Diabetic retinopathy - matlab图像处理

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标题：Diabetic retinopathy
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所属分类: 图像处理资源类型：程序源码文件大小: 19.85 KB 上传时间: 2019-08-06 04:51:51 下载次数: 2 资源积分：1分提供者: ilambaruthi Diabetic retinopathy

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Diabetic retinopathy

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',h ,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(h , eventdata, handles, varargin)

% This function has no output args, see OutputFcn.

% h 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 = h ;

% Update handles structure

guidata(h , 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(h , eventdata, handles)

% varargout cell array for returning output args (see VARARGOUT);

% h 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(h , eventdata, handles)

% h 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','*.png','Select Image File');

complete = strcat(pathname,filename);

image=imread(complete);

axes(handles.axes1);

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

axis equal;axis off;

% --- Executes on button press in pushbutton2.

function pushbutton2_Callback(h , eventdata, handles)

% h 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); ('red channel');

figure,imshow(bimage); ('Blue channel');

axes(handles.axes2)

imshow(gimage); ('green channel','fontsize',14,'fontname','monotype corsiva','color','red');

axes(handles.axes3)

imshow(gray); ('Gray Image','fontsize',14,'fontname','monotype corsiva','color','red');

axis off;

% --- Executes on button press in pushbutton3.

function pushbutton3_Callback(h , eventdata, handles)

% h 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

[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(h , eventdata, handles)

% h 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

load trainfea

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

% --- Executes on button press in pushbutton5.

function pushbutton5_Callback(h , eventdata, handles)

% h 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);

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

img=imsubtract(gray,im1);

figure,imshow(img);

('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);

('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(h , eventdata, handles)

% h 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

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(h , eventdata, handles)

% h 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);

文件列表（点击上边下载按钮，如果是垃圾文件请在下面评价差评或者投诉）:

FundsImages.fig
FundsImages.m
RGB_YCbCr.m
S_function.m
VesselExtract.m
YCbCr_RGB.m
color_enhancement_main.m
colourfulness_metric.m
compute_cosine_modified_basis.m
cosine_dct_basis.m
enhance_composite_alpha_rooting.m
enhance_composite_dc_sigma.m
get_convert_matrix.m
jpeg_quality_score.m
lamda_weighting_function.m
lda_image_processing.m
mim.m
msk.m
myThreshold.m

关键词： Diabetic retinopathy

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关键词： Diabetic retinopathy

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