一.最基本两个形态学运算----膨胀与腐蚀
啥叫形态学操作
形态学操作其实就是改变物体的形状,比如腐蚀就是”变瘦”,膨胀就是”变胖”,看下图就明白了:
(http://ex2tron.wang/opencv-python-erode-and-dilate/)
经验之谈:形态学操作一般作用于二值化图,来连接相邻的元素或分离成独立的元素。腐蚀和膨胀是针对图片中的白色(即前景)部分!
开/闭运算
先腐蚀后膨胀叫开运算(因为先腐蚀会分开物体,这样容易记住),其作用是:分离物体,消除小区域。
经验之谈:很多人对开闭运算的作用不是很清楚,但看上图↑,不用怕:如果我们的目标物体外面有很多无关的小区域,就用开运算去除掉;如果物体内部有很多小黑洞,就用闭运算填充掉。
为什么有了膨胀腐蚀还要开运算闭运算呢?其实开闭运算最重要的一点就是,可以保持物体原有大小。然后一个是消除物体内部孔洞的另一个是增强物体之间连接点的。
其他形态学操作
- 形态学梯度:膨胀图减去腐蚀图,
dilation - erosion
,这样会得到物体的轮廓:
膨胀与腐蚀能够实现以下作用:
1.消除噪声
2.分割出独立的图像元素,在图像中连接相邻的元素
3.寻找图像中的明显的极大值区域或者极小值区域
4.求出图像的梯度
需要注意之处: 腐蚀和膨胀都是对图像的白色部分(高亮部分)而言。膨胀是图像中的高亮部分进行膨胀,类似于领域扩张,效果图拥有比原图更大的高亮区域;腐蚀是原图的高亮部分被腐蚀,类似于领域被蚕食,效果图拥有比原图更小的高亮区域。
从数学的角度来说,膨胀和腐蚀操作就是将图像与核进行卷积,核可以是任意形状和大小的。
膨胀到底是怎么实现的呢?求局部最大值。
原图与核进行卷积,将最大值赋予指定像素,从而使亮者更亮,效果就是亮的区域膨胀了。
再讲腐蚀(Erosion):
操作与膨胀相反,求局部最小值。
可以理解为,移动结构B(核),如果结构B与结构A的交集完全属于结构A的区域内,则保存该位置点,所有满足条件的点构成结构A被结构B腐蚀的结果。
A被腐蚀后的结果貌似不对,好像应该是这样的:
se_diamond =strel('diamond',4)创建一个菱形的结构元素,4是从结构化元素原点到其点的距离,必须为非负整数。
function varargout = face_collection(varargin)
% FACE_COLLECTION MATLAB code for face_collection.fig
% FACE_COLLECTION, by itself, creates a new FACE_COLLECTION or raises the existing
% singleton*.
%
% H = FACE_COLLECTION returns the handle to a new FACE_COLLECTION or the handle to
% the existing singleton*.
%
% FACE_COLLECTION('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in FACE_COLLECTION.M with the given input arguments.
%
% FACE_COLLECTION('Property','Value',...) creates a new FACE_COLLECTION or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before face_collection_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to face_collection_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 face_collection
% Last Modified by GUIDE v2.5 13-A-2021 12:23:11
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @face_collection_OpeningFcn, ...
'gui_OutputFcn', @face_collection_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 face_collection is made visible.
function face_collection_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 face_collection (see VARARGIN)
% Choose default command line output for face_collection
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes face_collection wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = face_collection_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;
function edit2_Callback(hObject, eventdata, handles)
% hObject handle to edit2 (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 edit2 as text
% str2double(get(hObject,'String')) returns contents of edit2 as a double
% --- Executes during object creation, after setting all properties.
function edit2_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit2 (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 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 I
[x,y,c]=ginput(2);
if c==1
BB=imcrop(I,[min(x(1),x(2)),min(y(1),y(2)),abs(x(2)-x(1)),abs(y(2)-y(1))]);
BB=imresize(BB,[252 202]);
axes(handles.axes2); % 处理后的图像放在axes2中
imshow(BB)
end
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 pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% 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)
[filename, pathname] = uigetfile( ...
{'*.jpg;*.png;*.jpeg', 'Image Files (*.bmp;*.jpg;*.png;*.jpeg)'; ...
'*.*', 'All Files (*.*)'}, ...
'Pick an image');
if isequal(filename,0) || isequal(pathname,0),
return;
end
fpath=[pathname filename]; %将文件名和目录名组合成一个完整的路径
img=imread(fpath);
axes(handles.axes1)
imshow(img)
title('教室照片')