实现代码：function pushbutton14_Callback(hObject, eventdata, handles)% hObject handle to

19、 pushbutton14 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global Taxes(handles.axes2); T=getimage; k=medfilt2(handles.img); imshow(k); handles.img=k; guidata(hObject,handles);线性滤波后实现代码：function pushbutton16_C

20、allback(hObject, eventdata, handles)% hObject handle to pushbutton16 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global Taxes(handles.axes2);T=getimage; h=1 1 1;1 1 1;1 1 1; H=h/9; i=double(handles.img); k=co

21、nvn(i,h); imshow(k,); handles.img=k; guidata(hObject,handles);自适应滤波后实现代码：function pushbutton18_Callback(hObject, eventdata, handles)% hObject handle to pushbutton18 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA

22、)global Taxes(handles.axes2);T=getimage; k=wiener2(handles.img,5,5); imshow(k); handles.img=k; guidata(hObject,handles);低通滤波器滤波后实现代码：function pushbutton19_Callback(hObject, eventdata, handles)% hObject handle to pushbutton19 (see GCBO)% eventdata reserved - to be defined in a future version of MATLA

23、B% handles structure with handles and user data (see GUIDATA)axes(handles.axes2);y1=handles.img; f=double(y1); % 数据类型转换，matlab不支持图像的无符号整型的计算g=fft2(f); % 傅里叶变换g=fftshift(g); % 转换数据矩阵M,N=size(g);nn=2; %二阶巴特沃斯低通滤波器d0=50; %截止频率50m=fix(M/2); n=fix(N/2);for i=1:M for j=1:N d=sqrt(i-m)2+(j-n)2); h=1/(1+0.4

24、14*(d/d0)(2*nn); % 计算低通滤波器传递函数 result(i,j)=h*g(i,j); endendresult=ifftshift(result);y2=ifft2(result);y3=uint8(real(y2);imshow(y3); % 显示处理后的图像高通滤波器滤波后实现代码：function pushbutton20_Callback(hObject, eventdata, handles)% hObject handle to pushbutton20 (see GCBO)% eventdata reserved - to be defined in a fu

25、ture version of MATLAB% handles structure with handles and user data (see GUIDATA)axes(handles.axes2);x=(handles.img);f=double(x); % 数据类型转换k=fft2(f); % 傅里叶变换g=fftshift(k); % 转换数据矩阵M,N=size(g);nn=2;d0=25; %截止频率25m=fix(M/2); n=fix(N/2);for i=1:M for j=1:N d=sqrt(i-m)2+(j-n)2); % 计算高通滤波器传递函数 if d=d0 h=

26、0; else h=1; end result(i,j)=h*g(i,j); endendresult=ifftshift(result);y2=ifft2(result);y3=uint8(real(y2);imshow(y3); % 显示滤波处理后的图像4.5还原通过一个全局变量保存原始图像路径，在需要还原至原始图像时，重新读取该全局变量即可。实现代码：function pushbutton21_Callback(hObject, eventdata, handles)% hObject handle to pushbutton21 (see GCBO)% eventdata reserv

27、ed - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global S %还原 axes(handles.axes2); y=imread(S); f=imshow(y); handles.img=y;guidata(hObject,handles);5、结果分析软件测试基本成功，课题所要求的功能均能较好实现。但一些功能只支持灰度图像的处理。其中值得一提的是在滤波处理中的低通滤波与高通滤波的效果。由于一般图像中含有较多的低频信息成分高

28、频成分较少，通过低通滤波后，噪声以及高频成分被滤除，图像虽有少量失真，略显模糊，但尚可辨识。但若是通过高通滤波后，大量的有效低频信息被滤除，图像严重失真，不可辨识。当我第一次拿到此次的课题时，感到有些无所适从。虽然，曾经学习过matlab的课程，在课程的考核中也取得了较好的成绩，但由于对matlab的学习更多的只是停留在理论上的学习，在课时内的试验也只是简单的基础性试验， 所以对matlab实际运用不是很熟练。 为此，在实践正式开始前，我利用课余时间，重新复习了matlab教材，专门借阅了利用matlab进行图像处理的相关教程，通过索引网络上的相关资料，为课设做了较为充分的准备。在参考了相关材

29、料及源程序，我对自己要做的课设内容有了进一步的了解，并对matlab的使用有了更深的体会。 当然，在课设的进行过程中，我还是遇到了不少问题。例如，起初由于我对句柄使用以及一些函数使用的不恰当，使得在对图像文件的保存上就遇到了问题，不过最后还是在老师的提示下解决了。随着课设的进行，对matlab的的熟悉度逐步加深。 总体来说，此次的课程设计，还是较为满意的。它不但鞭策着我去巩固matlab的基础理论知识，还提高了我对matlab的实际操作运用，使得理论与实践相结合，为进一步学习matlab打下坚实的基础；同时，在实践的工程中，也让我体会到一种努力付出并得到回报的满足感觉。参考书目：(五号，宋体加

30、粗)1 数字图像处理（MATLAB）(第二版) 电子工业出版社附录：(五号，宋体加粗)function varargout = faded(varargin)% FADED, by itself, creates a new FADED or raises the existing% singleton*.% H = FADED returns the handle to a new FADED or the handle to% the existing singleton*.% FADED(CALLBACK,hObject,eventData,handles,.) calls the lo

31、cal% function named CALLBACK in FADED.M with the given input arguments.% FADED(Property,Value,.) creates a new FADED or raises the% existing singleton*. Starting from the left, property value pairs are% applied to the GUI before faded_OpeningFcn gets called. An% unrecognized property name or invalid

32、 value makes property application% stop. All inputs are passed to faded_OpeningFcn via varargin.% *See GUI Options on GUIDEs 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 faded% Last Modi

33、fied by GUIDE v2.5 29-Dec-2015 22:05:27% Begin initialization code - DO NOT EDITgui_Singleton = 1;gui_State = struct(gui_Name, mfilename, . gui_Singleton, gui_Singleton, . gui_OpeningFcn, faded_OpeningFcn, . gui_OutputFcn, faded_OutputFcn, . gui_LayoutFcn, , . gui_Callback, );if nargin & ischar(vara

34、rgin1) gui_State.gui_Callback = str2func(varargin1);endif nargout varargout1:nargout = gui_mainfcn(gui_State, varargin:);else gui_mainfcn(gui_State, varargin:);end% End initialization code - DO NOT EDIT% - Executes just before faded is made visible.function faded_OpeningFcn(hObject, eventdata, handl

35、es, 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 faded (see VARARGIN)% Choose default command lin

36、e output for fadedhandles.output = hObject;% Update handles structureguidata(hObject, handles);% UIWAIT makes faded wait for user response (see UIRESUME)% uiwait(handles.figure1);% - Outputs from this function are returned to the command line.function varargout = faded_OutputFcn(hObject, eventdata,

37、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 structurevarargout1 = handl

38、es.output;% - 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)filename,pathname=ui

39、getfile(*.jpg;*.bmp;*.tif;*.*,载入图像);if isequal(filename,0)|isequal(pathname,0) errordlg(没有选中文件,出错); return;else file=pathname,filename; global S %设置一个全局变量S，保存初始图像路径，以便之后的还原操作 S=file; x=imread(file); set(handles.axes1,HandleVisibility,ON); axes(handles.axes1); imshow(x); set(handles.axes1,HandleVisib

40、ility,OFF); axes(handles.axes2); imshow(x); handles.img=x; guidata(hObject,handles);end% - 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% h

41、andles structure with handles and user data (see GUIDATA) sfilename ,sfilepath=uiputfile(*.jpg;*.bmp;*.tif;*.*,保存图像文件,untitled.jpg); if isequal(sfilename,sfilepath,0,0) sfilefullname=sfilepath ,sfilename; imwrite(handles.img,sfilefullname); else msgbox(你按了取消键,保存失败); end% - Executes on button press in pushbutton5.function pushbutton5_Callback(hObject, eventdata, handles)% hObject handle to pushbutton5 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user dat