【图像检测】基于计算机视觉实现米粒个数检测含Matlab源码

1 简介

2 部分代码

function varargout = mygui(varargin)​​% Begin initialization code - DO NOT EDITgui_Singleton = 1;global im;gui_State = struct('gui_Name',       mfilename, ...                   'gui_Singleton',  gui_Singleton, ...                   'gui_OpeningFcn', @mygui_OpeningFcn, ...                   'gui_OutputFcn',  @mygui_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 mygui is made visible.function mygui_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 mygui (see VARARGIN)​% Choose default command line output for myguihandles.output = hObject;​% Update handles structureguidata(hObject, handles);​% UIWAIT makes mygui wait for user response (see UIRESUME)% uiwait(handles.figure1);​​% --- Outputs from this function are returned to the command line.function varargout = mygui_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 structurevarargout{1} = handles.output;​​% --- Executes on button press in open_pushbutton.function open_pushbutton_Callback(hObject, eventdata, handles)% hObject    handle to open_pushbutton (see GCBO)% eventdata  reserved - to be defined in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)global im;[filename,pathname]=...uigetfile({'*.*';'*.bmp';'*.tif';'*.png';'*.gif';'*.jpg'},'select picture');  %选择图片路径str = [pathname filename];  %合成路径+文件名im = imread(str);   %读取图片axes(handles.axes1);  %使用第一个axesimshow(im);  %显示图片title('原图像');​​​% --- Executes on button press in blpf_pushbutton.function blpf_pushbutton_Callback(hObject, eventdata, handles)% hObject    handle to blpf_pushbutton (see GCBO)% eventdata  reserved - to be defined in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)global im;button_state = get(hObject,'Value');if button_state == get(hObject,'Max')​        I0 = im;        % I0 = imread('beauty.jpg');          % subplot(2,2,1),imshow(I0);title('原图');        str={'半径D0大小：','阶数n：'};                             %输入相关参数：高斯模板大小、方差、二值化阈值        sData=InputDlg(str,'输入参数',1);                if ~isempty(sData)            d0=str2double(sData(1));%模板大小            n=str2double(sData(2));%次数        end                    I1 = imnoise(I0,'gaussian');         %对原图像加噪声%         subplot(2,2,2),imshow(I1);title('加入噪声后图像')         %将灰度图像的二维不连续Fourier 变换的零频率成分移到频谱的中心        s=fftshift(fft2(I1));        [M,N]=size(s);                      %分别返回s的行数到M中，列数到N中        n1=floor(M/2);                       %对M/2进行取整​​

3 仿真结果

4 参考文献

[1]洪华庆. 基于计算机视觉的米粒质量检测系统[D]. 浙江工商大学.

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