【图像去噪】基于matlab高通+低通+带通+方向滤波器图像滤波【含Matlab源码 1209期】
作者：互联网
一、简介
基于matlab高通+低通+带通+方向滤波器图像滤波
二、源代码
function varargout = ImageFilter(varargin)
% IMAGEFILTER M-file for ImageFilter.fig
% IMAGEFILTER, by itself, creates a new IMAGEFILTER or raises the existing
% singleton*.
%
% H = IMAGEFILTER returns the handle to a new IMAGEFILTER or the handle to
% the existing singleton*.
%
% IMAGEFILTER('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in IMAGEFILTER.M with the given input arguments.
%
% IMAGEFILTER('Property','Value',...) creates a new IMAGEFILTER or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before ImageFilter_OpeningFunction gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to ImageFilter_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 ImageFilter
% Last Modified by GUIDE v2.5 15-Jun-2021 17:04:53
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @ImageFilter_OpeningFcn, ...
'gui_OutputFcn', @ImageFilter_OutputFcn, ...
'gui_LayoutFcn', [] , ...
'gui_Callback', []);
if nargin & isstr(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 ImageFilter is made visible.
function ImageFilter_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 ImageFilter (see VARARGIN)
global bIsFileOpen RImage
% Choose default command line output for ImageFilter
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes ImageFilter wait for user response (see UIRESUME)
% uiwait(handles.figure1);
bIsFileOpen = false;
RImage = 0;
% --- Outputs from this function are returned to the command line.
function varargout = ImageFilter_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 pushbutton_refresh.
function pushbutton_refresh_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton_refresh (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global bIsFileOpen Image RImage %文件是否打开，全局变量，影像数组
if(~bIsFileOpen)
return;
end
popup_sel_index = get(handles.popupmenu_sel, 'Value');
scale = get(handles.slider1,'Value');
switch popup_sel_index
case 1
PQ = paddedsize(size(Image));
D0 = scale*PQ(1);
H = hpfilter('gaussian',PQ(1),PQ(2),D0);
H1 = ifftshift(H);
RImage = dftfilt(Image,H);
RImage = im2uint8(mat2gray(RImage));
axes(handles.axes_outputImage);
imshow(RImage);
axes(handles.axes_filter);
imshow(H1);
case 2
PQ = paddedsize(size(Image));
D0 = scale*PQ(2);
H = lpfilter('gaussian',PQ(1),PQ(2),D0);
H1 = ifftshift(H);
RImage = dftfilt(Image,H);
RImage = im2uint8(mat2gray(RImage));
axes(handles.axes_outputImage);
imshow(RImage);
axes(handles.axes_filter);
imshow(H1);
case 3
scale1 = str2double(get(handles.edit_FilterPara2,'String') );
PQ = paddedsize(size(Image));
D1 = scale*PQ(1);
D2 = scale1*PQ(1);
H = bandfilter(PQ(1),PQ(2),D1,D2);
H1 = ifftshift(H);
RImage = dftfilt(Image,H);
RImage = im2uint8(mat2gray(RImage));
axes(handles.axes_outputImage);
imshow(RImage);
axes(handles.axes_filter);
imshow(H1);
case 4
scale1 = -90 + str2double(get(handles.edit_FilterPara2,'String') );
PQ = paddedsize(size(Image));
D1 = floor(2*scale*PQ(1));
D2 = scale1;
H = tapefilter(PQ(1),PQ(2),D1,D2);
H1 = fftshift(H);
RImage = dftfilt(Image,H1);
RImage = im2uint8(mat2gray(RImage));
axes(handles.axes_outputImage);
imshow(RImage);
axes(handles.axes_filter);
imshow(H);
end
FImage = log(1+abs(fft2(Image)));
FUImage = fftshift(im2uint8(mat2gray(FImage)));
axes(handles.axes_inputFreq);
imshow(FUImage);
FRImage = log(1+abs(fft2(RImage)));
FURImage = fftshift(im2uint8(mat2gray(FRImage)));
axes(handles.axes_OutputFreq);
imshow(FURImage);
difImage = im2uint8(double(RImage)-double(Image));
axes(handles.axes_diffImage);
imshow(difImage);
% --- Executes during object creation, after setting all properties.
function popupmenu_sel_CreateFcn(hObject, eventdata, handles)
% hObject handle to popupmenu_sel (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
set(hObject,'BackgroundColor','white');
else
set(hObject,'BackgroundColor',get(0,'defaultUicontrolBackgroundColor'));
end
% --- Executes on selection change in popupmenu_sel.
function popupmenu_sel_Callback(hObject, eventdata, handles)
% hObject handle to popupmenu_sel (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: contents = get(hObject,'String') returns popupmenu_sel contents as cell array
% contents{get(hObject,'Value')} returns selected item from popupmenu_sel
popup_sel_index = get(handles.popupmenu_sel, 'Value');
switch(popup_sel_index)
case 1
set(handles.edit_FilterPara2,'String','0');
set(handles.edit_FilterPara2,'Enable','off');
set(handles.text_para1,'string','滤波圆半径');
set(handles.text_para2,'string','');
case 2
set(handles.edit_FilterPara2,'String','0');
set(handles.edit_FilterPara2,'Enable','off');
set(handles.text_para1,'string','滤波圆半径');
set(handles.text_para2,'string','');
case 3
set(handles.edit_FilterPara2,'Enable','on');
set(handles.text_para1,'string','滤波圆1半径');
set(handles.text_para2,'string','滤波圆2半径');
scale = get(handles.slider1,'Value');
set(handles.edit_FilterPara2,'String',scale+0.1);
case 4
set(handles.edit_FilterPara2,'String',90);
set(handles.edit_FilterPara2,'Enable','on');
set(handles.text_para1,'string','滤波宽度');
set(handles.text_para2,'string','旋转角度');
end
% --- Executes during object creation, after setting all properties.
function slider1_CreateFcn(hObject, eventdata, handles)
% hObject handle to slider1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: slider controls usually have a light gray background, change
% 'usewhitebg' to 0 to use default. See ISPC and COMPUTER.
usewhitebg = 1;
if usewhitebg
set(hObject,'BackgroundColor',[.9 .9 .9]);
else
set(hObject,'BackgroundColor',get(0,'defaultUicontrolBackgroundColor'));
end
% --- Executes on slider movement.
function slider1_Callback(hObject, eventdata, handles)
% hObject handle to slider1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'Value') returns position of slider
% get(hObject,'Min') and get(hObject,'Max') to determine range of slider
set( handles.edit_FilterPara,'String',num2str( get(hObject,'Value') ) );
set( handles.edit_FilterPara2,'String',num2str( get(hObject,'Value')+0.1 ) )
% --- Executes on button press in pushbutton_Input.
function pushbutton_Input_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton_Input (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global bIsFileOpen Image Scale %文件是否打开，全局变量，影像数组
[filename, pathname] = uigetfile( ...
{'*.bmp;*.jpg;*.jpeg;','图像文件 (*.bmp;*.jpg;*.jpeg)';
'*.bmp', '位图文件 (*.bmp)'; ...
'*.jpg','jpeg图像文件 (*.jpg)'; ...
'*.jpeg','jpeg图像文件 (*.jpeg)'; ...
}, '选择一个文件'); %文件打开对话框
if ~isequal(filename, 0) %文件存在
FileFullname=strcat(pathname,filename); %全名
Image = imread(FileFullname); %读入图像，Image
if(size(Image,3)~=1)
errordlg('目前只支持256色图像！');
bIsFileOpen = false; %文件打开
return;
end
bIsFileOpen = true; %文件打开
axes(handles.axes_inputImage); %axes_InputImage
imshow(Image); %在 axes_Image 中显示左图
set(handles.slider1,'Value',0.1);
set(handles.edit_FilterPara,'String',0.1);
set(handles.edit_FilterPara2,'String',0.2);
end
% --- Executes on button press in pushbutton_Output.
function pushbutton_Output_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton_Output (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global RImage
if(size(RImage)==1)
return
end
三、运行结果
四、备注
版本：2014a
标签：图像去噪,set,1209,see,axes,handles,hObject,源码,RImage 来源： https://www.cnblogs.com/QQ912100926/p/15127674.html