Texture Feature Extraction from a mammography Image

I need to extract Texture Features of ROI to be classified whether as benign(normal) or malignant(abnormal).
I used a code, but it's results is not good using different well-known classifiers (SVM kernels for example)
I uploaded a picture that illustrates the following:
1- The first picture titled as('Removed Pectoral'): Breast Image after removing (pectoral muscle)
2- The second picture titled as('ROI'):The Extracted ROI from the removed pectoral muscle image
3- The third picture titled as('segmented ROI): Is the Segmented ROI (Segmentation of ROI image)
My main aim is to obtain the features I uploaded (Additional features in the code)
I used this code for obtaining the features
% Use the Extracted ROI named as "ROI" in the uploaded Images
% Use the following angles "offset":(0,45,90,135)
GLCM = graycomatrix(ROI,'Offset',[0 1;-1 1;-1 0;-1 -1]);
% Calculate the four built-in MATLAB features
stats=graycoprops(GLCM,{'Contrast','Homogeneity','Correlation','Energy'});
contrast=(stats.Contrast);
en=(stats.Energy);
co=(stats.Correlation);
hom=(stats.Homogeneity);
% Calculate mean and standard deviation
m=mean(mean(ROI));
s=std2((ROI));
% The first feature vector
f1=[m s hom co en contrast];
% Calculate the texture Features
% Picture used is" segmented ROI" in the uploaded images
% This picture is the segmentation of " ROI " picture used at the
% beginning of the code
% Features to be extracted " Area, Perimeter, compactness, smoothness, entropy,..."
J2=SegmentedROI;
I=J2;
J2 = uint8(255 * mat2gray(J2));
% Detecting the edges of the ROI
J3=edge(J2,'log');
bw=bwareaopen(J2,150);
bwp=edge(bw,'sobel');
geometric.area=sum(sum(bw));
geometric.peri=sum(sum(bwp));
geometric.compact=geometric.peri^2/geometric.area;
count=1;
roih=0;
for i=1:size(bw,1);
for j=1:size(bw,2);
if bw(i,j)
roih(count,1)=double(SegI(i,j));
count=count+1;
end
end
end
nh=roih/geometric.area;
texture.mean=mean(roih);
texture.globalmean=texture.mean/mean(mean(double(I)));
texture.std=std(roih);
texture.smoothness=1/(1+texture.std^2);
texture.uniformity=sum(nh.^2);
texture.entropy=sum(nh.*log10(nh));
texture.skewness=skewness(roih);
texture.correlation=sum(nh'*roih)-texture.mean/texture.std;
yy=[texture.mean,texture.globalmean,texture.std,texture.smoothness,texture.uniformity,...
texture.entropy,texture.skewness,texture.correlation];
y1=[y1;yy];
xy=[geometric.area,geometric.peri,geometric.compact];
x1=[x1;xy];
f2=[x1 y1];
Totalfeaures=[f1,f1];

2 Kommentare

Hi mohamed ahmed. Can u please share the code for pectoral muscle removal from the image. It would be of great help to me. Mail id- ankpru@gmail.com

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Antworten (8)

fatin rasyidah
fatin rasyidah am 26 Nov. 2017

1 Stimme

hi Mohamed Ahmed, may I know what method that u use to extract ROI and segment the ROI. I hope u can share it, because i am currently doing the same thing like u have did. thanks in advance

5 Kommentare

Hi Mohamed Ahmed can u share the MATLAB code for Pectoral muscle remove, ROI extraction and Segment the ROI.I am doing the same project for my final year project so can u send plz.It is very urgent. my email id-manjhi0107@gmail.com
Hi Mohamed Ahmed can u send me the MATLAB code for ROI extraction and Segment the ROI with thanks my email samarkassir@yahoo.com
aiesha
aiesha am 28 Aug. 2018
hi to all, i am undergraduate student , and doing work on detecting breast cancer from mammogram images as my project. can anyone please share the MATLAB code for Pectoral muscle remove, ROI extraction and Segment the ROI or any other details or code material related to my project. kindly reply me ASAP . This help will be very meaningful to me.
Hi Mohamed Ahmed can u send me the MATLAB code for ROI extraction and Segment the ROI with thanks my email duyhm1998@gmail.com

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sathya lakshmanan
sathya lakshmanan am 16 Okt. 2018

0 Stimmen

Hi Mohamed Ahmed can u send me the MATLAB code for ROI extraction and Segment the ROI with thanks my email sathyass660@gmail.com
hamid hosseinabadi
hamid hosseinabadi am 17 Dez. 2018

0 Stimmen

Hi Mohamed Ahmed plz send to me your MATLAB code hosseinabadi_hamid@yahoo.com
Loai Kinani
Loai Kinani am 17 Apr. 2019

0 Stimmen

Hi Mohammad,
can you share the the matlab code of pectoral muscle removal.
Thank you
ahmed nageeb
ahmed nageeb am 22 Jun. 2019

0 Stimmen

hello every one
when use SegI , give me error
Undefined function or variable 'SegI'.
can help me

1 Kommentar

You are correct, the code that was posted does not define several of the variables.
SegI is not a function: it is a variable the user defined but did not show us the construction of.

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mary mwadulo
mary mwadulo am 25 Sep. 2019

0 Stimmen

hi Mohamed Ahmed,can you kindly share with me the MATLAB code for pectoral muscle removal, extracted ROI and Segmented ROI.Am currently working on the same. my email is mwalowe@yahoo.com thank you.

1 Kommentar

hi Mohamed Ahmed,can you kindly share with me the MATLAB code for pectoral muscle removal, extracted ROI and Segmented ROI.Am currently working on the same. my email is mk2634347@gmil.com

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Elahe Mgh
Elahe Mgh am 11 Aug. 2020
Bearbeitet: Elahe Mgh am 11 Aug. 2020

0 Stimmen

Hi Can you send me the matlab code for extracted ROI and segmented? elaheh_mgh@yahoo.com
Amelougou Abderrahman
Amelougou Abderrahman am 19 Mai 2022
Bearbeitet: Amelougou Abderrahman am 19 Mai 2022

0 Stimmen

hello everyone please I need your help urgently...I worked at first with the Matlab FirstCode code which allows me to delete the pectoral muscle after the background deletion but I would like to see my final image of the same original image size that's why I tried to work on the same code with modifications: 1. orientation of the images right to left and 2. do not remove the background 3 .determine the first and the last non-black pixel in the image i.e. I determine my region of interest ROI 4.application of pectoral muscle removal algorithm .....but unfortunately does not give results requested (muscle removal).....please help

Gefragt:

am 29 Jul. 2017

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