【图像处理】基于matlab GUI数字图像处理平台【含Matlab源码 381期】

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海神之光 发表于 2022/05/29 03:47:48 2022/05/29
【摘要】 一、获取代码方式 获取代码方式1: 通过订阅紫极神光博客付费专栏,凭支付凭证,私信博主,可获得此代码。 获取代码方式2: 完整代码已上传我的资源:【图像处理】基于matlab GUI数字图像处理平台【...

一、获取代码方式

获取代码方式1:
通过订阅紫极神光博客付费专栏,凭支付凭证,私信博主,可获得此代码。

获取代码方式2:
完整代码已上传我的资源:【图像处理】基于matlab GUI数字图像处理平台【含Matlab源码 381期】

备注:
订阅紫极神光博客付费专栏,可免费获得1份代码(有效期为订阅日起,三天内有效);

二、数字图像处理简介

基于matlab GUI数字图像处理平台:8大功能
1 文件操作:读取显示、保存图像、退出;
2 图像编辑:图像缩放、图像滤波、图像剪裁、格式转换、纹理映射;
3 图像分析:像素选择、强度描述图、图像轮廓图、绘制直方图;
4 图像调整:直方图均衡化、直方图规定化、去背景、阙值化、灰度变换;
5 图像平滑:加噪、中值滤波、低通滤波、图像复原;
6 图像锐化:梯度法、Sobel算子滤波、拉氏算子滤波、空域高通滤波、频域高通滤波;
7 图像高级处理:边缘检测、图像分割;
8 小波变换:1次小波分解、2次小波分解、第1层小波重构、第2层小波重构;

三、部分源代码

unction varargout = cml20062036(varargin)
%CML20062036 M-file for cml20062036.fig
%      CML20062036, by itself, creates a new CML20062036 or raises the existing
%      singleton*.
%
%      H = CML20062036 returns the handle to a new CML20062036 or the handle to
%      the existing singleton*.
%
%      CML20062036('Property','Value',...) creates a new CML20062036 using the
%      given property value pairs. Unrecognized properties are passed via
%      varargin to cml20062036_OpeningFcn.  This calling syntax produces a
%      warning when there is an existing singleton*.
%
%      CML20062036('CALLBACK') and CML20062036('CALLBACK',hObject,...) call the
%      local function named CALLBACK in CML20062036.M with the given input
%      arguments.
%
%      *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 cml20062036

% Last Modified by GUIDE v2.5 12-May-2009 12:43:40

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @cml20062036_OpeningFcn, ...
                   'gui_OutputFcn',  @cml20062036_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 cml20062036 is made visible.
function cml20062036_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   unrecognized PropertyName/PropertyValue pairs from the
%            command line (see VARARGIN)

% Choose default command line output for cml20062036
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes cml20062036 wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = cml20062036_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;
% --------------------------------------------------------------------
function Untitled_1_Callback(hObject, eventdata, handles)
% hObject    handle to Untitled_1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% --------------------------------------------------------------------
function Untitled_2_Callback(hObject, eventdata, handles)
% hObject    handle to Untitled_2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% --------------------------------------------------------------------
function Untitled_3_Callback(hObject, eventdata, handles)
% hObject    handle to Untitled_3 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% --------------------------------------------------------------------
function Untitled_4_Callback(hObject, eventdata, handles)
% hObject    handle to Untitled_4 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% --------------------------------------------------------------------
function Untitled_5_Callback(hObject, eventdata, handles)
% hObject    handle to Untitled_5 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% --------------------------------------------------------------------
function Untitled_6_Callback(hObject, eventdata, handles)
% hObject    handle to Untitled_6 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% --------------------------------------------------------------------
function Untitled_31_Callback(hObject, eventdata, handles)
% hObject    handle to Untitled_31 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
clear
I=imread('cats.tif');
[X,map]=rgb2ind(I,0.1);
nbcol=size(map,1);
colormap(pink(nbcol));
cod_X=wcodemat(X,nbcol);
[ca1,ch1,cv1,cd1]=dwt2(X,'db1');
cod_ca1=wcodemat(ca1,nbcol);
cod_ch1=wcodemat(ch1,nbcol);
cod_cv1=wcodemat(cv1,nbcol);
cod_cd1=wcodemat(cd1,nbcol);
% --------------------------------------------------------------------
function Untitled_32_Callback(hObject, eventdata, handles)
% hObject    handle to Untitled_32 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
clear
I=imread('cats.tif');
[X,map]=rgb2ind(I,0.1);
nbcol=size(map,1);
colormap(pink(nbcol));
cod_X=wcodemat(X,nbcol);
[ca1,ch1,cv1,cd1]=dwt2(X,'db1');
[ca2,ch2,cv2,cd2]=dwt2(ca1,'db1');
cod_ca2=wcodemat(ca2,nbcol);
cod_ch2=wcodemat(ch2,nbcol);
cod_cv2=wcodemat(cv2,nbcol);
cod_cd2=wcodemat(cd2,nbcol);
title('对cats索引图像的2次小波分解')
% --------------------------------------------------------------------
function Untitled_33_Callback(hObject, eventdata, handles)
% hObject    handle to Untitled_33 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
clear
I=imread('cats.tif');
[X,map]=rgb2ind(I,0.1);
nbcol=size(map,1);
colormap(pink(nbcol));
cod_X=wcodemat(X,nbcol);
[ca1,ch1,cv1,cd1]=dwt2(X,'db1');
a0=idwt2(ca1,ch1,cv1,cd1,'db1',size(X));
a0=wcodemat(a0,nbcol);
subplot(1,1,1),image(a0)
title('对cats索引图像的第一层重构')
% --------------------------------------------------------------------
function Untitled_34_Callback(hObject, eventdata, handles)
% hObject    handle to Untitled_34 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
clear
I=imread('cats.tif');
[X,map]=rgb2ind(I,0.1);
nbcol=size(map,1);
colormap(pink(nbcol));
cod_X=wcodemat(X,nbcol);
[ca1,ch1,cv1,cd1]=dwt2(X,'db1');
[ca2,ch2,cv2,cd2]=dwt2(ca1,'db1');
a0=idwt2(ca2,ch2,cv2,cd2,'db1',size(X));
a0=wcodemat(a0,nbcol);
subplot(1,1,1),image(a0)
title('对cats索引图像的第二层重构')
% --------------------------------------------------------------------
function Untitled_25_Callback(hObject, eventdata, handles)
% hObject    handle to Untitled_25 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
I=imread('cats.tif');
V=0.02;
noise1=imnoise(I,'gaussian',0,V);%加高斯噪声
noise=0.1*randn(size(I));%加随机噪声
noise2=imadd(I,im2uint8(noise));
noise3=imnoise(I,'salt & pepper', 0.02);
noise4=imnoise(I,'speckle',0.06);
% --------------------------------------------------------------------
function Untitled_26_Callback(hObject, eventdata, handles)
% hObject    handle to Untitled_26 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
I=imread('gray.bmp');
I1=imnoise(I,'salt & pepper',0.06);
I2=double(I1)/255;
J2=medfilt2(I2,[3 3]);
subplot(1,2,1),imshow(I1);title('加椒盐噪声后的图像')
subplot(1,2,2),imshow(J2);title('中值滤波后的图像')
% --------------------------------------------------------------------
function Untitled_27_Callback(hObject, eventdata, handles)
% hObject    handle to Untitled_27 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% --------------------------------------------------------------------
function Untitled_28_Callback(hObject, eventdata, handles)
% hObject    handle to Untitled_28 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
clc
clear
A=imread('gray.bmp')
I=double(A)/255;
%load woman2
%I=ind2gray(X,map)
noisy=imnoise(I,'gaussian',0.06);
[M N]=size(I);
F=fft2(noisy);
fftshift(F);
Dcut=100;
D0=150;
D1=250;
for u=1:M
    for v=1:N
        D(u,v)=sqrt(u^2+v^2);
        BUTTERH(u,v)=1/(1+(sqrt(2)-1)*(D(u,v)/Dcut)^2);
        EXPOTH(u,v)=exp(log(1/sqrt(2))*(D(u,v)/Dcut)^2);
        if D(u,v)<D0
            TRAPEH(u,v)=1;
        else if D(u,v)<=D1
                TRAPEH(u,v)=(D(u,v)-D1)/(D0-D1);
            else TRAPEH(u,v)=0;
            end
        end
    end
end
BUTTERG=BUTTERH.*F;
BUTTERfiltered=ifft2(BUTTERG);
EXPOTG=EXPOTH.*F;
EXPOTfiltered=ifft2(EXPOTG);
TRAPEG=TRAPEH.*F;
TRAPEfiltered=ifft2(TRAPEG);
  
 

四、运行结果

由于功能太多,运行结果就不一一展示。
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五、matlab版本及参考文献

1 matlab版本
2014a

2 参考文献
[1] 蔡利梅.MATLAB图像处理——理论、算法与实例分析[M].清华大学出版社,2020.
[2]杨丹,赵海滨,龙哲.MATLAB图像处理实例详解[M].清华大学出版社,2013.
[3]周品.MATLAB图像处理与图形用户界面设计[M].清华大学出版社,2013.
[4]刘成龙.精通MATLAB图像处理[M].清华大学出版社,2015.
[5]陈浩,方勇,朱大洲,王成,陈子龙.基于蚁群算法的玉米植株热红外图像边缘检测[J].农机化研究. 2015,37(06)

文章来源: qq912100926.blog.csdn.net,作者:海神之光,版权归原作者所有,如需转载,请联系作者。

原文链接:qq912100926.blog.csdn.net/article/details/114010284

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