图像检测基于 gabor滤波器布匹瑕疵检测matlab源码

Posted Matlab走起

tags:

篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了图像检测基于 gabor滤波器布匹瑕疵检测matlab源码相关的知识,希望对你有一定的参考价值。

一、简介

1 Gabor滤波器
在这里插入图片描述
在这里插入图片描述
2 Gabor函数结合代码分析:
在这里插入图片描述
在这里插入图片描述

二、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

三、运行结果

在这里插入图片描述
在这里插入图片描述

在这里插入图片描述

四、备注

完整代码或者仿真咨询添加QQ1575304183

以上是关于图像检测基于 gabor滤波器布匹瑕疵检测matlab源码的主要内容,如果未能解决你的问题,请参考以下文章

图像处理基于遗传算法优化Gabor滤波器提取织物表面特征值进行织物瑕疵识别和处理matlab源码

软件杯布匹纺织瑕疵检测系统——需求结构化

基于opencv的纸张表面质量检测算法中

OpenCV Gabor滤波器实现纹理提取与缺陷分析

code notebook-1

code notebook-1