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Matlab GUI要求利用MATLAB GUI設(shè)計(jì)實(shí)現(xiàn)圖像處理的圖形用戶界面,利用MATLAB圖像處理工具箱實(shí)現(xiàn)以下的圖像處理功能: 1.實(shí)現(xiàn)圖像的讀取和保存。 2.讓用戶能夠?qū)D像進(jìn)行任意亮度和對(duì)比度變化調(diào)整,顯示變換前后的圖像。 3.讓用戶能夠用鼠標(biāo)選取圖像感興趣區(qū)域,顯示和保存該選擇區(qū)域。 4.編寫程序通過(guò)最近鄰插值和雙線性插值等算法將用戶所選取的圖像區(qū)域進(jìn)行放大和縮小。整數(shù)倍的操作,并保存,比較幾種插值的效果。 5.實(shí)現(xiàn)圖像直方圖統(tǒng)計(jì)均衡,要求顯示直方圖統(tǒng)計(jì),比較直方圖均衡后的效果。 6.對(duì)圖像加入各種噪聲,通過(guò)幾種濾波算法實(shí)現(xiàn)去噪并比較去噪效果??傮wGUI效果圖(菜單部分功能為要求功能,界面部分及菜單部分功能為擴(kuò)展功能):第一小題:(讀?。┐a:function open_Callback(hObject, eventdata, handles)% hObject handle to open (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)filename,pathname=uigetfile(*.jpg;*.*,Open file,100,100);file=pathname,filename;global G %save path to restoreG=file;x=imread(file);axes(handles.axes1); %show image as reference in axes1imshow(x);axes(handles.axes2); %show image as edit in axes2imshow(x);handles.img=x;guidata(hObject,handles);截圖:分析:通過(guò)uigetfile()實(shí)現(xiàn)打開(kāi)文件對(duì)話框,并且獲取選中對(duì)象的路徑及文件名,將其打開(kāi)。(保存)代碼:function save_Callback(hObject, eventdata, handles)% hObject handle to save (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)savename,savepath=uiputfile(*.jpg;*.*,Save file,untitled.jpg,100,100);file=savepath ,savename;global HH=getimage;imwrite(H,file);handles.img=H;guidata(hObject,handles);imwrite(H,file,Quality,100);截圖:分析:通過(guò)uiputfile()打開(kāi)保存文件對(duì)話框,imwrite()寫入磁盤。第二小題:(亮度調(diào)整)代碼:function rgb_Callback(hObject, eventdata, handles)% hObject handle to rgb (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global Haxes(handles.axes2);H=getimage;defans=1;p=inputdlg(input number(more than 1 is to strengthen dark,else light),input parameter,1,defans,off);p1=str2double(p1);I=imadjust(handles.img,0,1,0,1,p1);imshow(I);handles.img=I;guidata(hObject,handles);截圖:(處理前)(處理后)分析:通過(guò)inputdlg()打開(kāi)輸入信息對(duì)話框,輸入?yún)?shù),在調(diào)用imadjust()函數(shù)改變其亮度(對(duì)比度調(diào)整)代碼:function strengthen_gray_Callback(hObject, eventdata, handles)% hObject handle to strengthen_gray (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)persistent aif isempty(a) a=1endif a=1 helpdlg(The effect gets better for gray,Tip);a=0;endglobal Haxes(handles.axes2);H=getimage; f=imadjust(handles.img,stretchlim(H),);imshow(f);handles.img=f;guidata(hObject,handles);截圖:(處理前)(處理后)分析:通過(guò)helpdlg()輸出信息對(duì)話框提示用戶相關(guān)操作,imadjust(),結(jié)合stretchlim(H)調(diào)整最佳對(duì)比度。第三小題:代碼:function crop_Callback(hObject, eventdata, handles)% hObject handle to crop (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global Haxes(handles.axes2);H=getimage;x=imcrop;imshow(x);handles.img=x;guidata(hObject,handles);截圖:(處理前)(處理后)(保存)分析:通過(guò)imcrop函數(shù)剪取圖像部分區(qū)域,getimage獲取當(dāng)前處理圖像,打開(kāi)文件保存對(duì)話框,讀取路徑,寫入磁盤。第四小題:(最鄰近插值)代碼:function nearest_Callback(hObject, eventdata,handles)% hObject handle to nearest (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global H%axes(handles.axes2);H=getimage;prompt=Input Number:;defans=2;p=inputdlg(prompt,input,1,defans);p1=str2num(p1);f=imresize(H,p1);figure,imshow(f);handles.img=f;guidata(hObject,handles);截圖:(處理前)(處理后)(雙線性插值)代碼:function bilinear_Callback(hObject, eventdata, handles)% hObject handle to bilinear (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global H%axes(handles.axes2);H=getimage;prompt=Input Number:;defans=0.5;p=inputdlg(prompt,input,1,defans);p1=str2num(p1);f=imresize(handles.img,p1,bilinear);figureimshow(f);handles.img=f;guidata(hObject,handles);(處理前)截圖:(處理后)分析:通過(guò)這兩種插值方法,對(duì)于最鄰近插值只是簡(jiǎn)單在行列間直接插入臨近若干行列,使得圖像失真,對(duì)于雙線性插值算法,通過(guò)X與Y方向上通過(guò)成比例插值,這樣使得像素值比較連續(xù),圖像質(zhì)量比較高,顯得平滑,但由于高頻分量值受損,圖像會(huì)顯得比較模糊。第五小題代碼(統(tǒng)計(jì)):function statistics_Callback(hObject, eventdata, handles)% hObject handle to statistics (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)persistent aif isempty(a) a=1endif a=1 warndlg(Please transform it to gray,Warning,modal);a=0;endaxes(handles.axes2);x=imhist(handles.img);%xlabel(value)%ylabel(number)%legend(statistics,0)x1=x(1:10:256);y1=1:10:256;bar(y1,x1,grouped);axis(0,255,0,10000);set(handles.axes2,xtick,0:51:255); %to adapt to the changeset(handles.axes2,ytick,0:1000:10000);截圖:(處理前)(統(tǒng)計(jì))分析:通過(guò)調(diào)用imhist()函數(shù)將不同像素值的點(diǎn)進(jìn)行統(tǒng)計(jì),畫出對(duì)應(yīng)直方圖,在用bar()函數(shù)將直方圖調(diào)整為條狀圖。(代碼均衡)代碼:function self_adapt_Callback(hObject, eventdata, handles)% hObject handle to self_adapt (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)persistent aif isempty(a) a=1endif a=1 warndlg(Please transform it to gray,Warning,modal);a=0;endglobal Haxes(handles.axes2);H=getimage;J=adapthisteq(H);f=imshow(J);handles.img=f;guidata(hObject,handles);截圖:(處理后)分析:通過(guò)dapthisteq()函數(shù)自適應(yīng)調(diào)整灰度值,進(jìn)行圖像均衡。第六小題:代碼(椒鹽噪聲):function pepper_Callback(hObject, eventdata, handles)% hObject handle to pepper (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global Haxes(handles.axes2);H=getimage; defans=0.05;p=inputdlg(Input density of noise:,Input parameter,1,defans);d=str2num(p1);f=imnoise(handles.img,salt & pepper,d);imshow(f);handles.img=f;guidata(hObject,handles);截圖:(處理前)(處理后)(中值濾波)代碼:function median_Callback(hObject, eventdata, handles)% hObject handle to median (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)persistent aif isempty(a) a=1endif a=1 warndlg(Please transform it to gray,Warning,modal);a=0;endglobal Haxes(handles.axes2);H=getimage;A=medfilt2(handles.img);imshow(A);handles.img=A;guidata(hObject,handles);截圖:(高斯噪聲)代碼:function gaussian_Callback(hObject, eventdata, handles)% hObject handle to gaussian (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUID
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