【车辆识别】基于matlab GUI小波和盒维数车型识别【含Matlab源码 727期】

一、差分盒维数简介

差分盒维数（differential box-counting,DBC），可以作为图像表面纹理粗糙程度的度量，因为它有很好的精确性和适用性，而且能满足计算效率和动态特性的要求。

1 处理流程
对于一个MM大小的图像，在三维空间中，(x,y)代表空间的位置，z代表其对应点的灰度值gray(x,y)。
1.1 图像分块，ss，r = s/M
1.2 在每一个ss的分块中，都有一个盒子柱ss*s’。如果最大灰度值为G，通常为256,则G/s’ = M/s。
1.3 计算每个分块的最大灰度值和最小灰度值，它们分别落在盒子k和l中，则
nr = k-l+1
1.4 Nr = sum(nr)， d = log(Nr) / log(1/r)
1.5 对图像进行不同的分块，将最后结果进行最小二乘拟合。

2 QUESTION
2.1 s’怎么理解？
s’表示需要多少个盒子覆盖整个灰度曲面。
2.2 怎么理解灰度最大值和最小值落在盒子k和l中？
对图像进行分块，可能看成是对其按一定比例缩小的过程，对于灰度也要按照相同的比例缩小。比如分块大小为22，图像大小为256256，则k = maxgray/(256/2)，同样，l = mingray /(256/2)。

二、部分源代码

function varargout = Carcheck(varargin)
% CARCHECK M-file for Carcheck.fig
%      CARCHECK, by itself, creates a new CARCHECK or raises the existing
%      singleton*.
%
%      H = CARCHECK returns the handle to a new CARCHECK or the handle to
%      the existing singleton*.
%
%      CARCHECK('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in CARCHECK.M with the given input arguments.
%
%      CARCHECK('Property','Value',...) creates a new CARCHECK or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before Carcheck_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to Carcheck_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
% Subfunction: 
%           FindCentroidLaserSpotUsingFourier.m
%           boundaries.m
%           FractalDim.m



% Edit the above text to modify the response to help Carcheck

% Last Modified by GUIDE v2.5 29-Apr-2014 11:42:42

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

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

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes Carcheck wait for user response (see UIRESUME)
% uiwait(handles.carcheck);


% --- Outputs from this function are returned to the command line.
function varargout = Carcheck_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 selection change in list.
function list_Callback(hObject, eventdata, handles)
% hObject    handle to list (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: contents = get(hObject,'String') returns list contents as cell array
%        contents{get(hObject,'Value')} returns selected item from list
car_pic = get(handles.carorigin, 'UserData');

set(handles.list,'UserData',car_pic{get(handles.list,'Value')});
disp(['--> 选择汽车原图： ', car_pic{get(handles.list,'Value')}]);

% --- Executes during object creation, after setting all properties.
function list_CreateFcn(hObject, eventdata, handles)
% hObject    handle to list (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: popupmenu controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor','white');
end


% --- Executes on button press in backgroup.
function backgroup_Callback(hObject, eventdata, handles)
% hObject    handle to backgroup (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
[fname, pname] = uigetfile(...
       {'*.jpg','jpg-files (*.jpg)'; ...
        '*.png','png-files (*.png)'; ...
        '*.*',  'All Files (*.*)'}, ...
        '选择一个图片文件', ...
        'MultiSelect', 'off');
    
if isequal(fname,0) || isequal(pname,0)
  return;
else
   backgroup_pic = fullfile(pname, fname);
   
   bg = imread(backgroup_pic);
   axes(handles.axesorigin); 
   imshow(bg);  
   
   set(handles.backgroup,'UserData',backgroup_pic);
   set(handles.capinon, 'String', ['背景图片： ', backgroup_pic]);
   disp(['--> 背景图片： ', backgroup_pic]);
end


% --- Executes on button press in carorigin.
function carorigin_Callback(hObject, eventdata, handles)
% hObject    handle to carorigin (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
[fname, pname] = uigetfile(...
       {'*.jpg','jpg-files (*.jpg)'; ...
        '*.png','png-files (*.png)'; ...
        '*.*',  'All Files (*.*)'}, ...
        '选择一个或多个图片文件', ...
        'MultiSelect', 'on');
    
if isequal(fname,0) || isequal(pname,0)
  return;
else
    if ischar(fname)
        fname = {fname};
    end
    car_pic = cell(1,length(fname));
    for k = 1:length(fname);
        car_pic{k} = fullfile(pname, fname{k});
    end
    
	set(handles.capinon, 'String', ['汽车原图目录： ', pname]);
	set(handles.list,'String', fname, 'Value', 1, 'UserData',car_pic{k});
	set(handles.carorigin,'UserData',car_pic);
  
	disp(['--> 汽车原图目录： ', pname]);
end

% --- Executes on button press in run.
function run_Callback(hObject, eventdata, handles)
% hObject    handle to run (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% S1: 调入图片文件
backgroup_pic = get(handles.backgroup,'UserData');  % 背景图片的地址
car_pic = get(handles.list,'UserData');             % 汽车图片的地址

if isempty(backgroup_pic)
    helpdlg('请单击[背景图片]按钮，导入背景图片','提示');
    return;
end

if isempty(car_pic)
    helpdlg('请单击[汽车原图]按钮，导入汽车原图','提示');
    return;
end

cla(handles.axescarpic);    % 清除图像
cla(handles.capinon);
cla(handles.axesgnomon); 
set(handles.axesgnomon,'XTick',[],'YTick',[]);
cla(handles.axeswave); 
set(handles.axeswave,'XTick',[],'YTick',[]);


bg = imread(backgroup_pic); % 调入背景图片
bc = imread(car_pic);       % 调入汽车图片

if size(bg,1) ~= size(bc,1) || size(bg,2) ~= size(bc,2)
        errordlg('汽车图片与背景图片大小不一致！','警告');
    return;
end


  

 

  
1
  
2
  
3
  
4
  
5
  
6
  
7
  
8
  
9
  
10
  
11
  
12
  
13
  
14
  
15
  
16
  
17
  
18
  
19
  
20
  
21
  
22
  
23
  
24
  
25
  
26
  
27
  
28
  
29
  
30
  
31
  
32
  
33
  
34
  
35
  
36
  
37
  
38
  
39
  
40
  
41
  
42
  
43
  
44
  
45
  
46
  
47
  
48
  
49
  
50
  
51
  
52
  
53
  
54
  
55
  
56
  
57
  
58
  
59
  
60
  
61
  
62
  
63
  
64
  
65
  
66
  
67
  
68
  
69
  
70
  
71
  
72
  
73
  
74
  
75
  
76
  
77
  
78
  
79
  
80
  
81
  
82
  
83
  
84
  
85
  
86
  
87
  
88
  
89
  
90
  
91
  
92
  
93
  
94
  
95
  
96
  
97
  
98
  
99
  
100
  
101
  
102
  
103
  
104
  
105
  
106
  
107
  
108
  
109
  
110
  
111
  
112
  
113
  
114
  
115
  
116
  
117
  
118
  
119
  
120
  
121
  
122
  
123
  
124
  
125
  
126
  
127
  
128
  
129
  
130
  
131
  
132
  
133
  
134
  
135
  
136
  
137
  
138
  
139
  
140
  
141
  
142
  
143
  
144
  
145
  
146
  
147
  
148
  
149
  
150
  
151
  
152
  
153
  
154
  
155
  
156
  
157
  
158
  
159
  
160
  
161
  
162
  
163
  
164
  
165
  
166
  
167
  
168
  
169
  
170
  
171
  
172
  
173
  
174
  
175
  
176
  
177
  
178
  
179
  
180
  
181
  
182
  
183
  
184
  
185
  
186
  
187
  
188
  
189
  
190
  
191
  
192
  
193
  
194
  
195
  
196
  
197
  
198
  
199
  
200
 

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/115518185