【裂缝识别】基于matlab GUI BP神经网络路面裂缝识别系统【含Matlab源码 1063期】

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海神之光 发表于 2022/05/29 01:48:13 2022/05/29
【摘要】 一、简介 高速公路路面病害养护和管理的重要部分就是路面裂缝的检测。近年来,路面裂缝自动检测技术已得到了广泛应用,而由于路面裂缝图像的复杂性,检测算法直接影响着检测结果的精确度。因此,本文将重点放在路面裂...

一、简介

高速公路路面病害养护和管理的重要部分就是路面裂缝的检测。近年来,路面裂缝自动检测技术已得到了广泛应用,而由于路面裂缝图像的复杂性,检测算法直接影响着检测结果的精确度。因此,本文将重点放在路面裂缝病害的检测上,为了提高检测的精度,分别从裂缝图像的去噪、图像的增强、图像的分割以及检测后路面裂缝图像的特征提取方面进行深入研究。  在路面裂缝图像中,由于裂缝信息与背景对比度偏低,难以将裂缝直接检测到。对于图像的预处理,首先对图像进行灰度校正,再对校正之后的图像滤波,本文提出了一种改进的中值滤波方法,对图像进行去噪,之后用基于模糊理论的图像增强原理对图像做进一步增强,有效提高了路面裂缝图像的对比度。  针对路面裂缝图像分割,本文分别用了阈值分割和基于形态学多尺度的思想,对于形状规则的裂缝采用的是阈值分割,对于裂缝形状不规则的图像,本文设计了一种多结构元素的抗噪型边缘检测算子,且依据不同形状的结构元素对裂缝边缘填充的几率不同,确定了自适应权重,使得算子检测到了各种类型的裂缝边缘,有效地提高了检测的精度。  对于经过分割后的路面裂缝图像中存在噪声和裂缝断裂的问题,本文对于断裂较窄的图像用形态学中的闭运算和开运算去处理,对于断裂较宽的图像,提出了一种基于生长的断裂裂缝块的连接方法。提高了连接的效率和准确率,使整个检测结果清晰完整。最终,从识别结果图中提取裂缝信息。根据得到的识别结果图,设定一系列判定条件,提取出裂缝的连通域,对裂缝的类型进行判断,最后计算出网状裂缝的面积及线性裂缝的长宽信息。

二、源代码

function varargout = firstPage(varargin)
% FIRSTPAGE MATLAB code for firstPage.fig
%      FIRSTPAGE, by itself, creates a new FIRSTPAGE or raises the existing
%      singleton*.
%
%      H = FIRSTPAGE returns the handle to a new FIRSTPAGE or the handle to
%      the existing singleton*.
%
%      FIRSTPAGE('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in FIRSTPAGE.M with the given input arguments.
%
%      FIRSTPAGE('Property','Value',...) creates a new FIRSTPAGE or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before firstPage_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to firstPage_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 firstPage

% Last Modified by GUIDE v2.5 12-Apr-2021 10:23:22

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @firstPage_OpeningFcn, ...
                   'gui_OutputFcn',  @firstPage_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 firstPage is made visible.
function firstPage_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 firstPage (see VARARGIN)

% Choose default command line output for firstPage
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);
% set(gcf,'menu','figure');
set(gcf,'numbertitle','off','name','基于BP神经网络的路面裂缝检测与处理建议软件');
% UIWAIT makes firstPage wait for user response (see UIRESUME)
% uiwait(handles.figure1);
bg_P=axes('units','normalized','position',[0 0 1 1]);
uistack(bg_P,'bottom');
II=imread('background\8.jpg');
image(II);
hold on 
%  w=text(177,68,'基于BP网络的路面裂缝处理系统','fontsize',25,'color',[1.0 1.0 1.0]);
  w=text(65,98,'基于BP神经网络的路面裂缝检测与处理建议软件','fontsize',25,'color',[0.0 0.0 0.0]);
   w1=text(52,150,'Pavement Crack Detection And Processing Suggest Software ','fontsize',20,'color',[0.0 0.0 0.0]);
   w2=text(250,200,'Based On BP Neural Network ','fontsize',20,'color',[0.0 0.0 0.0]);
    w3=text(385,400,'大学','fontsize',15,'color',[0.0 0.0 0.0]);
    w4=text(340,420,'** University ','fontsize',13,'color',[0.0 0.0 0.0]);
     w5=text(380,470,'1st,April,2021','fontsize',11,'color',[0.0 0.0 0.0]);
   
   
colormap gray;
set(bg_P,'handlevisibility','off','visible','off');

% set(handles.pushbutton1,'visible','off');
% --- Outputs from this function are returned to the command line.
function varargout = firstPage_OutputFcn(~, 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 model_Callback(hObject, eventdata, handles)
% hObject    handle to model (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --------------------------------------------------------------------
function Help_Callback(hObject, eventdata, handles)
% hObject    handle to Help (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --------------------------------------------------------------------
function Exit_Callback(hObject, eventdata, handles)
% hObject    handle to Exit1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
close gcf;

% --------------------------------------------------------------------
function fast_Callback(hObject, eventdata, handles)      %%%%%%%%%%%%%%%%%%%%%%%%%%%模式选择---》快速模式



% --------------------------------------------------------------------
function Retrain_Callback(hObject, eventdata, handles)                     %%%%%%%%%%%%%%%%%%%%%模式选择---》重新训练
ANNcheck;
load data\acy_check;
load data\acy_reg;
t=['准确率为' acy_check];
q=questdlg(t,'是否重新训练','是','否','否');
if q=='是'
    Retrain_Callback();
else
    setappdata(0,'acy_check',acy_check);
    setappdata(0,'acy_reg',acy_reg);
    close(gcf);
    secondPage;
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%作为《重新训练or快速模式》标志
Hit=0;
setappdata(0,'Hit',Hit);                                                     %%%%%%%重新训练模式,则 Hit=0

% --------------------------------------------------------------------
function ask_help_Callback(hObject, eventdata, handles)
% hObject    handle to ask_help (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
open ('Help.docx');


% --------------------------------------------------------------------
function Wenjian_Callback(hObject, eventdata, handles)
% hObject    handle to Wenjian (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --------------------------------------------------------------------
function file_in_Callback(hObject, eventdata, handles)
% hObject    handle to file_in (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
open txt\程序文件介绍.txt

% --------------------------------------------------------------------
function Untitled_1_Callback(hObject, eventdata, handles)
% hObject    handle to Exit1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --------------------------------------------------------------------
function DingYi_Callback(hObject, eventdata, handles)
% hObject    handle to DingYi (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
open txt\裂缝方向定义.txt


% --------------------------------------------------------------------
function Net_Callback(hObject, eventdata, handles)
% hObject    handle to Net (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --------------------------------------------------------------------
function CheckNet_Callback(hObject, eventdata, handles)                    %%%%%%%%%%%%%%%%%关于网路-》检测网络
% hObject    handle to CheckNet (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
open txt\检测网络.txt;

% --------------------------------------------------------------------
function RecNet_Callback(hObject, eventdata, handles)                     %%%%%%%%%%%%%%%%%关于网路-》识别网络
% hObject    handle to RecNet (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
open txt\识别网络.txt;

% --------------------------------------------------------------------
function retrain_c_Callback(hObject, eventdata, handles)
% hObject    handle to retrain_c (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --------------------------------------------------------------------
function retrain_r_Callback(hObject, eventdata, handles)
% hObject    handle to retrain_r (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --------------------------------------------------------------------
function Reset_Callback(hObject, eventdata, handles)                       %%%%%%%%%%%%%%参数重置
% hObject    handle to Reset (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
tex=['默认参数是经过多次试验得到的最优组合,您真的需要重新设置吗?'];
q=questdlg(tex,'温馨提示','是','否','否');
if q=='是'      
    t{1}='最大迭代次数';t{2}='第一隐层隐元数目';t{3}='第二隐层隐元数目';
    t{4}='第一隐层激活函数';t{5}='第二隐层激活函数';t{6}='训练函数';
    title='设置';
    default_t={'5000','432','54','tansig','purelin','trainscg'};
    param=inputdlg(t,title,1,default_t,'on');
    num1=str2num(param{1});num2=str2num(param{2});num3=str2num(param{3});
    str1=(param{4});str2=(param{5});str3=(param{6});
    
    save data\param num1 num2 num3 str1 str2 str3;
    key_reset=1;
    save data\key_reset key_reset;
else
    key_reset=0;
    save data\key_reset key_reset;
    
end
    



% --------------------------------------------------------------------
function f_open_Callback(hObject, eventdata, handles)
% hObject    handle to f_open (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
[filename pathname]=uigetfile({'*.jpg';'*.png';'*.gif'},'选择背景');

% --------------------------------------------------------------------
function f_new_Callback(hObject, eventdata, handles)
% hObject    handle to f_new (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

  
 
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三、运行结果

在这里插入图片描述
在这里插入图片描述

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/118278136

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