how to separate region of interest from the rest portion

I have taken a photograph and got the ROI based on the color of the skin.Now i want to seperate the ROI from the rest of the portion.

[Image Analyst]

What does that mean? You already have an ROI so I assume that is a binary image of which pixels are skin and which are not. What else more do you need? What are the two things you will have after you do this undefined "separation"?

[tawheed jan]

Actually I want to get two separate images,one the roi and the other is the rest of the portion(meaning the remaining background,shoulders etc.

Answer 1

[Image Analyst]

Try the attached test script, below in blue.

[ensg]

HELLO I NEED TO HELP WITH MY PROJECT I DO AN HISTOGRAM AND I STUDY THE PARTS OF OXIGEN AND THE NASAL BONES BECAUSE I AM GOINT TO DO AXIAL CUTS IN THE HEAD PLEASE HELP ME WITH THE MATLAB CODE THANKS

[ensg]

DO YOU SPEAK SPANISH?

[Image Analyst]

No I don't, or just barely enough, "tourist spanish". Google translate does, at least enough to get a somewhat understandable translation.

[ensg]

you understand me ?

[ensg]

i need help i like contact with you and i tell you my project trank you very much

[Image Analyst]

Yes. Just go ahead and start your own new question.

[ensg]

I have the file and have more good files with this file drawing head and I have to do a histogram and separate air and bones and select the ROI I have that make axial slices and make a histogram my teacher has told me that I have to use bulabel i need help

[ensg]

% 1_0 -> efecto de "loncheado" vertical, parece que faltasen cortes % 1_1 -> scan vertical en 2 tramos inconexos, "loncheado" % 1_2 -> no es 3D, son 2 cortes sueltos % 1_3 -> orientación "tumbado" % 2_0 -> OK, 47 cortes eje axial % 2_1 -> OK, 29 cortes eje axial % 2_2 -> OK, 201 cortes eje axial % 2_3 -> OK, 47 cortes eje axial % 2_4 -> OK, 201 cortes eje axial % 2_5 -> no es 3D, un solo corte % 2_6 -> orientación "tumbado", con proyección incluida

load 'TAC-Nasal-MATLAB\TAC_Nasal_2_2' v = volume(1:2:end,1:2:end,1:1:end); close all, figure(1) p = patch(isosurface(v, 700)); %isonormals(v, p) set(p, 'FaceColor', 'red', 'EdgeColor', 'none'); daspect([1 1 size(v,3)/size(v,1)*1.5]) view(3) camlight; lighting phong

figure(2), v2=zeros(size(v,1),size(v,2),1,size(v,3)); v2(:,:,1,:)=v; v2=(v2-min(v2(:)))/(max(v2(:))-min(v2(:))); montage(v2), set(gcf,'Name',[num2str(size(v,3)) ' cortes verticales'])

[ensg]

this is the code to get the head now i am going to do axial cut and the histogram..... thanks