Please Help want to remove objects. URGENT!

</matlabcentral/answers/uploaded_files/8062/Screenshot%202014-03-15%2019.27.36.png> my output binary image.

Hello, Actually I am doing a project on automatic detection of diabetic retinopathy using rgb digital fundus images. I have a asked a doubt before also. Alhamdulillah I am at the ending part of my project. According to the paper I have to remove the unwanted vessels from a binary fundus image of eye. The vessels are bigger in size than the microaneurysms which are round and small which is to be detected. So I want to remove these long vessels. According to the paper I have to set a threshold value by experimentation and remove the objects below and above the threshold value area. Now please help me how to remove these objects based upon area .

My Current Code is: { clc;

clear all;

close all;

%seperating the RED GREEN BLUE components of a rgb image

X=imread('C:\MJCET\91280612.jpg');

imshow(X)

R = X(:,:,1);

image®, colormap([[0:1/255:1]', zeros(256,1), zeros(256,1)]), colorbar;title('Red Component');

set(gcf, 'Position', get(0, 'ScreenSize'));

%Green Component

G = X(:,:,2);

figure;

image(G), colormap([zeros(256,1),[0:1/255:1]', zeros(256,1)]), colorbar;title('Green Component');

set(gcf, 'Position', get(0, 'ScreenSize'));

%Blue component

B = X(:,:,3);

figure;

image(B), colormap([zeros(256,1), zeros(256,1), [0:1/255:1]']), colorbar;title('Blue Component');

set(gcf, 'Position', get(0, 'ScreenSize'));

Z=im2double(G);

%converting GREEN SCALE image to GRAY SCALE image

gray = 0.5870 * X(:,:,2);

figure,imshow(gray);title('Gray Image');

set(gcf, 'Position', get(0, 'ScreenSize'));

Y=im2double(gray);

%Median Filtering

A=im2double(Y);

U=medfilt2(A, [30 30]);

figure,imshow(U);title('Filtered Image');

set(gcf, 'Position', get(0, 'ScreenSize'));

L=im2double(U);

%Normalisation

zz = imsubtract(L,Z);

figure,imshow(zz),title('Normalised Image');

set(gcf, 'Position', get(0, 'ScreenSize'));

%Histogram Equalisation

%% HISTOGRAM EQULAIZER %%

figure,subplot(1,2,1),imshow(zz), title('Original Image')

set(gcf, 'Position', get(0, 'ScreenSize'));

subplot(1,2,2),imhist(zz),title('Original Image Histogram')

set(gcf, 'Position', get(0, 'ScreenSize'));

%% Calculating the CDF

hst=imhist(zz);

j=1;

cdff(1,1)=hst(1,1);

for i=2:256

cdff(i)=hst(i)+cdff(i-j);

end

cdff1=cdff';

cdf_min=min(cdff);

[row col]=size(zz);

mn=row*col;

figure, plot(cdff), title('CDF of Image')

set(gcf, 'Position', get(0, 'ScreenSize'));

%% calcuting new intensity

for indx=1:length(cdff)

h(indx)=round((cdff(indx)-cdf_min)/(mn-cdf_min)*255);

end

h1=h';

figure,plot(h1), title('New value for General Histogram')

set(gcf, 'Position', get(0, 'ScreenSize'));

%% EQULIZED IMAGE

HIm=double(zeros(size(zz,1),size(zz,2)));

for i=1:row;

for j=1:col;

HIm(i,j) = h((round(zz(i,j)+1.623)));

end

end

figure,subplot(1,2,1),imshow(HIm), title('Equlized Image')

subplot(1,2,2),imhist(HIm) ,title('Equlized Image Histogram')

set(gcf, 'Position', get(0, 'ScreenSize'));

% Multilevel Thresholding

K=im2double(HIm);

% Compute the thresholds

threshRGB = multithresh(K,1);

figure,imshow(threshRGB);

 set(gcf, 'Position', get(0, 'ScreenSize'));

% Apply the thresholds to obtain segmented image

seg_I = imquantize(K,threshRGB);

figure,imshow(seg_I);

set(gcf, 'Position', get(0, 'ScreenSize'));

value = [0 threshRGB(2:end) 255];

% Quantize entire image using one threshold vector

quantRGB = imquantize(K, threshRGB, value);

% Quantize each RGB plane using threshold vector generated for that plane

imshow(quantRGB);

set(gcf,'Color',[1.0 1.0 1.0]); % set background color of figure

title('Thresholded Image');

set(gcf, 'Position', get(0, 'ScreenSize'));

%Removal Of Vessels

F=im2double(quantRGB);

binaryimage= F >= 30 & F <= 170;

figure,imshow(binaryimage);

set(gcf, 'Position', get(0, 'ScreenSize'));

}

NOW PLEASE HELP ME HOW TO REMOVE OBJECTS OR VESSELS FROM AN IMAGE BASED UPON AREA!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

[Walter Roberson]

http://www.mathworks.com/matlabcentral/answers/29922-why-your-question-is-not-urgent-or-an-emergency