Texture Feature Extraction from a mammography Image
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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)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/166408/image.png)
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];
댓글 수: 2
Walter Roberson
2017년 7월 29일
편집: Walter Roberson
2018년 11월 10일
This should have been posted to https://www.mathworks.com/matlabcentral/answers/350414-mammography-image-feature-extraction
Ankur Pruthi
2021년 2월 22일
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
답변 (8개)
fatin rasyidah
2017년 11월 26일
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
댓글 수: 5
Hoang Duy
2019년 12월 15일
Hi Mohamed Ahmed can u send me the MATLAB code for ROI extraction and Segment the ROI with thanks my email duyhm1998@gmail.com
sathya lakshmanan
2018년 10월 16일
Hi Mohamed Ahmed can u send me the MATLAB code for ROI extraction and Segment the ROI with thanks my email sathyass660@gmail.com
댓글 수: 0
hamid hosseinabadi
2018년 12월 17일
Hi Mohamed Ahmed plz send to me your MATLAB code hosseinabadi_hamid@yahoo.com
댓글 수: 0
Loai Kinani
2019년 4월 17일
Hi Mohammad,
can you share the the matlab code of pectoral muscle removal.
Thank you
댓글 수: 0
ahmed nageeb
2019년 6월 22일
hello every one
when use SegI , give me error
Undefined function or variable 'SegI'.
can help me
댓글 수: 1
Walter Roberson
2019년 6월 23일
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.
mary mwadulo
2019년 9월 25일
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.
댓글 수: 1
manish kumari kumari
2020년 4월 15일
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
Amelougou Abderrahman
2022년 5월 19일
편집: Amelougou Abderrahman
2022년 5월 19일
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
댓글 수: 0
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