【图像处理】基于数字图像处理平台matlab源码含 GUI

一、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；

二、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)

三、运行结果

由于功能太多，运行结果就不一一展示。

四、备注

完整代码或者代写添加QQ1575304183

往期回顾>>>>>>

【图像识别】国外车牌识别matlab源码

【图像识别】基于cnn卷积神经网络之验证码识别matlab源码

【图像识别】基于svm植物叶子疾病检测和分类matlab源码

【图像识别】路面裂缝识别含GUI源码matlab源码

【图像识别】基于RGB和BP神经网络的人民币识别系统含GUI界面matlab源码​​​​​​​

【图像识别】条形码识别系统matlab源码​​​​​​​

【图像识别】基于不变矩的数字验证码识别含GUI界面matlab源码​​​​​​​

【图像识别】基于模板匹配之手写数字识别系统GUI界面matlab源码​​​​​​​

【图像识别】基于贝叶斯分类器之目标识别matlab源码

【图像识别】身份证号码识别matlab源码

【图像识别】条形码识别系统matlab源码​​​​​​​

【模式识别】基于特征匹配的英文印刷字符识别matlab源码

【图像分类】基于极限学习分类器对遥感图像分类matlab源码​​​​​​​

【图像识别】基于BP神经网络之字母识别matlab源码

【图像特征处理】指纹图像细节特征提取matlab源码

【图像识别】基于反馈神经Hopfield的数字识别matlab源码

【图像识别】基于二值膨胀差分和椒盐滤波之教室内人数识别系统matlab源码

【图像识别】火灾检测matlab源码GUI

【模式识别】基于 Hough变换视频车道线检测matlab源码​​​​​​​

【模式识别】基于matlab Hough变换图片车道线检测

【模式识别】基于差影法之三维人体姿态行为识别matlab源码

【模式识别】指针式表盘识别matlab源码

【图像识别】表情检测matlab源码

【图像检测】基于LSD直线检测matlab源码

【图像识别】基于帧差法跌倒检测matlab源码

【图像融合】红外与可见光的融合与配准算法matlab源码

【图像识别】基于组合BCOSFIRE过滤器进行墙体裂缝识别matlab源码

【图像边缘检测】基于插值法亚像素边缘检测matlab源码

【模式识别】基于贝叶斯最小错误率手写数字识别matlab 源码

【模式识别】基于PCA手写数字识别matlab 源码

【模式识别】基于模板匹配的手写体数字识别matlab源码

【图像识别】基于模板匹配车牌识别matlab源码含GUI

【图像识别】基于模板匹配之人脸表情识别matlab源码含GUI

【图像识别】基于LBP+LPQ算法融合人脸表情识别matlab源码

【图像识别】基于HSV和RGB模型水果分类matlab源码含 GUI