hiii....I want to separate the portion from the image(I attached image below). Plz help me in separating that portion

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Bhagyashree Shivpuje 2016-8-20

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评论： Image Analyst 2016-8-25

In one image diseased portion is there and other image the boundary is detected. My problem is how to extract only the diseased portion from the boundary image.

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Answer 1

Image Analyst 2016-8-20

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There is nothing in MATLAB to do that (dental caries segmentation) at a high level. You'll have to build it up from lower level functions. Look to the published image analysis or dental literature for algorithms that you can code up.

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Bhagyashree Shivpuje 2016-8-24

编辑：Bhagyashree Shivpuje 2016-8-24

在 MATLAB Online 中打开

1.jpg

Okay. Now tell me one thing. I have calculated the area by using regionprops instruction. in that I want the portion to be displayed which has maximum area. How can I do that? my code is written here.

clc;

clear all;

close all;

imtool close all;

workspace;

%% Read input image

[I,pathname] = uigetfile('*.jpg','Select an input');

str = strcat(pathname, I);

A = imread(str);

A = rgb2gray(A);

figure, imshow(A); title('Original grayscale Image');

%% Thresholding operation based on given range

A1 = Thresholding(A);

figure, imshow(A1); title('thresholded image');

%% Segmentation using connected component labeling

A1 = uint8(A1);

A2 = immultiply(A,A1);

figure, imshow(A2,[]); title('Multiplied Image');

A3 = A2;

A2 = logical(A2);

cc = bwconncomp(A2, 8);

n = cc.NumObjects;

Area = zeros(n,1);

Perimeter = zeros(n,1);

%% Feature Extraction

k = regionprops(A2,'Area', 'Perimeter', 'MajorAxis', 'MinorAxis');

for i = 1:n

 Area(i) = k(i).Area;
 Perimeter(i) = k(i).Perimeter;

end

%% Feature Storage

graindata(1,1) = mean(Area);

graindata(2,1) = mean(Perimeter);

%% Boundary Detection using Canny Operator

BW = edge(A3, 'canny',0.3);

figure, imshow(BW); title('Boundary of the multiplied Image');

-----------------------------------------------------------------

%function thresholding used in main program

function im = Thresholding(A)

[r,c] = size(A);

im = zeros(r,c);

for i = 1:r

    for j = 1:c;
        if A(i,j)>45 & A(i,j)<100
            im(i,j) = 1;
        end
    end

end

im = bwareaopen(im,5);

im = imfill(im, 'holes');

Bhagyashree Shivpuje 2016-8-25

Thank you..it works..

Image Analyst 2016-8-25

Then can you please "Accept this answer"?

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hiii....I want to separate the portion from the image(I attached image below). Plz help me in separating that portion

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hiii....I want to separate the portion from the image(I attached image below). Plz help me in separating that portion

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