【图像处理】基于matlab GUI图像分水岭分割+灰度几何校正+运动图像复原【含Matlab源码 024期】
【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图像分水岭分割+灰...
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图像分水岭分割+灰度几何校正+运动图像复原【含Matlab源码 024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
图像处理基础教程链接
1 【基础教程】基于matlab图像处理（表示方法+数据结构+基本格式+类型转换+读取+点运算+代数运算）【含Matlab源码 834期】
2 【基础教程】基于matlab图像处理（读写+显示+运算+转换+变换+增强+滤波+分析+统计）【含Matlab源码 144期】
3 【基础教程】基于matlab图像增强+复原+分割【含Matlab源码 056期】
三、部分源代码
function varargout = finalwork(varargin)
% FINALWORK M-file for finalwork.fig
% FINALWORK, by itself, creates a new FINALWORK or raises the existing
% singleton*.
%
% H = FINALWORK returns the handle to a new FINALWORK or the handle to
% the existing singleton*.
%
% FINALWORK('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in FINALWORK.M with the given input arguments.
%
% FINALWORK('Property','Value',...) creates a new FINALWORK or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before finalwork_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to finalwork_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 finalwork
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @finalwork_OpeningFcn, ...
'gui_OutputFcn', @finalwork_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 finalwork is made visible.
function finalwork_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 finalwork (see VARARGIN)
% Choose default command line output for finalwork
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes finalwork wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = finalwork_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 pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global img
global info
[filename,pathname]=uigetfile({'*.bmp';'*.tif';'*.jpg';'*.gif';'*.*'},'选择图片');
if pathname == 0
return;
end
str=[pathname filename];
info=imfinfo(str);
img=imread(str);
axes(handles.axes1);
imshow(img);
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
clc;
clear;
close(gcbf);
% --- Executes during object creation, after setting all properties.
function axes1_CreateFcn(hObject, eventdata, handles)
% hObject handle to axes1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
set(hObject,'xTick',[]);
set(hObject,'ytick',[]);
set(hObject,'box','on');
% Hint: place code in OpeningFcn to populate axes1
% --- Executes during object creation, after setting all properties.
function axes2_CreateFcn(hObject, eventdata, handles)
% hObject handle to axes2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
set(hObject,'xTick',[]);
set(hObject,'ytick',[]);
set(hObject,'box','on');
% Hint: place code in OpeningFcn to populate axes2
% --- Executes when selected object is changed in uipanel1.
function uipanel1_SelectionChangeFcn(hObject, eventdata, handles)
% hObject handle to the selected object in uipanel1
% eventdata structure with the following fields (see UIBUTTONGROUP)
% EventName: string 'SelectionChanged' (read only)
% OldValue: handle of the previously selected object or empty if none was selected
% NewValue: handle of the currently selected object
% handles structure with handles and user data (see GUIDATA)
global img
global info
str=get(hObject,'String');
[m n]=size(img);
axes(handles.axes2);
switch str
case '结果重置'
cla ;
case '分水岭分割'
img_watershed=graywatershed(img);
waitbar(1,h,'ok!');
pause(0.6);
delete(h);
imshow(img_watershed);
case '几何校正'
waitbar(1/m*n*2,h,'ok!');
pause(0.6);
delete(h);
imshow(IMG);
figure ,imshow(B);title('hough变换后的图像');
xlabel('\theta'), ylabel('\rho');
axis on, axis normal, hold on;
end
clear;
% --- Executes during object creation, after setting all properties.
function uipanel1_CreateFcn(hObject, eventdata, handles)
% hObject handle to uipanel1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
%计算新图像大小，以及新图像的1,精确定位点
IMGXY1=[im1X,im1Y]*rotmatrix;
IMGXY2=[im1X,1]*rotmatrix;
IMGXY3=[1,1]*rotmatrix;
IMGXY4=[1,im1Y]*rotmatrix;
IMGp11=[min([IMGXY1(1),IMGXY2(1),IMGXY3(1),IMGXY4(1)]),min([IMGXY1(2),IMGXY2(2),IMGXY3(2),IMGXY4(2)])];
IMGX=round(max([IMGXY1(1),IMGXY2(1),IMGXY3(1),IMGXY4(1)])-IMGp11(1));
IMGY=round(max([IMGXY1(2),IMGXY2(2),IMGXY3(2),IMGXY4(2)])-IMGp11(2));
%建立新图像
if (info.BitDepth)==8
IMG=uint8(zeros(IMGX,IMGY))+255; %灰度图像
else IMG=(zeros(IMGX,IMGY))+255; %二值图像
end
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四、运行结果
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。
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