【细胞分割】基于matlab GUI原子力显微镜图像分析【含Matlab源码 1371期】

一、AFM简介

理论知识参考文献：原子力显微镜（AFM）图像的计算机辅助分析

二、部分源代码

function varargout = AFManalysis(varargin)
% AFMANALYSIS M-file for AFManalysis.fig
%      AFMANALYSIS, by itself, creates a new AFMANALYSIS or raises the existing
%      singleton*.
%
%      H = AFMANALYSIS returns the handle to a new AFMANALYSIS or the handle to
%      the existing singleton*.
%
%      AFMANALYSIS('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in AFMANALYSIS.M with the given input arguments.
%
%      AFMANALYSIS('Property','Value',...) creates a new AFMANALYSIS or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before AFManalysis_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to AFManalysis_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 AFManalysis% Last Modified by GUIDE v2.5 07-Dec-2010 22:56:55% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...'gui_Singleton',  gui_Singleton, ...'gui_OpeningFcn', @AFManalysis_OpeningFcn, ...'gui_OutputFcn',  @AFManalysis_OutputFcn, ...'gui_LayoutFcn',  [] , ...'gui_Callback',   []);
if nargin && ischar(varargin{1})gui_State.gui_Callback = str2func(varargin{1});
endif nargout[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
elsegui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT% --- Executes just before AFManalysis is made visible.
function AFManalysis_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 AFManalysis (see VARARGIN)% Choose default command line output for AFManalysis
handles.output = hObject;% Update handles structure
guidata(hObject, handles);% UIWAIT makes AFManalysis wait for user response (see UIRESUME)
% uiwait(handles.figure1);% --- Outputs from this function are returned to the command line.
function varargout = AFManalysis_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 pushbuttonBrowse.
function pushbuttonBrowse_Callback(hObject, eventdata, handles)
[FileName,PathName] = uigetfile('*.jpg','Select the image file');if PathName ~= 0    %if user not select cancel
addpath(PathName);  %add path to file search
imagearray = imread(FileName);
handles.imagesize = size(imagearray);
axes(handles.Image);
imshow(imagearray,'InitialMagnification','fit');
%handles.imagegray = rgb2gray(imagearray);
handles.imagearray = imagearray;
guidata(hObject, handles);end
% hObject    handle to pushbuttonBrowse (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)% --- Executes during object creation, after setting all properties.
function Image_CreateFcn(hObject, eventdata, handles)
handles.Image= hObject;
imshow('square.png');
guidata(hObject, handles);
% hObject    handle to Image (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 Image% --- Executes on slider movement.
function sliderimthreshhold_Callback(hObject, eventdata, handles)
s = handles.imagesize;
handles.slidervalth = get(handles.sliderth,'Value');
handles.imagebin = im2bw(handles.imagearray, 1-handles.slidervalth);
handles.imagebin = bwareaopen(handles.imagebin, round(s(1,1)*handles.slidervalfilter));bouparam = str2num(get(handles.boundrypara,'string'));
h = fspecial('gaussian',bouparam,bouparam);
handles.imagebin = imfilter(handles.imagebin,h);
handles.imageedge = edge(handles.imagebin);imagewithboundry = handles.imagearray;
for i = 1:1:s(1,1)for j = 1:1:s(1,2)if handles.imageedge(i,j) == 1imagewithboundry(i,j,:)= 0;endend
end
%imagewithboundry = imadd(handles.imagearray(:,:,1), handles.imageedge);
imshow(imagewithboundry,'InitialMagnification','fit');[L, num] = bwlabel(handles.imagebin);
area = bwarea(handles.imagebin)/num;
dia  = ((area*6)/pi)^(1/3); dianm = dia*(str2num(get(handles.imagesizenm,'string'))/s(1,1));num = num2str(num);
set(handles.npno,'string',num)areanm = (pi/6)*((dianm)^3);
areanm = num2str(areanm);
set(handles.nparea,'string',area)dianm = num2str(dianm);
set(handles.npdia,'string',dianm)guidata(hObject, handles);% hObject    handle to sliderimthreshhold (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,'Value') returns position of slider
%        get(hObject,'Min') and get(hObject,'Max') to determine range of slider% --- Executes during object creation, after setting all properties.
function sliderimthreshhold_CreateFcn(hObject, eventdata, handles)
handles.sliderth = hObject;
%handles.imagebin = im2bw(handles.image,0);
guidata(hObject, handles);
% hObject    handle to sliderimthreshhold (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called% Hint: slider controls usually have a light gray background.
if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))set(hObject,'BackgroundColor',[.9 .9 .9]);
end% --- Executes on slider movement.
function sliderremovesmallpatch_Callback(hObject, eventdata, handles)
s = handles.imagesize;
handles.slidervalth = get(handles.sliderth,'Value');
handles.slidervalfilter = get(handles.sliderremovesmallpatch,'Value');
%handles.imagebin = im2bw(handles.imagearray, 1-handles.slidervalth);
handles.imagebin2 = bwareaopen(handles.imagebin, round(s(1,1)*handles.slidervalfilter));
handles.imageedge = edge(handles.imagebin2);
imagewithboundry = handles.imagearray;
for i = 1:1:s(1,1)for j = 1:1:s(1,2)if handles.imageedge(i,j) == 1imagewithboundry(i,j,:)= 0;endend
endimshow(imagewithboundry,'InitialMagnification','fit');[L, num] = bwlabel(handles.imagebin2);
area = bwarea(handles.imagebin)/num;
dia  = ((area*6)/pi)^(1/3); dianm = dia*(str2num(get(handles.imagesizenm,'string'))/s(1,1));num = num2str(num);
set(handles.npno,'string',num)areanm = (pi/6)*((dianm)^3);
areanm = num2str(areanm);
set(handles.nparea,'string',area)dianm = num2str(dianm);
set(handles.npdia,'string',dianm)guidata(hObject, handles);% hObject    handle to sliderremovesmallpatch (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,'Value') returns position of slider
%        get(hObject,'Min') and get(hObject,'Max') to determine range of slider% --- Executes during object creation, after setting all properties.
function sliderremovesmallpatch_CreateFcn(hObject, eventdata, handles)
handles.sliderremovesmallpatch = hObject;
handles.slidervalfilter = 0;
guidata(hObject, handles);
% hObject    handle to sliderremovesmallpatch (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called% Hint: slider controls usually have a light gray background.
if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))set(hObject,'BackgroundColor',[.9 .9 .9]);
end

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.
[5]赵勇,方宗德,庞辉,王侃伟.基于量子粒子群优化算法的最小交叉熵多阈值图像分割[J].计算机应用研究. 2008,(04)
[6]王轶文,谢建明,张惠,孙啸,陆祖宏.原子力显微镜（AFM）图像的计算机辅助分析[J].山东生物医学工程. 2002,(03)

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