Hello my project showing Following errors please somebody help me with that

function varargout = retinmain(varargin)
% RETINMAIN M-file for retinmain.fig
%      RETINMAIN, by itself, creates a new RETINMAIN or raises the existing
%      singleton*.
%
%      H = RETINMAIN returns the handle to a new RETINMAIN or the handle to
%      the existing singleton*.
%
%      RETINMAIN('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in RETINMAIN.M with the given input arguments.
%
%      RETINMAIN('Property','Value',...) creates a new RETINMAIN or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before retinmain_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to retinmain_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 retinmain

% Last Modified by GUIDE v2.5 24-Apr-2013 13:16:19

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @retinmain_OpeningFcn, ...
                   'gui_OutputFcn',  @retinmain_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 retinmain is made visible.
function retinmain_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 retinmain (see VARARGIN)

% Choose default command line output for retinmain
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes retinmain wait for user response (see UIRESUME)
% uiwait(handles.figure1);


% --- Outputs from this function are returned to the command line.
function varargout = retinmain_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 filename
global pathname
global name
global image
[filename pathname]=uigetfile('*.jpg','Select An Image');
% [pathstr, name, ext, versn] = fileparts(filename);

name = str2num(filename(1:end-4));

image = imread([pathname filename]);

axes(handles.axes1);

imshow(image);
title('Original Image1','fontsize',14,...
    'fontname','monotype corsiva',...
    'color','red');

axis equal;axis off;


% --- 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)
global image gimage
rimage=image(:,:,1);
gimage=image(:,:,2);
bimage=image(:,:,3);
gray=rgb2gray(image)
figure,imshow(rimage);title('red channel');
figure,imshow(bimage);title('Blue channel');
axes(handles.axes2)
imshow(gimage);title('green channel','fontsize',14,'fontname','monotype corsiva','color','red');
axes(handles.axes3)
imshow(gray);title('Gray Image','fontsize',14,'fontname','monotype corsiva','color','red');
axis off;


% --- 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)
global image gimage
[m n c]=size(image);
if c==3
gimage=rgb2gray(image);
else 
    gimage=image;
end
x=gimage;
GLCM2 = graycomatrix(x,'Offset',[2 0;0 2]);
stats = GLCM_Features1(GLCM2,0);
v1=stats.autoc(1);
v2=stats.contr(1);
v3=stats.corrm(1);
v4=stats.corrp(1);
v5=stats.cprom(1);
v6=stats.cshad(1);
v7=stats. dissi(1);
v8=stats.energ(1);
v9=stats.entro(1);
v10=stats. homom(1);
v11=stats.homop(1);
v12=stats.maxpr(1);
testfea(1,1:12)=[v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12]; 
save testfea testfea
set(handles.uitable1,'Data',testfea);


% --- 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)

global class gimage
load Trainfea_new
load target
load testfea
% input=trainfea';
% numHiddenNeurons = 20;  % Adjust as desired
% net = cascade(input,target,numHiddenNeurons);
% net.divideParam.trainRatio = 80/100;  % Adjust as desired
% net.divideParam.valRatio = 10/100;  % Adjust as desired
% net.divideParam.testRatio = 10/100;  % Adjust as desired
% % Train and Apply Network
% [network,tr] = train(net,input,target);
% load network
% prediction = sim(network,testfea');
% class=round(prediction);
% if class==0
%     msgbox('Hemorrhages');
% end
% if class==1
%     msgbox('Microneursym');
% end

    train = gimage;
    
    addpath('CNN\')
    
    addpath('CNN\util\')
    
    train = imresize(train,[256 256]);
    
    label = 1:600;
    
    train_x = double(reshape(train(:,1:256),16,16,256))/255;
    
    test_x = double(reshape(train(:,1:100),16,16,100))/255;
    
    train_y = double(label(1:600));
    
    test_y = double(label(1:100));
    
    rand('state',0)
    
    cnn.layers = {
        struct('type', 'i') %input layer
        struct('type', 'c', 'outputmaps', 6, 'kernelsize', 5) %convolution layer
        struct('type', 's', 'scale', 2) %sub sampling layer
        struct('type', 'c', 'outputmaps', 12, 'kernelsize', 5) %convolution layer
        struct('type', 's', 'scale', 2) %subsampling layer
        };
    
    opts.alpha = 1;
    
    opts.batchsize = 50;
    
    opts.numepochs = 1;
    
    cnn = cnnsetup(cnn, train_x, train_y);
    
    cnn = cnntrain(cnn, train_x, train_y, opts);
    
    [er, bad] = cnntest(cnn, test_x, test_y);
    
    Features_R = [testfea cnn.ffW cnn.rL];


    
    Trainfeature = Trainfea_new;
    testfea = Features_R;
    
    % target = target;
    
    [m1,n1] = size(Trainfeature);
    [m2,n2] = size(testfea);
    ZMat = zeros(m1,n1);
    
    for i = 1:m1
        for j = 1:m2
            Temp = testfea(j,:);
            TTemp = Trainfeature(i,:);
        end
    end
    
    for i = 1:m1
        for j = 1:m2
            Temp = testfea(j,:);
            TTemp = Trainfeature(i,:);
            L = length(Temp);
            if (Temp - TTemp) == 0
                ZMat(i,:) = 1;
            end
        end
    end
    
    for z = 1:size(ZMat,1)
        if ZMat(z) == 1
            Tempclass(z) = z;
            Tempclass1 = Tempclass;
        end
    end
    
    aa = find(Tempclass1 ~= 0);
    
    for SM = 1: length(aa)
        result(SM) = target(aa(SM));
    end
    
    
    if result==0
        
        msgbox('Hemorrhages');
        
    end
    
    if result==1
        
        msgbox('Microneursym');
        
    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)
global class image name 
global maskErode
fim=mat2gray(image);
level=graythresh(fim);
bwfim=im2bw(fim,0.1);
[bwfim0,level0]=adaptivethresh(fim,0);
[bwfim1,level1]=adaptivethresh(fim,1);
if class==0
    gray=rgb2gray(image);
rimage=image(:,:,1);
gimage=image(:,:,2);
bimage=image(:,:,3);
im1=medfilt2(gimage);

figure,imshow(im1);
title('Green channel with Median filter','fontsize',14,'fontname','monotype corsiva','color','red');

img=imsubtract(gray,im1);
figure,imshow(img);
title('Subtracted Image','fontsize',14,'fontname','monotype corsiva','color','red');
% img1=im2bw(img);
% figure,imshow(img1);

e = find(img>30);
mask = zeros(size(img));
mask(e) = 255;
% Region erosion through math morph
se = strel('disk',3);
maskErode = imerode(mask,se);
figure,imshow(maskErode);
title('Final Result','fontsize',14,'fontname','monotype corsiva','color','red');
end
if class==1
  detecmicro(image,name)  
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)
global class
global maskErode
global filename;
load trainfea
set(handles.uitable2,'Data',trainfea);
load trainfea
load target
E=filename;
input=trainfea';
numHiddenNeurons = 20;  % Adjust as desired
net = cascade(input,target,numHiddenNeurons);
net.divideParam.trainRatio = 80/100;  % Adjust as desired
net.divideParam.valRatio = 10/100;  % Adjust as desired
net.divideParam.testRatio = 10/100;  % Adjust as desired
% Train and Apply Network
[network,tr] = train(net,input,target);
load network
load TP
outputs = sim(network,input);
outputs=round(outputs);
E=str2num(E(1));
 plotperf(tr)
plotconfusion(target,outputs)
sen=0;
spe=0;
if class==0
    [m n]=size(maskErode);
    k=1;
    for i=1:m
        for j=1:n
            if maskErode(i,j)==255
                k=k+1;
            end
        end
    end
    TP=TP(E);
    TN=(m*n)-TP;
    FP=k;
    FN=((m*n)-k)-(TN);
    sen=TP/(TP+FN);
    spe=TN/(TN+FP);
end
set(handles.text7,'string',num2str(sen));
    set(handles.text9,'string',num2str(spe));



% --- 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)
set(handles.uitable1,'Data',0);
set(handles.uitable2,'Data',0);
axes(handles.axes1)
imshow(0);
axes(handles.axes2)
imshow(0);
axes(handles.axes3)
imshow(0);

[Navgire Om]

errors are

Dot indexing is not supported for variables of this type.

Error in retinmain>pushbutton1_Callback (line 92)

axes(handles.axes1);

Error in gui_mainfcn (line 95)

feval(varargin{:});

Error in retinmain (line 42)

gui_mainfcn(gui_State, varargin{:});

Error in

matlab.graphics.internal.figfile.FigFile/read>@(hObject,eventdata)retinmain('pushbutton1_Callback',hObject,eventdata,guidata(hObject))

Error while evaluating UIControl Callback.

>>

Answer 1

[Geoff Hayes]

Navgire - the line of code

axes(handles.axes1);

seems reasonable and so the error message

Dot indexing is not supported for variables of this type.

could have to do with the fact that handles is not properly defined. With GUIDE GUIs, this error can be seen if you have launched the GUI by double-clicking on the (in your case) retinmain.fig file. Is that the case? GUIDE GUIs cannot be launched in this manner. They can only be launched via GUIDE editor, the editor for the retinmain.m file, or by calling retinmain from the command line.

[Navgire Om]

Hello sir thanks for help still I am getting some issues

Can I have your email ...??

[Navgire Om]

So that I can share you my whole project with you

[Geoff Hayes]

Sorry, Navgire, I only correspond through this forum.