function varargout = Image_processing_GUI(varargin)
% IMAGE_PROCESSING_GUI MATLAB code for Image_processing_GUI.fig
% IMAGE_PROCESSING_GUI, by itself, creates a new IMAGE_PROCESSING_GUI or raises the existing
% singleton*.
%
% H = IMAGE_PROCESSING_GUI returns the handle to a new IMAGE_PROCESSING_GUI or the handle to
% the existing singleton*.
%
% IMAGE_PROCESSING_GUI('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in IMAGE_PROCESSING_GUI.M with the given input arguments.
%
% IMAGE_PROCESSING_GUI('Property','Value',...) creates a new IMAGE_PROCESSING_GUI or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before Image_processing_GUI_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to Image_processing_GUI_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 Image_processing_GUI
% Last Modified by GUIDE v2.5 04-Sep-2021 08:30:15
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @Image_processing_GUI_OpeningFcn, ...
'gui_OutputFcn', @Image_processing_GUI_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 Image_processing_GUI is made visible.
function Image_processing_GUI_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 Image_processing_GUI (see VARARGIN)
% Choose default command line output for Image_processing_GUI
handles.output = hObject;
set(handles.save,'Enable','off');
set(handles.exit,'Enable','off');
set(handles.reset,'Enable','off');
set(handles.g1,'Visible','off');
set(handles.g2,'Visible','off');
set(handles.g3,'Visible','off');
set(handles.g4,'Visible','off');
set(handles.g5,'Visible','off');
set(handles.n1,'Enable','off');
set(handles.n2,'Enable','off');
set(handles.n3,'Enable','off');
set(handles.n4,'Enable','off');
set(handles.f1,'Enable','off');
set(handles.f2,'Enable','off');
set(handles.f3,'Enable','off');
set(handles.slider1,'Enable','off');
set(handles.slider2,'Enable','off');
set(handles.slider3,'Enable','off');
set(handles.slider4,'Enable','off');
set(handles.slider5,'Enable','off');
set(handles.m1,'Enable','off');
set(handles.m2,'Enable','off');
set(handles.m3,'Enable','off');
set(handles.m4,'Enable','off');
set(handles.m5,'Enable','off');
set(handles.m6,'Enable','off');
set(handles.m7,'Enable','off');
set(handles.m8,'Enable','off');
set(handles.m9,'Enable','off');
set(handles.p1,'Enable','off');
set(handles.p2,'Enable','off');
set(handles.p3,'Enable','off');
set(handles.p4,'Enable','off');
set(handles.p5,'Enable','off');
set(handles.invc,'Enable','off');
set(handles.dia,'Enable','off');
set(handles.ero,'Enable','off');
set(handles.strel,'Enable','off');
set(handles.strels,'Enable','off');
set(handles.strelv,'Enable','off');
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes Image_processing_GUI wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = Image_processing_GUI_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;
%示波器g4彩色图象更新函数
function updateg4(handles)
r=handles.img(:,:,1);
g=handles.img(:,:,2);
b=handles.img(:,:,3);
x=size(r);
x=(1:x(1,2));
r=r(1,:);
g=g(1,:);
b=b(1,:);
axes(handles.g4);
cla;
plot(x,r,'r');
hold on
plot(x,g,'g');
plot(x,b,'b');
hold off;
ImageData1 = reshape(handles.img(:,:,1), [size(handles.img, 1) * size(handles.img, 2) 1]);
ImageData2 = reshape(handles.img(:,:,2), [size(handles.img, 1) * size(handles.img, 2) 1]);
ImageData3 = reshape(handles.img(:,:,3), [size(handles.img, 1) * size(handles.img, 2) 1]);
[H1, X1] = hist(ImageData1, 1:5:256);
[H2, X2] = hist(ImageData2, 1:5:256);
[H3, X3] = hist(ImageData3, 1:5:256);
axes(handles.g5);
cla;
hold on;
plot(X1, H1, 'r');
plot(X2, H2, 'g');
plot(X3, H3, 'b');
axis([0 256 0 max([H1 H2 H3])]);
%示波器灰色图象更新函数
function updateg4_1(handles)
k=handles.img(:,:,1);
x=size(k);
x=(1:x(1,2));
k=k(1,:);
axes(handles.g4);
cla;
plot(x,k,'k');
ImageData = reshape(handles.img, [size(handles.img, 1) * size(handles.img, 2) 1]);
[H, X] = hist(ImageData, 1:5:256);
axes(handles.g5);
cla;
hold on;
plot(X, H, 'k');
axis([0 256 0 max(H)]);
%打开
% --- Executes on button press in load.
function load_Callback(hObject, eventdata, handles)
[file path]=uigetfile({'*.jpg';'*.bmp';'*.jpeg';'*.png'}, '打开文件');
image=[path file];
handles.file=image;
if (file==0)
warndlg('请选择一张图片...') ;
end
[fpath, fname, fext]=fileparts(file);
validex=({'.bmp','.jpg','.jpeg','.png'});
found=0;
for (x=1:length(validex))
if (strcmpi(fext,validex{x}))
found=1;
set(handles.save,'Enable','on');
set(handles.exit,'Enable','on');
set(handles.reset,'Enable','on');
set(handles.g1,'Visible','on');
set(handles.g2,'Visible','on');
set(handles.g3,'Visible','on');
set(handles.g4,'Visible','on');
set(handles.g5,'Visible','on');
set(handles.n1,'Enable','on');
set(handles.n2,'Enable','on');
set(handles.n3,'Enable','on');
set(handles.n4,'Enable','on');
set(handles.f1,'Enable','on');
set(handles.f2,'Enable','on');
set(handles.f3,'Enable','on');
set(handles.slider1,'Enable','on');
set(handles.slider2,'Enable','on');
set(handles.slider3,'Enable','on');
set(handles.slider4,'Enable','on');
set(handles.slider5,'Enable','on');
set(handles.m1,'Enable','on');
set(handles.m2,'Enable','on');
set(handles.m3,'Enable','on');
set(handles.m4,'Enable','on');
set(handles.m5,'Enable','on');
set(handles.m6,'Enable','on');
set(handles.m7,'Enable','on');
set(handles.m8,'Enable','on');
set(handles.m9,'Enable','on');
set(handles.p1,'Enable','on');
set(handles.p2,'Enable','on');
set(handles.p3,'Enable','on');
set(handles.p4,'Enable','on');
set(handles.p5,'Enable','on');
set(handles.invc,'Enable','on');
set(handles.dia,'Enable','on');
set(handles.ero,'Enable','on');
set(handles.strel,'Enable','on');
set(handles.strels,'Enable','on');
set(handles.strelv,'Enable','on');
handles.img=imread(image);
handles.i=imread(image);
h = waitbar(0,'等待...');
steps = 100;
for step = 1:steps
waitbar(step / steps)
end
close(h)
axes(handles.g1);
cla;
imshow(handles.img);
axes(handles.g2);
cla;
imshow(handles.img);
guidata(hObject,handles);
break;
end
end
if (found==0)
errordlg('文件扩展名不正确,请从可用扩展名[.jpg、.jpeg、.bmp、.png]中选择文件','Image Format Error');
end
set(handles.g3,'Visible','on');
set(handles.g4,'Visible','on');
% 示波器g3更新
mysize=size(handles.img);
if numel(mysize)>2
r=handles.i(:,:,1);
g=handles.i(:,:,2);
b=handles.i(:,:,3);
x=size(r);
x=(1:x(1,2));
r=r(1,:);
g=g(1,:);
b=b(1,:);
基于Matlab图像处理GUI源代码

在图像处理领域,MATLAB是一种广泛使用的工具,其强大的计算能力和丰富的图像处理库使得它成为科研和工程人员的首选。本资源"基于Matlab图像处理GUI源代码"提供了一种图形用户界面(GUI)的方式,使得非编程背景的用户也能方便地进行图像操作。以下将详细介绍其中涉及的主要知识点:
1. **MATLAB图像处理基础**:MATLAB提供了大量的图像处理函数,如`imread`用于读取图像,`imshow`用于显示图像,`imwrite`用于保存图像。此外,`imadjust`用于调整图像的亮度和对比度,`rgb2gray`可以将彩色图像转换为灰度图像。
2. **RGB值调整**:RGB是红绿蓝三原色模型,通过调整这三种颜色的强度,可以改变图像的整体色调和明暗。在MATLAB中,可以通过直接操作图像矩阵来实现RGB值的调整。
3. **图像旋转**:MATLAB中的`imrotate`函数可以实现图像的任意角度旋转。通过设定旋转中心和旋转角度,可以精确控制图像的旋转效果。
4. **滤波**:图像滤波是图像处理的重要步骤,包括平滑滤波(如高斯滤波)、锐化滤波(如拉普拉斯滤波)和边缘增强滤波。MATLAB中的`imgaussfilt`、`wiener2`和`medfilt2`分别对应高斯滤波、维纳滤波和中值滤波。
5. **边缘检测**:MATLAB提供了多种边缘检测算法,如Canny算子、Sobel算子和Prewitt算子。这些算法可以帮助我们找到图像中的边界,提高图像分析的精度。
6. **GUI设计**:MATLAB的GUIDE(图形用户界面开发环境)允许用户创建自定义的交互式界面。通过拖放控件,设置回调函数,可以构建出功能丰富的图像处理应用。GUI源代码通常包括.m文件,其中包含了控件定义和处理逻辑。
7. **文件操作**:在MATLAB中,`uigetfile`和`uiputfile`函数用于打开和保存文件对话框,可以方便用户选择图像文件。同时,`imfinfo`函数可以获取图像文件的相关信息。
8. **代码可修改性**:提供的源代码意味着用户可以根据自身需求进行定制和扩展,增加新的功能或者优化现有的处理流程。
这个基于MATLAB的图像处理GUI源代码,对于学习和实践图像处理技术非常有帮助。用户不仅可以了解基本的图像处理操作,还能深入理解GUI设计原理,提升自己的编程技能。无论是学术研究还是实际项目开发,都能从中受益。通过探索和修改源代码,用户可以更加熟练地运用MATLAB进行复杂图像处理任务。

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