Feature extraction of texture, irregularity

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ali 2016-5-3

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https://ww2.mathworks.cn/matlabcentral/answers/282388-feature-extraction-of-texture-irregularity

编辑： Anjali Acharya 2018-8-10

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Is there any opinion about how can calculate these kind of texture's regularity metric. You see there is difference because of directionality,particle shape, size, placement etc. Is there any code for this. regards

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Answer 1

Image Analyst 2016-5-3

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Try functions like stdfilt(), graycomatrix(), graycoprops(), regionprops(), etc. There are a lot of things you could potentially measure so the algorithm depends on exactly what you're interested in characterizing.

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Image Analyst 2016-5-3

If you use regionprops() you can get the centroid of all the blobs. Then you can use pdist2() in the stats toolbox to find the distance of every centroid to every other centroid. Sometimes people look at the mean distance of the 5 or 10 closest blobs.

Anjali Acharya 2018-8-10

编辑：Anjali Acharya 2018-8-10

在 MATLAB Online 中打开

How can we use GLCM features to obtain fractal dimension?

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Answer 2

Image Analyst 2016-5-3

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See my other answer to Alex:

http://www.mathworks.com/matlabcentral/answers/281284#answer_219675

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Image Analyst 2016-5-5

http://www.mathworks.com/matlabcentral/answers/13205-tutorial-how-to-format-your-question-with-markup

Image Analyst 2016-5-8

在 MATLAB Online 中打开

You're calling pdist2() incorrectly. You have to pass it two arrays of x,y coordinates. In your case they will be the same array. So you should do

distances = pdist2(centroids, centroids, 'euclidean');

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Answer 3

ali 2016-5-5

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编辑：ali 2016-5-5

untitled.jpg

s = regionprops(newBW2,'centroid'); % calculate the remaining objects centers. centroids = cat(1, s.Centroid);

D = pdist2(centroids(:,1),centroids(:,2),'euclidean');

the result just Centroid: [949.2040 788.5083], why i cant take all distances if blobs big then calculate but for this figure the particles small then just one centroid. What is wrong? So the value i use for irregularity always zero because std(D)=0 and mean(D)=0 because of the D is just one value. How can i solve this

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ali 2016-5-9

编辑：ali 2016-5-9

在 MATLAB Online 中打开

%% ifeatures=zeros(1,5);%/to take features close all; for i=1:30%/for take one by one image close all;

%preprocessing step for images readimage=tum{1,i}; new_image = readimage(1:1460, 1:2080); %//%% imshow(new_image);

%convert to gray image binary level %suggested threshold for 3 and 5 level about 0.7 %7 level ıs 0.5 thresh_image=im2bw(new_image,0.7); %threshold level define 0.7 5 icin, 0.5 7 ler icin % figure;imshow(thresh_image);

%complement stage thresh_image_conv=imcomplement(thresh_image);figure;imshow(thresh_image_conv);

%removing dispersed areas from image %level is determined by expert and found empirically BW2 = bwareaopen(thresh_image_conv,5000); %remove small dipserse objects % figure;imshow(BW2); newBW2=imsubtract(thresh_image_conv,BW2);figure;imshow(newBW2); %substract image to remove non-dispersed areas %

%this part use for extract features from images(binary) if(mean2(newBW2)~=0) % calculate the remaining objects centers. s = regionprops(newBW2,'centroid','Area'); area = extractfield(s,'Area'); centroids = cat(1, s.Centroid); % combine all them [labeledImage, numberOfObject] = bwlabel(newBW2);

    %calculate the distance between them
    D = pdist2(centroids,centroids,'euclidean');  
    value=std(D)/mean(D) %irregularity
    value1=mean2(D)  % average value of all distances
    value2=std(D); %std for all areas
elseif(mean2(newBW2)==0)
    value=0;
    value1=0;
    value2=0;
end
temp_new=horzcat(value,value1,numberOfObject,mean2(area),max(value2));
ifeatures=vertcat(ifeatures,temp_new);
end

ali 2016-5-9

编辑：ali 2016-5-9

size(centroids)

answer 1 2

ali 2016-5-10

waiting for this suggestion you ImageAnalyst

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Answer 4

ali 2016-5-9

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https://ww2.mathworks.cn/matlabcentral/answers/282388-feature-extraction-of-texture-irregularity#answer_221467

编辑：ali 2016-5-9

Actually I want to look at for this images dispersion level. The white cells dispersion is high(regular) or not on the surface image that is the reason why i want to measure this. Like homogeneus dispersion but GLCM not give significant so i want to design new feature. Like your suggestion i cant take dimension what is wrong my code? Fractal analysis can be use or not?

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Image Analyst 2016-5-9

This is not an answer to the original question. Was it a comment to me, or a comment on your other "answer"?

ali 2016-5-10

This is an another idea that comes my mind. I m waiting for your suggestion another centroid question

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Answer 5

ali 2016-5-10

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And image analyst do you have any suggestion for calculation distance for this D = pdist2(centroids,centroids,'euclidean'); for mathematical formula and other suggestions from you for centroid question

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Feature extraction of texture, irregularity

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