【瑕疵检测】基于matlab Gabor滤波布匹瑕疵检测【含Matlab源码 407期】
【摘要】
一、Gabor滤波布匹瑕疵检测简介
1 Gabor滤波器 2 Gabor函数结合代码分析：
二、部分源代码
function varargout = bupi(varargin)
% BUP...
一、Gabor滤波布匹瑕疵检测简介
1 Gabor滤波器
2 Gabor函数结合代码分析：
二、部分源代码
function varargout = bupi(varargin)
% BUPI MATLAB code for bupi.fig
% BUPI, by itself, creates a new BUPI or raises the existing
% singleton*.
%
% H = BUPI returns the handle to a new BUPI or the handle to
% the existing singleton*.
%
% BUPI('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in BUPI.M with the given input arguments.
%
% BUPI('Property','Value',...) creates a new BUPI or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before bupi_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to bupi_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 bupi
% Last Modified by GUIDE v2.5 28-May-2015 22:11:59
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @bupi_OpeningFcn, ...
'gui_OutputFcn', @bupi_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 bupi is made visible.
function bupi_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 bupi (see VARARGIN)
axes(handles.axes1);
imshow([255]);
axes(handles.axes2);
imshow([255]);
axes(handles.axes3);
imshow([255]);
axes(handles.axes4);
imshow([255]);
axes(handles.axes5);
imshow([255]);
axes(handles.axes6);
imshow([255]);
% Choose default command line output for bupi
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes bupi wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = bupi_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)
global tu
axes(handles.axes1)
[filename,pathname]=uigetfile({ ...
'*.*','All Files(*.*)';},...
'选择文件');
%
if isequal([filename,pathname],[0,0])
return
else
%读取图片
pic = fullfile(pathname,filename);
b = imread(pic);
imshow(b);%上面是打开图片的步骤，这一句是显示图片
tu=b;
title('原始图像');
%handle.axes1=b;
end
% 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)
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
global tu;
tu2 = gabor2(tu,0);
axes(handles.axes2);
imshow(tu2);
title('0度滤波结果');
tu2 = gabor2(tu,pi/4);
axes(handles.axes3);
imshow(tu2);
title('pi/4度滤波结果');
tu2 = gabor2(tu,pi/2);
axes(handles.axes4);
imshow(tu2);
title('pi/2度滤波结果');
tu2 = gabor2(tu,pi/4*3);
axes(handles.axes5);
imshow(tu2);
title('pi/4*3度滤波结果');
% 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)
% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
global tu;
P = 5;
T1 =8;
T2 = 100;
I = tu;
I0=I;
%预处理
I=double(I0); %数据类型的转换
[M,N]=size(I);%得到待检测图像的大小
J=junzhicaiyang(I,M,N,P); %调用均值下采样函数
J=uint8(J);
%双线性插值，恢复原来的图像大小
I1=imresize(J,P,'bilinear'); %双线性插值，恢复原来图像的大小。
%进行方差下采样，用于增强图像疵点信息
I1=double(I1);
J1=fangchacaiyang(I1,M,N,P); %调用方差下采样函数
J1=uint8(J1);
%双线性插值，恢复原来图像的大小。
I=imresize(J1,P,'bilinear');
%进行二值化及其后处理
T=Otsu(I);
%解决了利用大津法不能分辨是否含有疵点的缺陷的缺点，统计发现无疵点图像otsu得到阈值均小于8
if T<=T1
T=T1+1;
end
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三、运行结果
四、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.
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/114176979
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