function varargout = pjimage(varargin)
% PJIMAGE M-file for pjimage.fig
% PJIMAGE, by itself, creates a new PJIMAGE or raises the existing
% singleton*.
%
% H = PJIMAGE returns the handle to a new PJIMAGE or the handle to
% the existing singleton*.
%
% PJIMAGE('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in PJIMAGE.M with the given input arguments.
%
% PJIMAGE('Property','Value',...) creates a new PJIMAGE or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before pjimage_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to pjimage_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 pjimage
% Last Modified by GUIDE v2.5 07-Jun-2014 21:26:56
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @pjimage_OpeningFcn, ...
'gui_OutputFcn', @pjimage_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 pjimage is made visible.
function pjimage_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 pjimage (see VARARGIN)
% Choose default command line output for pjimage
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
setappdata(handles.figure_pjimage,'img_src',0);%%0表示全局句柄
% UIWAIT makes pjimage wait for user response (see UIRESUME)
% uiwait(handles.figure_pjimage);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% --- Outputs from this function are returned to the command line.
function varargout = pjimage_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 m_file_Callback(hObject, eventdata, handles)
% hObject handle to m_file (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% --------------------------------------------------------------------
function m_file_open_Callback(hObject, eventdata, handles)
% hObject handle to m_file_open (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
msgbox('具体联系Q609553134,0定金')
%setappdata(handles.figure_pjimage,'img_src',img_src);
% --------------------------------------------------------------------
function m_file_save_Callback(hObject, eventdata, handles)
% hObject handle to m_file_save (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
img_src=getappdata(handles.figure_pjimage,'img_src');
[filename,pathname]=uiputfile('*.bmp');%%保存
if isequal(filename,0)||isequal(pathname,0)
return;
else
fpath=fullfile(pathname,filename);
end
% --------------------------------------------------------------------
function m_file_exit_Callback(hObject, eventdata, handles)
% hObject handle to m_file_exit (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
close(handles.figure_pjimage)
% --------------------------------------------------------------------
function image_chuli_Callback(hObject, eventdata, handles)
% hObject handle to image_chuli (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% --------------------------------------------------------------------
function image_chuli_huidu_Callback(hObject, eventdata, handles)
% hObject handle to image_chuli_huidu (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global img_src
axes(handles.axes_dst);
x=rgb2gray(img_src);
imshow(x);
title('灰度变换后图片')
% --------------------------------------------------------------------
function image_chuli_erzhi_Callback(hObject, eventdata, handles)
% hObject handle to image_chuli_erzhi (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
msgbox('Q609553134')
% --------------------------------------------------------------------
function image_chul_xuanzhuan_Callback(hObject, eventdata, handles)
% hObject handle to image_chul_xuanzhuan (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global img_src
axes(handles.axes_dst);
W=imrotate(img_src,180,'crop');
imshow(W);
title('旋转180后的图片')
% --------------------------------------------------------------------
function image_chuli_jianqie_Callback(hObject, eventdata, handles)
% hObject handle to image_chuli_jianqie (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global img_src
axes(handles.axes_dst);
I=imcrop(img_src);
imshow(I);
title('剪切图片');
% --------------------------------------------------------------------
function image_chul_ruihua_Callback(hObject, eventdata, handles)
% hObject handle to image_chul_ruihua (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global img_src
axes(handles.axes_dst);
K=rgb2gray(img_src);
H=fspecial('laplacian');
M=filter2(H,K);
imshow(M)
title('锐化后的图片')
% --------------------------------------------------------------------
function image__Callback(hObject, eventdata, handles)
% hObject handle to image_ (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% --------------------------------------------------------------------
function image_FFT_Callback(hObject, eventdata, handles)
% hObject handle to image_FFT (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global img_src
axes(handles.axes_dst);
FFT=fft2(img_src);%%%二维傅里叶变换
imshow(FFT);
title('FFT变换后的图片');
% --------------------------------------------------------------------
function image_DCT_Callback(hObject, eventdata, handles)
% hObject handle to image_DCT (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global img_src
axes(handles.axes_dst);
I=rgb2gray(img_src);
K=dct2(I);
imshow(K);
title('DCT变换后的图片')
% -------------------------------------------------------------
matlab数字图像处理系统.zip
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更新于2023-10-09
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在MATLAB中进行数字图像处理是一项广泛应用于科研和工程实践的技术。MATLAB作为一个强大的数学计算环境,提供了丰富的图像处理工具箱,使得用户可以方便地进行图像的读取、显示、分析、变换以及处理。本系统可能包含了一系列源代码、教程资料和示例,帮助用户深入理解和应用MATLAB在数字图像处理方面的功能。
我们要了解数字图像的基本概念。数字图像是一种以二进制数据表示的图像,通常由像素阵列构成,每个像素代表图像的一个特定位置和颜色值。在MATLAB中,我们可以使用imread函数读取图像,imshow函数显示图像,imwrite函数保存图像。
接下来,我们探讨MATLAB中的图像处理操作。基本操作包括图像的灰度化、直方图均衡化、滤波(如高斯滤波、中值滤波)、边缘检测(如Canny算法、Sobel算子)等。例如,使用gray2rgb函数可以将灰度图像转换为彩色图像;histeq函数实现直方图均衡化,提升图像对比度;imgaussfilt函数用于应用高斯滤波器平滑图像;edge函数则可用于检测图像边缘。
图像增强是数字图像处理的重要部分。MATLAB提供了多种增强技术,如对比度拉伸、伪彩色编码、锐化等,这些都可以通过调用相应函数来实现,如imadjust用于调整图像的对比度和亮度,colormap可以设置伪彩色编码。
此外,MATLAB还支持图像几何变换,如旋转、缩放、平移和仿射变换。imrotate函数用于图像的旋转,imresize函数可以调整图像尺寸,imtranslate函数则实现了图像的平移。对于更复杂的几何变换,如仿射变换,可以使用affine_transform或imwarp函数。
在图像分析方面,MATLAB提供了计算图像特征的工具,如直方图统计、纹理分析、角点检测等。例如,imhist函数计算图像的灰度直方图,entropyfilt函数用于计算图像的熵,角点检测则可以借助harris或者fast角点检测算法。
MATLAB的图像处理系统还包括图像分割和识别。通过阈值分割、区域生长、水平集等方法,可以将图像分成不同的区域。例如,imbinarize函数可以基于阈值将图像转化为二值图像。此外,MATLAB也支持机器学习算法,如支持向量机(SVM)、神经网络等,用于图像分类和识别任务。
"matlab数字图像处理系统.zip"很可能包含一系列用于学习和实践MATLAB图像处理的源代码和实例。通过这个系统,用户能够掌握图像处理的基本操作,进行图像增强、分析、变换以及分割,同时也能够深入了解图像识别的原理和技术。学习并运用这些知识,对于在科研、工程领域解决实际问题具有极大的价值。
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