Morphology usually refers to the branch of biology that deals with the form and structure of plants and animals. The morphology in the image is mathematical morphology. Simply speaking, it is a series of image processing operations based on shape.
Basic operations include binary corrosion and expansion, binary open and close operation, skeleton extraction, ultimate corrosion, hit miss transformation, morphological gradient, top-hat transformation, particle analysis, watershed transformation, gray value corrosion and expansion, gray value open and close operation, gray value morphological gradient.
Expansion and corrosion
Function:
- Noise elimination;
- Separate image elements and link adjacent elements in the image.
- Find the obvious maximum and minimum regions in the image;
- Find the gradient of the image;
inflation
The operation of finding a local maximum. The process of merging all background points in contact with an object into the object so that the boundary expands outwards. It can be used to fill holes in objects.
The core can be any shape, with a individually defined reference point, anchor point.
Expansion is to calculate the maximum value of pixels in the area covered by the core, and assign this maximum value to the pixel specified by the reference point, so that the highlight area of the image gradually increases.
Function: void dilate
corrosion
The process of eliminating boundary points and causing boundaries to shrink inward. Can be used to eliminate small and meaningless objects.
The operation of finding a local minimum, as opposed to an expansion.
Function: void erode
Open operation, close operation, morphological gradient, top hat, black hat
The advanced forms of morphology are based on the two basic operations of corrosion and expansion.
Open operation
Corrosion first and then expansion, it has the function of eliminating the small area with high brightness, separating the object at the fine point, and smoothing the boundary of the larger object without obviously changing its area.
Close your operation
Expanding first and then corroding, it has the function of filling small black areas in white objects, connecting adjacent objects, and also smoothing the boundary without significantly changing its area.
Morphological gradient
The difference between the dilatation diagram and the corrosion diagram, the operation of the binary image can make the edge of the lump stand out.
hat
The difference between the original image and the result of the open operation. Since the open operation magnifies the crack or local low-brightness area, the effect image obtained after the open operation is subtracted from the original image and highlights the brighter area than the area around the contour of the original image.
Used to separate patches that are brighter than their neighbors.
Black hat
The difference between the resulting graph of a closed operation and the source image.
The black Hat rendering highlights areas darker than those around the original contour. So black caps are used to separate patches that are darker than their neighbors
function varargout = code(varargin)
% CODE M-file for code.fig
% CODE, by itself, creates a new CODE or raises the existing
% singleton*.
%
% H = CODE returns the handle to a new CODE or the handle to
% the existing singleton*.
%
% CODE('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in CODE.M with the given input arguments.
%
% CODE('Property','Value',...) creates a new CODE or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before code_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to code_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 code
% Last Modified by GUIDE v2.5 07-May-2020 17:46:00
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @code_OpeningFcn, ...
'gui_OutputFcn', @code_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 code is made visible.
function code_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 code (see VARARGIN)
% Choose default command line output for code
handles.output = hObject;
clc;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes code wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = code_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 str
global filenamestr
global I2;
[filename,pathname]=uigetfile({'*.bmp';'*.jpg';'*.gif'},'选择图片');
if isequal(filename,0)
disp('Users Selected Canceled');
else
str=[pathname,filename];
filenamestr=filename;
im = imread(str);
I2 = imread(str);
axes(handles.axes1);%axes1是坐标轴的标示
imshow(im);
end
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles) %识别
% 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)
global str
global template
global mask
global filenamestr
testimage=str;
hmthresh = 0.3;
write = 0;
nname=filenamestr(1:4);
samep=1; %判断是不是要与当前同一个人对比
if samep
InputPath=['.\',nname,'\']; %同一个人
else
InputPath='.\0024\'; %不同人
end
if exist(InputPath)
% [result,time] = final1(str)
templatetest=template;
masktest=mask;
tic
shibie();
axes(handles.axes12);
pic=[InputPath,result];
imshow(pic);title('匹配到虹膜');
else
result='o~o, No match found!';
end
set(handles.text2,'String',result);
t=toc;
disp(['识别用时：',num2str(t)])
% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles) %图片运算
% hObject handle to pushbutton3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global str
global I2;
%I2=imread('image004.jpg');
% axes(handles.axes2);
% imshow(I2);
eI=edge(I2,'canny', 0.2);
axes(handles.axes3);
imshow(eI);title('canny边缘提取');
% 利用hough变换找到图像中的一个圆
[y0detect,x0detect,Accumulator] = houghcircle(eI,45,4);
axes(handles.axes4);
imshow(I2);
hold on;
for i=1:length(y0detect)
plot(x0detect,y0detect,'.r');hold on;
end
% figure;imshow(I2)
axes(handles.axes13);
imshow(Accumulator,[]);
[r,c]=size(I2);
M = circle( c,r,x0detect,y0detect,45);
axes(handles.axes5);
imshow(M,[]);
outI=M.*double(I2);
axes(handles.axes6);
imshow(outI,[]);
outI2=(1-M).*double(I2);
axes(handles.axes7);
imshow(outI2,[]);
function edit1_Callback(hObject, eventdata, handles)
% hObject handle to edit1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit1 as text
% str2double(get(hObject,'String')) returns contents of edit1 as a double
% --- Executes during object creation, after setting all properties.
function edit1_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit 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 pushbutton4.
function pushbutton4_Callback(hObject, eventdata, handles) %定位
% hObject handle to pushbutton4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global str
global DIAGPATH % path for writing diagnostic images
%DIAGPATH = 'C:\Documents and Settings\Administrator\桌面\iris';
% DIAGPATH = 'D:\虹膜识别\算法\iris-张冲\template';
DIAGPATH = '.\0023\template';
eyeimage_filename=str;
write=0;
dingwei();
% --- Executes on button press in pushbutton5.
function pushbutton5_Callback(hObject, eventdata, handles) %归一化
% hObject handle to pushbutton5 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global str
global polar_array
global noise_array
eyeimage_filename=str;
%参数设置
%normalisation parameters
radial_res = 100;
angular_res = 240;
write=0;
% with these settings a 9600 bit iris template is created
guiyihua();
% --- Executes on button press in pushbutton6.
function pushbutton6_Callback(hObject, eventdata, handles)%特征提取
% hObject handle to pushbutton6 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%feature encoding parameters
global str
global polar_array
global noise_array
global template
global mask
eyeimage_filename=str;
nscales=1;
minWaveLength=18;
mult=1; % not applicable if using nscales = 1
sigmaOnf=0.5;
tezhengtiqu()
% --- Executes during object creation, after setting all properties.
function axes10_CreateFcn(hObject, eventdata, handles) %归一化
% hObject handle to axes10 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: place code in OpeningFcn to populate axes10
% --- Executes on button press in pushbutton8.
% hObject handle to pushbutton8 (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 pushbutton9.
function pushbutton9_Callback(hObject, eventdata, handles) %退出
% hObject handle to pushbutton9 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
clc;
close all;
% --- Executes during object creation, after setting all properties.
function axes4_CreateFcn(hObject, eventdata, handles)
% hObject handle to axes4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: place code in OpeningFcn to populate axes4
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