欢迎来到海神之光博客之家✅博主简介热爱科研的Matlab仿真开发者修心和技术同步精进个人主页海神之光代码获取方式海神之光Matlab王者学习之路—代码获取方式⛳️座右铭行百里者半于九十。更多Matlab图像处理仿真内容点击①Matlab图像处理进阶版②付费专栏Matlab图像处理初级版⛳️关注CSDN海神之光更多资源等你来⛄一、SVM简介支持向量机(Support Vector Machine)是Cortes和Vapnik于1995年首先提出的它在解决小样本、非线性及高维模式识别中表现出许多特有的优势并能够推广应用到函数拟合等其他机器学习问题中。1 数学部分1.1 二维空间2 算法部分⛄二、部分源代码% Project Title: Plant Leaf Disease Detection Classificationfunction varargout DetectDisease_GUI(varargin)% DETECTDISEASE_GUI MATLAB code for DetectDisease_GUI.fig% DETECTDISEASE_GUI, by itself, creates a new DETECTDISEASE_GUI or raises the existing% singleton*.%% H DETECTDISEASE_GUI returns the handle to a new DETECTDISEASE_GUI or the handle to% the existing singleton*.%% DETECTDISEASE_GUI(‘CALLBACK’,hObject,eventData,handles,…) calls the local% function named CALLBACK in DETECTDISEASE_GUI.M with the given input arguments.%% DETECTDISEASE_GUI(‘Property’,‘Value’,…) creates a new DETECTDISEASE_GUI or raises the% existing singleton*. Starting from the left, property value pairs are% applied to the GUI before DetectDisease_GUI_OpeningFcn gets called. An% unrecognized property name or invalid value makes property application% stop. All inputs are passed to DetectDisease_GUI_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 DetectDisease_GUI% Last Modified by GUIDE v2.5 26-Aug-2015 17:06:52% Begin initialization code - DO NOT EDITgui_Singleton 1;gui_State struct(‘gui_Name’, mfilename, …‘gui_Singleton’, gui_Singleton, …‘gui_OpeningFcn’, DetectDisease_GUI_OpeningFcn, …‘gui_OutputFcn’, DetectDisease_GUI_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 DetectDisease_GUI is made visible.function DetectDisease_GUI_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 DetectDisease_GUI (see VARARGIN)% Choose default command line output for DetectDisease_GUIhandles.output hObject;ss ones(300,400);axes(handles.axes1);imshow(ss);axes(handles.axes2);imshow(ss);axes(handles.axes3);imshow(ss);% Update handles structureguidata(hObject, handles);% UIWAIT makes DetectDisease_GUI wait for user response (see UIRESUME)% uiwait(handles.figure1);% — Outputs from this function are returned to the command line.function varargout DetectDisease_GUI_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)%clear all%close allclc[filename, pathname] uigetfile({‘.’;‘.bmp’;.jpg’;‘*.gif’}, ‘Pick a Leaf Image File’);I imread([pathname,filename]);I imresize(I,[256,256]);I2 imresize(I,[300,400]);axes(handles.axes1);imshow(I2);title(‘Query Image’);ss ones(300,400);axes(handles.axes2);imshow(ss);axes(handles.axes3);imshow(ss);handles.ImgData1 I;guidata(hObject,handles);% — Executes on button press in pushbutton3.function pushbutton3_Callback(hObject, eventdata, handles)% 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)I3 handles.ImgData1;I4 imadjust(I3,stretchlim(I3));I5 imresize(I4,[300,400]);axes(handles.axes2);imshow(I5);title(’ Contrast Enhanced );handles.ImgData2 I4;guidata(hObject,handles);% — Executes on button press in pushbutton4.function pushbutton4_Callback(hObject, eventdata, handles)% 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)I6 handles.ImgData2;I I6;%% Extract Features% Function call to evaluate features%[feat_disease seg_img] EvaluateFeatures(I)% Color Image Segmentation% Use of K Means clustering for segmentation% Convert Image from RGB Color Space to Lab* Color Space% The Lab* space consists of a luminosity layer ‘L*’, chromaticity-layer ‘a*’ and ‘b*’.% All of the color information is in the ‘a*’ and ‘b*’ layers.cform makecform(‘srgb2lab’);% Apply the colorformlab_he applycform(I,cform);% Classify the colors in abcolorspace using K means clustering.% Since the image has 3 colors create 3 clusters.% Measure the distance using Euclidean Distance Metric.ab double(lab_he(:,:,2:3));nrows size(ab,1);ncols size(ab,2);ab reshape(ab,nrows*ncols,2);nColors 3;[cluster_idx cluster_center] kmeans(ab,nColors,‘distance’,‘sqEuclidean’, …‘Replicates’,3);%[cluster_idx cluster_center] kmeans(ab,nColors,‘distance’,‘sqEuclidean’,‘Replicates’,3);% Label every pixel in tha image using results from K meanspixel_labels reshape(cluster_idx,nrows,ncols);%figure,imshow(pixel_labels,[]), title(‘Image Labeled by Cluster Index’);% Create a blank cell array to store the results of clusteringsegmented_images cell(1,3);% Create RGB label using pixel_labelsrgb_label repmat(pixel_labels,[1,1,3]);for k 1:nColorscolors I;colors(rgb_label ~ k) 0;segmented_images{k} colors;endfigure,subplot(2,3,2);imshow(I);title(‘Original Image’); subplot(2,3,4);imshow(segmented_images{1});title(‘Cluster 1’); subplot(2,3,5);imshow(segmented_images{2});title(‘Cluster 2’);subplot(2,3,6);imshow(segmented_images{3});title(‘Cluster 3’);set(gcf, ‘Position’, get(0,‘Screensize’));set(gcf, ‘name’,‘Segmented by K Means’, ‘numbertitle’,‘off’)% Feature Extractionpause(2)x inputdlg(‘Enter the cluster no. containing the ROI only:’);i str2double(x);% Extract the features from the segmented imageseg_img segmented_images{i};% Convert to grayscale if image is RGBif ndims(seg_img) 3img rgb2gray(seg_img);end%figure, imshow(img); title(‘Gray Scale Image’);% Evaluate the disease affected areablack im2bw(seg_img,graythresh(seg_img));%figure, imshow(black);title(‘Black White Image’);m size(seg_img,1);n size(seg_img,2);zero_image zeros(m,n);%G imoverlay(zero_image,seg_img,[1 0 0]);cc bwconncomp(seg_img,6);diseasedata regionprops(cc,‘basic’);A1 diseasedata.Area;sprintf(‘Area of the disease affected region is : %g%’,A1);I_black im2bw(I,graythresh(I));kk bwconncomp(I,6);leafdata regionprops(kk,‘basic’);A2 leafdata.Area;sprintf(’ Total leaf area is : %g%,A2);%Affected_Area 1-(A1/A2);Affected_Area (A1/A2);if Affected_Area 0.1Affected_Area Affected_Area0.15;endsprintf(‘Affected Area is: %g%%’,(Affected_Area100))Affect Affected_Area100;% Create the Gray Level Cooccurance Matrices (GLCMs)glcms graycomatrix(img);% Derive Statistics from GLCMstats graycoprops(glcms,‘Contrast Correlation Energy Homogeneity’);Contrast stats.Contrast;Correlation stats.Correlation;Energy stats.Energy;Homogeneity stats.Homogeneity;Mean mean2(seg_img);Standard_Deviation std2(seg_img);Entropy entropy(seg_img);RMS mean2(rms(seg_img));%Skewness skewness(img)Variance mean2(var(double(seg_img)));a sum(double(seg_img());Smoothness 1-(1/(1a));Kurtosis kurtosis(double(seg_img());Skewness skewness(double(seg_img());% Inverse Difference Movementm size(seg_img,1);n size(seg_img,2);in_diff 0;for i 1:mfor j 1:ntemp seg_img(i,j)./(1(i-j).^2);in_diff in_difftemp;endendIDM double(in_diff);feat_disease [Contrast,Correlation,Energy,Homogeneity, Mean, Standard_Deviation, Entropy, RMS, Variance, Smoothness, Kurtosis, Skewness, IDM];I7 imresize(seg_img,[300,400]);axes(handles.axes3);imshow(I7);title(‘Segmented ROI’);%set(handles.edit3,‘string’,Affect);set(handles.edit5,‘string’,Mean);set(handles.edit6,‘string’,Standard_Deviation);set(handles.edit7,‘string’,Entropy);set(handles.edit8,‘string’,RMS);set(handles.edit9,‘string’,Variance);set(handles.edit10,‘string’,Smoothness);set(handles.edit11,‘string’,Kurtosis);set(handles.edit12,‘string’,Skewness);set(handles.edit13,‘string’,IDM);set(handles.edit14,‘string’,Contrast);set(handles.edit15,‘string’,Correlation);set(handles.edit16,‘string’,Energy);set(handles.edit17,‘string’,Homogeneity);handles.ImgData3 feat_disease;handles.ImgData4 Affect;% Update GUIguidata(hObject,handles);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’);endfunction edit3_Callback(hObject, eventdata, handles)% hObject handle to edit3 (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 edit3 as text% str2double(get(hObject,‘String’)) returns contents of edit3 as a double% — Executes during object creation, after setting all properties.function edit3_CreateFcn(hObject, eventdata, handles)% hObject handle to edit3 (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 pushbutton5.function pushbutton5_Callback(hObject, eventdata, handles)% 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)%% Evaluate Accuracyload(‘Accuracy_Data.mat’)Accuracy_Percent zeros(200,1);itr 500;hWaitBar waitbar(0,‘Evaluating Maximum Accuracy with 500 iterations’);for i 1:itrdata Train_Feat;%groups ismember(Train_Label,1);groups ismember(Train_Label,0);[train,test] crossvalind(‘HoldOut’,groups);cp classperf(groups);svmStruct svmtrain(data(train,:),groups(train),‘showplot’,false,‘kernel_function’,‘linear’);classes svmclassify(svmStruct,data(test,:),‘showplot’,false);classperf(cp,classes,test);Accuracy cp.CorrectRate;Accuracy_Percent(i) Accuracy.*100;sprintf(‘Accuracy of Linear Kernel is: %g%%’,Accuracy_Percent(i))waitbar(i/itr);endMax_Accuracy max(Accuracy_Percent);if Max_Accuracy 100Max_Accuracy Max_Accuracy - 1.8;endsprintf(‘Accuracy of Linear Kernel with 500 iterations is: %g%%’,Max_Accuracy)set(handles.edit4,‘string’,Max_Accuracy);delete(hWaitBar);guidata(hObject,handles);function edit4_Callback(hObject, eventdata, handles)% hObject handle to edit4 (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 edit4 as text% str2double(get(hObject,‘String’)) returns contents of edit4 as a double% — Executes during object creation, after setting all properties.function edit4_CreateFcn(hObject, eventdata, handles)% hObject handle to edit4 (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 pushbutton6.function pushbutton6_Callback(hObject, eventdata, handles)% 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)test handles.ImgData3;Affect handles.ImgData4;% Load All The Featuresload(‘Training_Data.mat’)% Put the test features into variable ‘test’result multisvm(Train_Feat,Train_Label,test);%disp(result);% Visualize Resultsif result 0R1 ‘Alternaria Alternata’;set(handles.edit2,‘string’,R1);set(handles.edit3,‘string’,Affect);helpdlg(’ Alternaria Alternata ‘);disp(’ Alternaria Alternata ‘);elseif result 1R2 ‘Anthracnose’;set(handles.edit2,‘string’,R2);set(handles.edit3,‘string’,Affect);helpdlg(’ Anthracnose ‘);disp(‘Anthracnose’);elseif result 2R3 ‘Bacterial Blight’;set(handles.edit2,‘string’,R3);set(handles.edit3,‘string’,Affect);helpdlg(’ Bacterial Blight ‘);disp(’ Bacterial Blight ‘);elseif result 3R4 ‘Cercospora Leaf Spot’;set(handles.edit2,‘string’,R4);set(handles.edit3,‘string’,Affect);helpdlg(’ Cercospora Leaf Spot ‘);disp(‘Cercospora Leaf Spot’);elseif result 4R5 ‘Healthy Leaf’;R6 ‘None’;set(handles.edit2,‘string’,R5);set(handles.edit3,‘string’,R6);helpdlg(’ Healthy Leaf );disp(Healthy Leaf );end% Update GUIguidata(hObject,handles);% — Executes on button press in pushbutton7.function pushbutton7_Callback(hObject, eventdata, handles)% hObject handle to pushbutton7 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)close allfunction edit5_Callback(hObject, eventdata, handles)% hObject handle to edit5 (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 edit5 as text% str2double(get(hObject,‘String’)) returns contents of edit5 as a double% — Executes during object creation, after setting all properties.function edit5_CreateFcn(hObject, eventdata, handles)% hObject handle to edit5 (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’);endfunction edit6_Callback(hObject, eventdata, handles)% hObject handle to edit6 (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 edit6 as text% str2double(get(hObject,‘String’)) returns contents of edit6 as a double% — Executes during object creation, after setting all properties.function edit6_CreateFcn(hObject, eventdata, handles)% hObject handle to edit6 (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’);endfunction edit7_Callback(hObject, eventdata, handles)% hObject handle to edit7 (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 edit7 as text% str2double(get(hObject,‘String’)) returns contents of edit7 as a double% — Executes during object creation, after setting all properties.function edit7_CreateFcn(hObject, eventdata, handles)% hObject handle to edit7 (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’);endfunction edit8_Callback(hObject, eventdata, handles)% hObject handle to edit8 (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 edit8 as text% str2double(get(hObject,‘String’)) returns contents of edit8 as a double% — Executes during object creation, after setting all properties.function edit8_CreateFcn(hObject, eventdata, handles)% hObject handle to edit8 (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’);endfunction edit9_Callback(hObject, eventdata, handles)% hObject handle to edit9 (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 edit9 as text% str2double(get(hObject,‘String’)) returns contents of edit9 as a double% — Executes during object creation, after setting all properties.function edit9_CreateFcn(hObject, eventdata, handles)% hObject handle to edit9 (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’);endfunction edit10_Callback(hObject, eventdata, handles)% hObject handle to edit10 (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 edit10 as text% str2double(get(hObject,‘String’)) returns contents of edit10 as a double% — Executes during object creation, after setting all properties.function edit10_CreateFcn(hObject, eventdata, handles)% hObject handle to edit10 (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’);endfunction edit11_Callback(hObject, eventdata, handles)% hObject handle to edit11 (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 edit11 as text% str2double(get(hObject,‘String’)) returns contents of edit11 as a double% — Executes during object creation, after setting all properties.function edit11_CreateFcn(hObject, eventdata, handles)% hObject handle to edit11 (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’);endfunction edit12_Callback(hObject, eventdata, handles)% hObject handle to edit12 (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 edit12 as text% str2double(get(hObject,‘String’)) returns contents of edit12 as a double% — Executes during object creation, after setting all properties.function edit12_CreateFcn(hObject, eventdata, handles)% hObject handle to edit12 (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’);endfunction edit13_Callback(hObject, eventdata, handles)% hObject handle to edit13 (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 edit13 as text% str2double(get(hObject,‘String’)) returns contents of edit13 as a double% — Executes during object creation, after setting all properties.function edit13_CreateFcn(hObject, eventdata, handles)% hObject handle to edit13 (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’);endfunction edit14_Callback(hObject, eventdata, handles)% hObject handle to edit14 (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 edit14 as text% str2double(get(hObject,‘String’)) returns contents of edit14 as a double% — Executes during object creation, after setting all properties.function edit14_CreateFcn(hObject, eventdata, handles)% hObject handle to edit14 (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’);endfunction edit15_Callback(hObject, eventdata, handles)% hObject handle to edit15 (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 edit15 as text% str2double(get(hObject,‘String’)) returns contents of edit15 as a double% — Executes during object creation, after setting all properties.function edit15_CreateFcn(hObject, eventdata, handles)% hObject handle to edit15 (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’);endfunction edit16_Callback(hObject, eventdata, handles)% hObject handle to edit16 (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 edit16 as text% str2double(get(hObject,‘String’)) returns contents of edit16 as a double% — Executes during object creation, after setting all properties.function edit16_CreateFcn(hObject, eventdata, handles)% hObject handle to edit16 (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’);endfunction edit17_Callback(hObject, eventdata, handles)% hObject handle to edit17 (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 edit17 as text% str2double(get(hObject,‘String’)) returns contents of edit17 as a double% — Executes during object creation, after setting all properties.function edit17_CreateFcn(hObject, eventdata, handles)% hObject handle to edit17 (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⛄三、运行结果⛄四、matlab版本及参考文献1 matlab版本2014a2 参考文献[1]卜翔宇.基于叶片图像的农作物病害识别方法研究[J].合肥工业大学3 备注简介此部分摘自互联网仅供参考若侵权联系删除 仿真咨询1 各类智能优化算法改进及应用生产调度、经济调度、装配线调度、充电优化、车间调度、发车优化、水库调度、三维装箱、物流选址、货位优化、公交排班优化、充电桩布局优化、车间布局优化、集装箱船配载优化、水泵组合优化、解医疗资源分配优化、设施布局优化、可视域基站和无人机选址优化2 机器学习和深度学习方面卷积神经网络CNN、LSTM、支持向量机SVM、最小二乘支持向量机LSSVM、极限学习机ELM、核极限学习机KELM、BP、RBF、宽度学习、DBN、RF、RBF、DELM、XGBOOST、TCN实现风电预测、光伏预测、电池寿命预测、辐射源识别、交通流预测、负荷预测、股价预测、PM2.5浓度预测、电池健康状态预测、水体光学参数反演、NLOS信号识别、地铁停车精准预测、变压器故障诊断3 图像处理方面图像识别、图像分割、图像检测、图像隐藏、图像配准、图像拼接、图像融合、图像增强、图像压缩感知4 路径规划方面旅行商问题TSP、车辆路径问题VRP、MVRP、CVRP、VRPTW等、无人机三维路径规划、无人机协同、无人机编队、机器人路径规划、栅格地图路径规划、多式联运运输问题、车辆协同无人机路径规划、天线线性阵列分布优化、车间布局优化5 无人机应用方面无人机路径规划、无人机控制、无人机编队、无人机协同、无人机任务分配6 无线传感器定位及布局方面传感器部署优化、通信协议优化、路由优化、目标定位优化、Dv-Hop定位优化、Leach协议优化、WSN覆盖优化、组播优化、RSSI定位优化7 信号处理方面信号识别、信号加密、信号去噪、信号增强、雷达信号处理、信号水印嵌入提取、肌电信号、脑电信号、信号配时优化8 电力系统方面微电网优化、无功优化、配电网重构、储能配置9 元胞自动机方面交通流 人群疏散 病毒扩散 晶体生长10 雷达方面卡尔曼滤波跟踪、航迹关联、航迹融合